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Our Lawsuit Against the Trump Administration’s Social Media Surveillance Moves Forward. Here’s What the Court Said.

15 October 2026 at 22:08

No one should have to choose between speaking freely and protecting their immigration status. Yet that’s precisely the choice the Trump administration’s mass surveillance of online speech forces on noncitizens living in the U.S.   

Last fall, we sued on behalf of three major labor unions to stop this surveillance program. And just this month, we won our first major ruling: A federal district court denied the government’s motion to dismiss our lawsuit. This means the case can move forward—a win for free speech and a critical step in protecting our First Amendment rights online. We’ve already explained why this is a big deal for our clients, so let's take a closer look at the court’s reasoning.  

Our Lawsuit 

 Since taking power, the Trump administration has used AI and other automated tools to broadly surveil the social media and online speech of visa and green card holders, with the goal of identifying and punishing people who express views it opposes. The government is targeting a broad range of views, including criticism of the Trump administration; support for Palestine or criticism of Israel; “rationalizing or making light of” Charlie Kirk’s murder; and anything nebulously “hostile” to American culture, founding principles, “traditional American views,” or “our way of life.”  

It has paired that surveillance with a public intimidation campaign. High-ranking officials have explicitly threatened to punish noncitizens for their online speech, then followed through with a series of terrifying viewpoint-driven enforcement actions. This has led to a significant chilling effect on speech, not just for noncitizens, but also for their families, coworkers, and friends. 

In response, three major labor unions—the United Auto Workers (UAW), the Communications Workers of America (CWA), and the American Federation of Teachers (AFT)—sued the Departments of State and Homeland Security alleging that this viewpoint-based surveillance program violates the First Amendment and the Administrative Procedure Act (APA).  The unions are represented by EFF, Muslim Advocates (MA), and the Media Freedom & Information Access Clinic (MFIA). 

The government moved to dismiss our lawsuit, arguing first that federal immigration law prevents federal district courts from hearing the case, and second, that the unions don’t have “standing” to sue. Judge Alvin K. Hellerstein of the Southern District of New York rejected both arguments and allowed the case to proceed. At this stage in the litigation, the court accepted all of the facts in our complaint as true and analyzed the law based on those facts. We will now prove these facts as the case proceeds. 

Federal Immigration Law Doesn’t Block Our Lawsuit 

 The government first argued that the court had no power to hear our case at all. It pointed to three provisions of the Immigration and Nationality Act (INA) that restrict when federal courts can review immigration matters. The district court disagreed and rejected each provision in turn. 

The first provision, 8 U.S.C. § 1252(b)(9), is often called the “zipper clause.” It bars federal courts from hearing challenges that arise from efforts to deport someone, except through review of an individual’s final removal order. The government claimed the zipper clause applies here because our lawsuit is really an effort to stop it from initiating adverse immigration actions. 

 The district court wholly rejected this argument. Relying on the Second Circuit’s decision in Ozturk v. Hyde, it held that the zipper clause bars only challenges to a particular individual’s removal proceedings, not a lawsuit like ours that challenges the constitutionality of the surveillance program itself. That the surveillance program might affect someone’s immigration proceeding down the line doesn’t turn our lawsuit into a removal challenge. 

 The court similarly rejected the government’s argument that § 1252(g) and § 1252(f)(1) prevent federal courts from hearing this case. Our suit, the court explained, “challenges the constitutionality of a government policy that is collateral to any active removal proceedings,” so § 1252(g) doesn’t apply. And § 1252(f)(1) only limits what kind of relief a court can give. So while the court may not be able to stop a particular person’s removal proceedings, it can still block “an unlawful surveillance program that suppresses free speech.” 

 The Unions Have Standing to Sue 

 To sue in federal court, a plaintiff must show that it has “standing” to bring its claims. This requires a plaintiff to show an “injury in fact” that is, among other things, “concrete.” That’s often a high bar in surveillance cases, where plaintiffs can’t easily see what the government is doing behind the scenes. And the Supreme Court has held that a person’s mere subjective fear of surveillance is too speculative to confer standing.  

Even so, our plaintiffs cleared the bar. The court held that the unions alleged concrete injuries, including a chill on members’ speech that is objectively reasonable, not just subjectively felt. It found that the unions had established standing in two ways: “organizational standing,” based on the unions’ own injuries, and “associational standing,” based on injuries the unions’ members have suffered. 

Organizational Standing 

The court first held that our plaintiffs had successfully alleged an injury to the unions themselves (injury was the only aspect of organizational standing the government disputed). The surveillance program has harmed the unions’ ability to carry out their core responsibilities, including “organizing their members and advocating for the unions’ goals.” The court made two key points: 

1. Unions Are Injured When Members Go Silent 

As we explained in our complaint, the surveillance program has caused members to step back from union leadership roles; stop participating in union activities online and in person; remove their names from union webpages; and avoid filling out bargaining surveys. Members who might otherwise spread the unions’ message and raise awareness of union issues are staying quiet, hampering the unions’ ability to organize. The court said this amounts to a concrete injury for purposes of standing. 

2. Surveillance Doesn’t Need to Target Pro-Union Speech  

 The court also rejected the government’s claim that members’ retreat from union activities was “essentially an overreaction,” because the surveillance doesn't target pro-union views. The court said this misunderstands the issue: “the question is whether the Government’s conduct would deter a person of ordinary firmness from engaging in protected activity, not whether the specific expression a member forgoes is itself among the viewpoints the Government disfavors.” 

Here, the surveillance program monitors noncitizens’ online activity indiscriminately, and members “cannot reliably predict which of their activities will be captured” and attributed to a disfavored viewpoint. What’s more, the court noted, the unions’ organizing often happens alongside the very advocacy the government is alleged to target, “including pro-Palestine and anti-ICE activism on college campuses.” That makes members’ retreat from union activity a foreseeable consequence of the program. 

Associational Standing  

 The court also held that the unions established associational standing to sue on behalf of their members. Of the three requirements for associational standing, the government challenged only two. It argued that members lacked sufficiently concrete injuries to sue in their own right, and that the claims aren’t “germane” to the unions’ purpose. 

The court disagreed and found associational standing for every claim but one: members’ right to receive information. That claim survives anyway, because the unions’ organizational standing covers it. Along the way, the court made several important rulings. 

 1. The Ongoing Surveillance Is a Present Injury 

 As a threshold matter, the government argued that our case is a “pre-enforcement challenge,” meaning we sued before the government actually punished anyone. That would trigger a different test, and the government argued we failed it because we hadn’t alleged a sufficiently imminent threat of prosecution. 

The court disagreed, explaining that “Plaintiffs’ allegations are of an ongoing surveillance program that is actively chilling the speech of their members and otherwise causing harm.” That chilling effect is a First Amendment injury even if there isn’t a direct prohibition on speech. And when government conduct is actively chilling speech right now, a challenge to it isn’t pre-enforcement. 

 2. Surveillance + Public Threats Reasonably Chills Speech 

 The court rejected the government’s argument that we alleged only a generalized, subjective, speculative fear of surveillance, explaining that “the chilling effect” of the program can “itself be an injury when the plaintiffs are surveilled.” Here, plaintiffs have alleged that their members are under active surveillance, which has had objective chilling effects on their speech. And the government is targeting certain disfavored viewpoints, making it “viewpoint discrimination” that is “presumptively unconstitutional.” 

The chill is also objectively reasonable, the court held, because the government has extensively publicized the surveillance program through public statements and social media posts, making clear that noncitizens who post disfavored views will be targeted for removal. Notably, the court agreed with us that the “threat of adverse immigration consequences, under a government whose harsh immigration crackdowns has been heavily publicized and reported on, is certainly enough to deter a person of ordinary firmness from the exercise of First Amendment rights.” This is a concrete injury sufficient for standing. 

3. Demanding Social Media Handles Also Causes Harm 

Under the surveillance program, applicants for certain immigration benefits must disclose all social media handles they have used during the preceding five years and, in some instances, maintain public social media accounts. The district court held that this too amounts to a First Amendment injury, undermining the rights to anonymity and freedom of association.  

The judge pointed to one CWA member we identified, a lawful permanent resident with a pending naturalization application who is subject to the five-year disclosure requirement. The member has deleted one social media account, set another to private, and removed past posts expressing disfavored views. These allegations, the court said, show an actual and objectively reasonable injury due to the government’s surveillance program.

4. General, Public Threats Can Still Be Coercive 

We also argued that the Trump administration is waging a campaign of coercive threats to suppress disfavored speech, which the First Amendment prohibits. The court agreed that this campaign can be an actionable injury of its own. 

Notably, the court held that it didn’t matter that the government’s statements were not specifically targeted at certain individuals, and were instead made on social media or to the public. In this case, the court explained, “the number, severity, and high-profile examples of action upon those threats are such that a reasonable person would perceive the communication as coercive.” 

That means it’s reasonable that the unions’ members “would, and did, limit their public speech on disfavored viewpoints” in response. That the threats were made to the general public “does not diminish this injury,” as the very purpose of the challenged surveillance program is to intimidate noncitizens into silence.  

5. Free Speech is Central to Union Functioning 

The court also found that the unions met the second prong of associational standing. It held that the unions’ interests in protecting their members’ rights to speak freely, organize, and advocate, are “germane” to the unions’ missions. The court put it plainly:

The freedom of Plaintiffs’ members to speak, associate, and appear publicly is not incidental to union work, but rather is the mechanism through which unions recruit, organize, communicate, and bargain. A program alleged to silence members and drive them from the unions’ rolls therefore strikes at the unions’ representational function itself.

Next Steps 

When the government surveils what people post online and threatens to punish them for their viewpoints, the result is exactly what our clients have experienced. Members have deleted their accounts, scrubbed posts, and withdrawn from union activities. 

The government must now answer our complaint and we will move forward with the discovery process, in which we anticipate getting more information from the government about its surveillance program. We look forward to continuing to prove our case. 

DHS Inspector General Finds That TSA is Not Properly Safeguarding Passenger Facial Recognition Data

14 October 2026 at 22:27

EFF legal intern Gabrielle Ladun was the principal author of this post. 

The Department of Homeland Security Office of Inspector General (DHS OIG) has published a summary of findings from its audit of the Transportation Security Administration’s (TSA) facial recognition technology. While the detailed findings are classified, the summary states that the OIG’s audit uncovered a “significant weakness” in the technology’s ability to protect the privacy of passenger data. This has massive privacy implications for the millions of passengers who travel and don’t opt out of the TSA’s biometric surveillance technology verification process. 

TSA uses facial comparison technology for identity verification of airline passengers. A camera takes a photo of passengers to verify that their provided identification matches their live photo. Although TSA states that it is “committed to protecting traveler privacy,” the audit highlights that this has not been the case.  

The OIG found that TSA’s Credential Authentication Technology 2’s (CAT-2) vendor “was able to access and extract sensitive passenger information, including driver’s license and passport images, during system troubleshooting and enhancements, without TSA’s knowledge.”  

The OIG further admonished the agency:  

TSA lacked clear policies, did not track when this data was extracted, could not verify that extracted information was properly deleted, and did not notify passengers when their biometric and biographic information may have been stored. As a result, although passenger information was generally protected during routine operations, weaknesses in vendor oversight created a risk that sensitive personal information could be retained or exposed. 

We hope the TSA will fix these issues. The OIG summary states: 

We issued one finding and three recommendations to strengthen controls, improve oversight, and ensure transparency and the proper handling of passenger data. TSA concurred with all three recommendations. Two recommendations are open and resolved, and one remains open and unresolved. 

Why EFF Opposes the Government’s Use of Facial Recognition Technology 

EFF has a long history of opposing governmental use of facial recognition technology. As the OIG’s audit underscores, this technology presents privacy risks associated with unsecured data, unauthorized access, and data breaches. The government’s use of this technology also creates a mass surveillance system and facilitates the creation of warrantless biometric records for unconsenting parties.  

The biometric data captured by this technology is not without errors. There have been multiple instances of law enforcement agencies using facial recognition technology to misidentify and arrest innocent individuals.  

Reminder: Opting Out of TSA Photos Is Possible 

Given that facial recognition technology is prone to mistakes, combined with the OIG’s audit revealing significant privacy weaknesses, it is imperative that travelers remember that opting out is possible. TSA’s own website emphasizes that travelers who wish to decline to have their photo taken for facial comparison can do so without any delay, disruption, or recourse.  

Considering the data protection weaknesses exposed by the OIG’s audit, EFF will continue to oppose this governmental system of mass surveillance and spread awareness to ensure that no one is forced to relinquish their biometric data without consent. 

As Federal Court Rules ALPRs are Mass Surveillance, EFF Gets Disappointing Ruling

13 October 2026 at 19:19

In an extremely disappointing ruling, a California trial court dismissed SIREN v. San Jose, our case challenging the city of San Jose’s warrantless searches of its vast stores of automated license plate reader (ALPR) data. EFF and the ACLU of Northern California represent SIREN and CAIR California, two non-profits that serve San Jose residents, in this case.

Make no mistake: We believe this ruling is wrong on the law, and we will appeal. The ruling ignores the importance of landmark rulings from the U.S. Supreme Court regarding the invasiveness of aggregating collected data on an individual over time, including one issued just months ago. It also severely underestimates the harm that ALPRs cause, in San Jose and around the country. 

San Jose’s ALPR surveillance system is inescapable. It blankets the city’s streets in nearly five hundred cameras that continuously photograph every car that passes by and retains the collected data for a month or longer. In our briefs, we argued that law enforcement officers who warrantlessly search the resulting ALPR database are violating the California Constitution’s ban on unreasonable searches and its guarantee of privacy. The court disagreed, explaining that based on one California appeals court case involving individual streetlight cameras, people do not have a reasonable expectation of privacy when driving on a public road. This is wrong. Networked ALPRs are not individual streetlight cameras. Their net effect of tracking and mapping cars as they travel reveals patterns of life, intimate relationships, and much more.

Fortunately, there are signs that the tide is turning against ALPRs in the courts. Just a day before the ruling in our case, a federal district court in Oklahoma called ALPRs “a type of indiscriminate mass surveillance” and decided that a law enforcement officer’s warrantless search of ALPR data violated the Fourth Amendment. The officer was observing traffic on an Oklahoma highway when he saw a woman driving a car with California plates. According to the court order, the officer began following the woman “for no apparent reason” other than her out of state plates. While following her, the officer decided to run the woman’s license plate number through Flock’s ALPR system – again, with no apparent reason other than her California plates. The Flock search returned at least 30 days of data, allowing the officer to track the car across at least three states, over the span of a month, from a single search.

The facts of this case demonstrate how ALPRs allow law enforcement to grab a breathtakingly vast sweep of information about a car (and the driver within) with no more effort than a Google search. It’s true that when a person drives on public roads, they can be observed, including by police. But as the Supreme Court has explained, we don’t expect law enforcement to be able to secretly track and store every movement our cars while we’re driving. The federal court in the Oklahoma case aptly illustrated this difference in societal expectations:

We might reasonably expect our friends and family to tell us something like: “Hey, I saw you out driving by the store last week.” But we do not expect people we know—let alone strangers, and especially not law enforcement—to randomly approach us to say: “Hey, I have been following your car for the last 30 days, and here is a detailed log of every place your vehicle has been with supporting photographic evidence. I am also going to share this information with law enforcement throughout the country so they know your whereabouts, too.

This decision is the first of its kind, and EFF will continue working to ensure that it is the first of many. Outside the courts, we’ve seen people across the country step up to reject ALPRs at the state and local level. EFF will continue challenging this technology on every front as well.

Unidentified Flock Cameras in Florida

2 October 2026 at 16:52

St. Lucie County in Florida discovered (alt link) a dozen Flock cameras whose ownership it can’t identify, and that the county government had not permitted.

I am reminded of the decade-old story of StingRay cell phone surveillance devices in Washington, DC, whose operators were also unknown.

My guess is that in the StingRay case, the devices were operated by foreign actors. This Flock case is more likely some local government entity that didn’t bother getting approval. Were I a foreign actor, I would rather hack the existing Flock network—like Israel did with Tehran’s surveillance cameras—than risk installing my own.

Regardless, once we normalize a surveillance infrastructure, both friends and foes will take advantage of it.

Connected Cars Are a Surveillance Platform

1 October 2026 at 13:06

Researchers at Northeastern University, in collaboration with Consumer Reports, evaluated how much modern cars spy in their drivers:

The new Northeastern study shows, for the first time, data flowing among the vehicles, the vehicle apps you download when you buy your car, and third-party companies, documenting exactly what kind of data gets siphoned from our vehicles and which companies are receiving that information.

Basically, your car’s manufacturer has you under constant surveillance, and they use that data against you.

The companies on the receiving end of your data, our investigation has found, include car insurers and lenders that are partners in “telematics data exchanges,” which compile driving data on millions of drivers, thousands of data brokers that create personalized risk scores, companies selling infotainment and WiFi hotspot products, and even local and state government agencies working on planning, traffic, and safety initiatives.

Nearly every automaker sent data to outside companies.

Even more troubling, almost a quarter of the vehicle apps were found to be sending out personally identifiable information, including vehicle owners’ names, vehicle identification numbers (VINs), and precise geographic locations. That information can make it easy for companies to link driving behavior to personal data profiles created by data brokers and marketers. Such profiles are routinely sold to banks, insurers, pharmaceutical companies, lenders, and retailers, who can use it for personalized loan terms and filtered bank and insurance offers, a CR and CalMatters investigation found.

Remember the adage “If you’re not the customer, then you’re the product”? (The sentiment is older than you think.) Turns out that with modern internet-connected everything, you’re the product even if you are the customer.

EFF to San Francisco Police: Drones are Powerful Surveillance Tools That Require a Robust Policy

28 September 2026 at 22:30

The San Francisco Police Department (SFPD) began regularly deploying drones two years ago and has since expanded their use in a way that has outpaced its documented policy and evaded existing local and state oversight of these devices. 

The department has a new proposed policy, which continues to be grossly inadequate in protecting privacy and civil liberties. At best, the draft policy continues the SFPD’s pattern of putting vague guardrails on a powerful surveillance tool, but at worst, if implemented, the policy could effectively usher in sweeping, non-targeted, and unspecified general surveillance over the city with few guardrails.

EFF has repeatedly opposed the unaccountable development of the SFPD’s drone program and recently sent a comment to the Police Commission, the local civilian oversight body, about the SFPD’s new proposed policy. 

The SFPD has been sidestepping oversight of its drones since 2024. In March 2024, San Francisco voters approved a heavily-funded, billionaire-backed measure, Proposition E, which sought to expand police access to surveillance technology. Among its impacts, Prop E removed drones from oversight required by the 2019 Surveillance Technology Ordinance. Nonetheless, in its haste to purchase drones after Prop E passed, the SFPD knowingly violated California’s AB 481, a state statute requiring law enforcement agencies to get approval from their local elected governing body before purchasing military equipment, including drones. Eventually the SFPD sought retroactive approval from the Board of Supervisors and, soon after, announced that it would be launching a drone-as-first-responder (DFR) program.

Now, San Francisco finally has an opportunity to update the SFPD’s guidance in a way that won’t quickly become stale, as has happened while the SFPD steadily increases the purposes for drone use. Though drones were initially identified as tools to use for specific actions such as vehicle pursuits and active criminal investigations, within a year, the SFPD expanded use cases to include patrol, i.e. unrelated to a specific incident. Along with this mission creep, the SFPD has also steadily and exponentially increased the number of drone flights, from roughly 350 deployments in 2024, to over 1,100 from January to August 2025, to over 3,500 in just the first five months of 2026.

The original draft of an updated policy brought by the SFPD to the local Police Commission, a civilian oversight body, earlier this month provided limited details and proposed allowing police to treat drone flights as an extension of their patrol abilities, paving the way for general surveillance, including of First Amendment-protected activity. The proposal received significant community pushback, and the San Francisco Public Defender’s Office authored a letter describing the policy’s shortcomings. That letter was signed by over a dozen local, state, and national groups, including EFF. 

Based on these concerns, the Police Commission deferred taking action until the SFPD addressed them. The SFPD then revised its proposed policy, but this, too, falls short of providing practical guidance to officers and protecting civil liberties, as the Public Defender’s Office identified in a follow-up letter signed by over 40 organizations, including EFF.

EFF’s additional comment to the Police Commission, in part, calls out the incredible gap in oversight of these ballooning drone flights and the immense data collection they facilitate:

The revised policy states that “[unmanned aerial vehicles] may be used as an asset in any situation in which a member may be deployed for a public safety response or when a member onviews criminal activity” but fails to define what is meant by a “public safety response.” The revised policy also provides a definition of “Drone as First Responders,” but it fails to provide any more detail about appropriate DFR deployment. Without appropriate safeguards around deployment and use, drones could be deployed to every call for service, even in situations that are ultimately deemed nonincidents, collecting data along the way that is then stored for 30 days. This type of general patrol could effectively become general surveillance, which SFPD acknowledges is an inappropriate use of their drones and yet is still possible under the vague terms of the current DGO. 

The Police Commission is set to consider the matter on October 14. You can read EFF’s full comment here.

Flock cameras are tracking people as well as cars

17 September 2026 at 20:46

Flock Safety’s cameras are automated license plate readers (ALPRs) designed to help police find stolen cars or wanted suspects.

A joint investigation by 404 Media and WIRED, based on data recovered from a physically removed Flock camera, found that its on-device software explicitly detects people as well as vehicles, bicycles, and license plates.

Separately, Washington DC’s police union says the Metropolitan Police Department used Flock data to track officers under Internal Affairs investigation without their knowledge.

Together, these reports illustrate a privacy problem: A network built to record the movements of vehicles can readily be used to follow almost anyone.

The latest reporting adds an important technical detail to that debate.

What Flock cameras collect

A group of hackers reportedly removed a Flock camera from a roadway, copied its storage, and recovered an encryption key stored on the device. That allowed them to unlock videos of thousands of vehicle detections despite Flock’s claim that its devices are protected by on-device encryption. Flock said it could not assess the claims without more detail.

The recovered camera files reportedly contained software models that detect people, even though public discussion of Flock has usually focused on cars and license plates. The researchers found no evidence that face-recognition features were actively used. Reassuring, but it should not be mistaken for a clean privacy bill of health.

Even without facial recognition, a system that records repeated sightings can potentially reveal sensitive patterns of movement, including where someone lives, works, worships, seeks healthcare, attends protests, visits family, or spends time with other people. When a person is matched to a vehicle, vehicle-based tracking can become person-based tracking in practice.

As an example of how widely the data can be shared, WIRED found that records from the city of Alpharetta, Georgia:

“were accessible to more than 2,000 agencies, including police departments, colleges, airports, and, inexplicably, the Office of Inspector General for the federal General Services Administration.”

Targeted tracking of people

The Washington DC dispute shows what happens when the power to follow people is turned inward.

The DC Police Union says it learned in July that MPD’s Internal Affairs investigators had used Flock license-plate-reader data to track sworn officers under investigation without their knowledge. The union filed a complaint and asked the department to stop, arguing that MPD lacked adequate controls for a system with such extensive surveillance capabilities.

MPD defended the use, saying its position is that the use of license-plate-reader data in the misconduct investigation was appropriate. It said the labor dispute is headed to arbitration.

If police officers themselves are concerned that the system can be used to monitor them without transparent rules, the public should ask an obvious follow-up question: What prevents the same tools from being used to follow residents, employees, journalists, activists, former partners, or other people with no meaningful ability to challenge the search?

Even when Flock wants privacy to meet surveillance halfway, its measures do not eliminate the underlying civil-liberties issue.

The recovered camera software and the DC dispute make the same point from different directions. Flock’s network is not merely a collection of roadside plate readers. It is a distributed system for recording movement, identifying patterns, and making those records available for search.

Meaningful safeguards should include:

  • Public approval before cameras are deployed, with clear maps showing their locations and stated purposes.
  • Strict limits on collection, retention, searches, and cross-jurisdictional sharing.
  • A requirement for documented investigative justification before a search, with elevated approval for sensitive investigations.
  • Independently reviewable audit logs, regular public transparency reports, and meaningful penalties for misuse.
  • Clear bans on searches related to protected activity, immigration enforcement where local law forbids cooperation, abortion-related investigations, political surveillance, and personal purposes.
  • Independent security assessments covering the cameras, cloud services, identity controls, key management, and third-party integrations.
  • Automatic deletion that cannot be overridden merely because data could someday be useful.

Privacy cannot depend on authorized users always following rules, vendors configuring every setting correctly, or abuses being discovered the hard way. The first safeguard should be limiting the system’s ability to build a searchable record of ordinary people’s lives at all.


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EFF Statement on Meta Settlement

26 August 2026 at 18:34

Under this settlement, young users will now have less access to Meta products, and a lesser ability to exercise their rights to speak, access information and art and culture, associate and form communities, and play. The settlement also embeds age assurance into every product, mandating the collection of even more personal information from users of all ages; this enshrines Meta's harmful surveillance into law, and it will compromise users' privacy and anonymity while increasing their exposure to data breaches and government data requests. And the data minimization and security measures don’t keep states from using data collected under the agreement for other law enforcement purposes – which could include things like criminal investigations of abortions or gender-affirming care. 

EFF and Civil Society Groups Call on Nottinghamshire Police to Halt Live Face Recognition

21 August 2026 at 18:03

This week, EFF, along with Big Brother Watch, Defend Digital Me, Liberty, Open Rights Group, Race Equality First, Statewatch, and Stopwatch, wrote to Nottinghamshire Police Force in the UK raising concern about the proposed roll-out of live facial recognition technology (LFR), and called for its immediate halt.

In particular, the letter highlights six concerns:

LFR Is Not "Just Another Tool"

Nottinghamshire Police has stated that “facial recognition is just another tool to fight crime.” But LFR used in public spaces is an incredibly intrusive biometric mass surveillance technology that scans the faces of everyone who walks past the camera and takes biometric face prints. This is not just another tool, but a major escalation of surveillance that treats everyone as a suspect by default.

People Having "Nothing to Worry About" Does Not Hold to Scrutiny 

According to Nottinghamshire Police, “if you aren’t entering the city or county to commit crime then you have nothing to worry about.” However, many people have legitimate concerns about the normalisation of invasive technologies. So a public that cannot move around their towns and cities without being subjected to a biometric identity check may be less willing to seek medical care or legal advice, speak with journalists, act in a union, vote, protest, or express their gender, sexual or religious identity. 

Disproportionate Targeting With LFR

We are particularly concerned to learn that Nottinghamshire Police could deploy LFR to tackle low level crimes, such as youth behavior deemed anti-social, as part of Operation View. Reporting suggests that the force already possesses “a watchlist of young people believed to be causing the most problems,” including children as young as 11 years old. It would be highly disproportionate to deploy live facial recognition to tackle this behaviour. Many of these children are reportedly known to the police, and it is highly likely that there are more proportionate means for locating them. 

LFR Could Increase Social Problems

We are also concerned that Nottinghamshire Police has not adequately examined the distinct risks of using LFR to target children, including negative impacts on their behaviour and outcomes, risk of recidivism, and relationship with the police. Use of LFR could exacerbate behavioural problems in children and create an adversarial, rather than trusting, relationship with the police from a young age. 

Lack of Public Support 

Recent polling commissioned by Liberty indicated that 48% of people oppose scanning the faces of those walking on high streets when there is no suspected imminent threat. Furthermore, Opinium found that the majority of people oppose the use of facial recognition in schools. Likewise, a report by the London Policing Ethics Panel found that Londoners aged 16-24 were most likely to find the Metropolitan Police Service’s use of LFR unacceptable and most likely to stay away from events where LFR was in use.

On these grounds, Nottinghamshire Police must immediately halt their plans to use live facial recognition surveillance any further.

Read our full letter here. 

Armored Likho expands its cyber-espionage toolkit

13 August 2026 at 10:00

In May 2026, we discovered a new cyber-espionage campaign by the Armored Likho group, also known as Eagle Werewolf, that targets private individuals and organizations across various industries in Russia, including major corporations, the public sector, IT, and education. The attackers used a fake app as bait that mimics a service for donations. However, the most interesting part of this campaign isn’t the initial infection method – it’s the malicious implants the attackers use for cyber-espionage.

We’ve written previously about recent Armored Likho attacks, but our analysis shows that the campaign discussed below has more in common with the group’s activity from February. That said, the attackers have significantly expanded their arsenal.

During our research, we found a new cyber-espionage toolkit written in Rust: the Still Toolkit. One of its components, Still Sync, steals Telegram session data to gain ongoing access to the victim’s account. With this stolen data, attackers can leverage the Telegram API to automatically pull chat logs, media files, and other information from the account.

The second component, Still Audio, is an implant for covert audio surveillance. It analyzes the incoming audio stream, automatically detects speech, records conversations, and sends the recordings to a command-and-control server.

In this article, we’ll look at the initial infection method, how the new Still Toolkit components are built, and the technical details of how they operate.

Kaspersky products detect this threat as Trojan.Win64.Agent.* and HEUR:Backdoor.Win32.Generic.

Background

Armored Likho’s malicious activity has been documented several times before: in November 2024, and in February and July 2026. The current campaign shows significant overlap with the November and February campaigns, which used malicious droppers disguised as documents and applications related to Starlink activation or fundraising efforts as the initial infection vector. This campaign also uses fundraising as its lure. At the same time, our research uncovered a number of new tools that point to the attackers expanding their capabilities.

Initial infection

The infection chain starts with an app that mimics a donation service. As of this writing, the app distribution method remains unknown. During our research, however, we obtained several samples posing as apps from different Russian foundations.

In reality, the app is a dropper. Its developers wrote it in Rust on top of the popular Tauri framework, and it has a graphical interface designed to deceive the user. After launch, it displays a login form that asks for a password, presumably one the attackers supplied.

The login form

The login form

After the user enters a valid password, they see a catalog of donatable items. The app pulls item and category information from orderapiserver[.]info through the public/categories and public/products endpoints. A clickable catalog makes the app look legitimate. While the user browses the items, the dropper quietly decrypts and launches the payload for the next stage in the background.

Our analysis shows that the mechanism for decrypting the payload and launching subsequent stages hasn’t changed since the February campaign. However, we found a new cyber-espionage toolkit – the Still Toolkit – made up of two components: Still Sync and Still Audio.

Still Sync

Still Sync is a stealer written in Rust that steals Telegram session data. However, its capabilities don’t stop there. With this stolen data, Sync can log in to the victim’s account and pull messages and media files through the Telegram API.

Architecturally, Sync is an asynchronous application based on the Tokio library. It talks to the server over gRPC and serializes messages with FlatBuffers. It supports both HTTP and HTTPS as transport protocols; the URL of the command-and-control server determines which one it uses.

How it works

When Sync launches, the attackers set several environment variables. Before starting any malicious activity, the implant pulls configuration parameters from these:

  • STILL_SYNC_ADDR: the address of the command-and-control server. By default, this is https://tg4service[.]com:443.
  • STILL_SEND_PATH: the path to the tdata
  • STILL_TELEGRAM_PASSCODE: the password for decrypting the tdata folder, if Telegram data encryption is enabled on the victim’s device.

Sync also supports several command-line arguments:

  • --console: runs as a console application. If this parameter is absent, the implant creates a TReload service to keep running in the background.
  • --version: prints version information and exits.
  • --firefly: launches a trace thread that monitors the program’s operation. It writes error messages to a hidden file, bin, located in the same folder as the main executable.
  • --db: turns on debug mode with detailed logging.
Example Still Sync logs

Example Still Sync logs

Once it launches, the malware begins registering the device with the C2 server. To do this, Sync collects the following information about the victim’s system:

  • Motherboard serial number
  • CPU ID
  • System UUID
  • BIOS serial number
  • Computer domain name

The malware combines the collected data into a single string with a colon as the separator. It then hashes that string with SHA-256 and stores the resulting hash under the key sysmarker. Worth noting: other Armored Likho tools, AquilaRAT included, use this same hashing algorithm.

Sync then serializes a package containing all the collected information and the agent version, and sends it in a POST request to /still.rpc.Sync/RegisterMachine. The response contains a machine_id value, which Sync uses to identify itself in subsequent requests.

Once registration succeeds, Sync sends a POST request with the machine_id parameter to /still.rpc.Sync/GetMachineSettings. The server responds with the following settings:

  • enabled: triggers malicious activity on the infected device.
  • scan_portable: turns on extended scanning when searching for the tdata We’ll cover this feature in more detail below.
  • fetch_telegram: if this parameter is on, Sync attempts to log in to Telegram and extract data. We’ll cover this feature in more detail below.
  • download_channels: if this parameter is off, Sync skips channel dialogs when exfiltrating Telegram data.

These parameters have no default values, so Sync doesn’t perform any malicious actions until the registration and settings-retrieval processes both complete successfully.

Telegram data collection

Before stealing a Telegram session, Sync searches for the tdata folder, unless the STILL_SEND_PATH variable is already set. The list of search paths includes both standard and nonstandard directories, if the scan_portable option is turned on:

  • C:\Users\<username>\AppData\Roaming\Telegram Desktop\: the standard Telegram Desktop installation directory.
  • C:\Users\<username>\AppData\Local\Packages\<package_folder>\LocalCache\Roaming\: the installation directory for the Microsoft Store version. Sync identifies the package folder by a name that contains the string TelegramMessenge.
  • C:\: used for the extended search (if the scan_portable option is on).

Sync then sends a POST request with a list of files from the tdata folder to the /still.rpc.Sync/CheckFiles endpoint. The server responds with the following values:

  • snapshot_id: an identifier the server assigns to the current data snapshot.
  • present: a list of file paths that are already present on the server.

This lets the C2 server avoid re-receiving files it already has. In addition, if Sync can’t access files on disk through standard methods, it falls back on three mechanisms that abuse the SeBackupPrivilege privilege:

  • Opening files with the CreateFileW function using the FILE_FLAG_BACKUP_SEMANTICS parameter
  • Creating a backup copy through the Shadow Copy service and reading files from there
  • If the previous methods all fail, attempting to copy the file using the Robocopy utility in backup mode

Beyond stealing Telegram session data, Sync can carry out full-scale collection of user information from the messaging app. When the fetch_telegram option is on, it launches a separate thread that authenticates to the chat app using the previously obtained tdata. Once authentication succeeds, Sync gains access to the account data and sends the following collected information to the server:

  • User details, such as username, phone number, first and last name
  • Information about private chats, groups, or channels, such as chat name and ID, the member list, and so on
  • Dialogs from private chats, groups, and channels (if the download_channels option is on)
  • Media files under 250MB: photos, documents, stickers, and contacts

Still Audio

Still Audio is an audio surveillance implant written in Rust. Its main job is to analyze the incoming audio stream and start recording voice when certain conditions are met – we’ll cover those in the next section. Architecturally, Still Audio largely mirrors Sync and uses the same mechanisms for communicating with the C2 server.

On launch, Still Audio performs a sequence of actions:

  • It extracts libmp3lame.dll, a file stored inside the executable. This is a library used to encode audio data.
  • If the --console command-line argument is absent, the implant creates a service named auxhost, connects to it, and continues running in the background.
  • While running in the background, it creates a file, logfile.log, to write logs to.

Next, Still Audio retrieves the C2 server address. As with Sync, it stores the URL in an environment variable – in this case, STILL_AUDIO_SYNC_ADDR. If that variable isn’t set, it falls back to STILL_SYNC_ADDR, which shows the two modules are compatible with each other. If neither variable is set, it uses the default URL, https://srwinservice[.]com.

Still Audio also uses the Dead Drop Resolver technique as a fallback mechanism for obtaining the C2 address. If the current server stays unreachable for three days, the tool tries to pull the current C2 URL from a GitHub repository. In the sample under analysis, we found the following URL for the page containing C2 information: hxxps://raw.githubusercontent[.]com/mmarln/pi-mono/refs/heads/main/packages/pods/src/array12.json

Encrypted C2 address inside the GitHub repository

Encrypted C2 address inside the GitHub repository

The repository, a fork of a popular project, contains the server URL Base64-encoded and encrypted with the Blowfish algorithm in ECB mode, using the key 5c8e153228edd3c6cbf75684 (lowercase string). Older AquilaRAT samples use this exact same algorithm and key.

Once it obtains the current C2 address, the Audio module starts a registration process similar to Sync’s, but through a different endpoint:

/still.rpc.Audio/RegisterAudioMachine. Also, unlike Sync, Audio sends a list of available audio input devices along with the system information.

The server responds with settings for the implant:

  • machine_id: a unique identifier for the current device.
  • vad_threshold: the threshold value for the VAD (Voice Activity Detection) algorithm. Expressed as a decimal fraction, it represents a proportion of the maximum sound level the input device can pick up. Sound above this threshold counts as voice activity. The default vad_threshold is 02.
  • max_silence_duration: the number of audio samples with a VAD value below the set threshold after which the implant considers the recording finished.
  • max_buffer_size: the maximum buffer size for recorded audio data.
  • active_device: the name of the input device selected for recording, from the list of available devices.

The eavesdropping process

Still Audio works with raw audio samples it captures directly from the input device. To detect voice activity, it implements an algorithm based on Root Mean Square (RMS), a lightweight signal-processing method that distinguishes speech from silence by measuring the audio signal’s average power over time. The implant doesn’t rely on any third-party libraries here; it implements all the calculations itself.

The implant compares the calculated RMS value against the vad_threshold parameter. If RMS meets or exceeds this threshold, recording starts. To avoid losing the beginning of the recording, Still Audio uses a pre-buffer, a size-limited buffer that stores samples from just before the current recording moment. A sequence of max_silence_duration samples (320 by default) with RMS values below the threshold signals the end of the recording. For example, with a standard headset running at a 44.1kHz sampling rate, recording stops after roughly 7ms of silence.

Interestingly, the Audio module makes no attempt to hide its use of the microphone: its name shows up in Windows settings. In the sample we examined, the file was saved to disk as IntAudio.exe, and it appeared in the list of apps using the microphone as “Intel Audio”:

The malicious module in the list of apps using the microphone

The malicious module in the list of apps using the microphone

Before sending recordings to the server, the implant uses the libmp3lame library to encode the raw audio samples. It sends the recording files via a POST request to /tgfrg, adding a Client-Id header containing the machine_id obtained during registration to identify the device.

Infrastructure

This campaign draws on a broad set of hosting providers and domains registered at different points in time, which suggests the attackers are trying to make their infrastructure harder to detect. We found no direct overlap in domains or IP addresses with the February campaign. Even so, the two infrastructures share some similarities:

  • They use the same hosting providers, with the ASNs 149440, 202448, and 215311.
  • Their domain names follow similar naming patterns that mimic Windows system services and update mechanisms.
Domain IP address Registration date ASN
orderapiserver[.]info 187.127.153[.]38 April 18, 2026 47583
tg4service[.]com 159.198.37[.]74 October 4, 2025 22612
srwinservice[.]com 213.252.244[.]123 March 19, 2026 61272
screenserv[.]com 23.26.237[.]250 February 13, 2026 149440
windowserv[.]net 23.27.24[.]30 February 10, 2026 149440
managementapiservice[.]com 188.212.124[.]178 May 1, 2026 202448
service8date[.]com 145.223.69[.]143 January 13, 2026 215311
updateservs[.]com 145.223.68[.]66 December 23, 2025 215311

Victims

In this campaign, we’ve determined that the attackers’ primary targets are users in Russia. Most victims are private individuals, though the corporate sector, government organizations, IT companies, and educational institutions are also affected.

Attribution

This campaign has been using both new tools and malware families documented in BI.ZONE’s February report. While some components turned up for the first time, they show significant code-level overlap with malicious tools seen in earlier Armored Likho campaigns. Based on these overlaps, along with additional technical artifacts, we’re highly confident the Armored Likho group is behind the campaign. The overlaps we identified include:

  • Identical dropper architecture in the February and current campaigns, which includes the use of the Tauri library to build the graphical interface, a similar user-input handler, a payload with the ICRYPTMP header, and the same multi-part encryption format.
  • The same encryption algorithm and key used in AquilaRAT from the previous campaign and in the Still Audio module from the current campaign, both implementing the Dead Drop Resolver technique.
  • Identical logic for generating the sysmarker value in older AquilaRAT samples and in the Still toolkit from the current campaign. The algorithms match down to the PowerShell commands used to collect system information.
  • Substantial infrastructure overlap, which includes the hosting providers and domain-naming patterns described in the Infrastructure section.

Takeaways

The campaign described in this post shows Armored Likho’s toolkit evolving, with the group steadily expanding its cyber-espionage capabilities. Beyond the components we already knew about, the attackers rolled out new modules that let them not only access Telegram data but also conduct audio surveillance on victims. Together, these capabilities significantly widen the range of information attackers can collect in a single compromise.

One point deserves particular attention: the new tools form a cohesive set, sharing similar architecture, C2 communication mechanisms, and common implementation elements. This points to the group building out its own tool ecosystem, designed for long-term use and further expansion.

The emergence of new, specialized modules shows the attackers aren’t just trying to preserve their existing capabilities – they’re working to make intelligence-gathering more effective by controlling multiple communication channels at once.

Indicators of compromise

Additional information about this threat, indicators of compromise included, is available to customers of Kaspersky Threat Intelligence Reporting. Contact intelreports@kaspersky.com for more details.

File hashes
Droppers
C1D1EE16B92E6A138FFA048855F75D7D
17674B250D8B422A50A86C9FF207186D
62801F6223E860A7CCA271522E303B2D

Still Sync
68F0365D2FA8C828D012D8859E52A773
4BD7C352AE277B0E38D07BEEDD4DD507
D4BC09FB10EA2A5DC0BCBEEDA5E5AFDD

Still Audio
2CA8ADBAB98EBE305EACF272CF48F5A0
3AC41B097236A7723821848AE31EF141
439255736797BC88BD19F282449E0436

Domains
orderapiserver[.]info
tg4service[.]com
srwinservice[.]com
screenserv[.]com
windowserv[.]net
managementapiservice[.]com
service8date[.]com
updateservs[.]com

Wireless Routers as Motion Detectors

2 September 2026 at 12:22

Comcast has added motion detection as a feature to its wireless routers:

The feature sends push notifications to users when motion is detected near a connected device, such as a TV or printer. It has different settings for when people are home, asleep, or away. The Xfinity app also lets users see live motion activity and a feed of recent activity.

Comcast acknowledges that the system has some limitations. Home size, layout, building materials, and the placement of the router and connected devices can all affect its ability to detect motion. Comcast says it does not guarantee its performance.

Sounds like a great surveillance tool. And also:

But the biggest privacy concern comes directly from Comcast’s own support page, which says information generated by WiFi Motion may be shared with third parties.

“Comcast may disclose information generated by your WiFi Motion to third parties without further notice to you in connection with any law enforcement investigation or proceeding, any dispute to which Comcast is a party, or pursuant to a court order or subpoena,” the page reads.

Facial Recognition at Madison Square Garden

31 July 2026 at 13:08

Last month, the story broke (alternate link) that Madison Square Garden uses facial recognition software on everyone entering the facility, and—among other groups—flags activists that oppose using facial recognition.

Turns out that the system was shut off for Taylor Swift’s wedding.

Evan Greer—one of the people that MSG alerts on—comments:

Ironically, Swift herself has reportedly used facial recognition at her own concerts to identify stalkers. This “privacy for me, surveillance for thee” attitude feels like a perfect encapsulation of the future we’re already living in: one where wealthy elites can afford privacy, while the rest of us are forced to live in a corporate surveillance panopticon.

Whatever privacy measures Swift had in place for the wedding seems to have worked. No photos have leaked online.

Axon Is Another License Plate Surveillance Company

28 July 2026 at 13:06

Governments are switching, but I’m not sure it makes a difference:

…some municipalities, including Denver, Colorado, are ditching their Flock arrays. But keep in mind that if they’re only switching from Flock to another brand of license-plate readers, like Axon, it’s like a gambling addict trying to kick the habit by switching from FanDuel to DraftKings.

[…]

Despite what you may read on the Flock website, Axon cameras are pretty effective when it comes to hoovering up personal details that can go far beyond your license plate numbers. That means a municipality that opts for Axon cameras instead of Flock units won’t necessarily reduce the amount privacy its citizens lose through their use.

Cognyte Sells a Mobile Cell Surveillance Van

27 July 2026 at 13:04

Yet another Israeli mass surveillance company:

Made by Israeli surveillance company Cognyte, the tech simulates a mobile phone tower, which forces nearby phones to connect to it. That enables cops to keep tabs on any phones in the vicinity ­ whether they’re owned by a suspect in a case or not. Cognyte’s contract with the state of Texas reveals that the simulator, called FalcoNet, can be concealed within the vehicles, hidden in a backpack for on-foot missions or attached to a helicopter. It’s the same technology as the infamous Stingray, one of the original cell-site simulators made by defense giant L3Harris.

Hundreds of Drone-as-First-Responder Programs Could Soon Be Launched Across the Country

24 July 2026 at 00:00

Police departments across the country are lining up to launch drone-as-first-responder (DFR) programs, and hundreds have cleared a necessary hurdle toward making deployment a reality, expanding aerial surveillance and data collection even in areas patrol officers typically can't reach.

As of February 2026, over 1,000 public safety agencies—including police, fire, and other emergency management agencies—had received Federal Aviation Administration (FAA) waivers needed to automate drone operations and launch a DFR program, according to a recent Freedom of Information Act (FOIA) release listing agencies that have obtained Part 91 waivers since the FAA streamlined and sped up the process in April 2025.

The changes led to a massive increase in the number of waivers issued. Only 976 DFR waivers had been granted since the first DFR program launched in 2018 through April 2025, according to an FAA representative. The agency issued more waivers between April 2025 and February 2026 than it had in the previous seven years combined.

A map illustrating the locations of police departments and other public safety agencies that have received Part 91 waivers, making it possible for them to launch drone-as-first-responder programs. (This map image links to Google Maps, which is governed by Google's privacy policy)

The new FAA process for waivers and the rush of police departments to obtain them signifies a shift in law enforcement's use of drones: from human-operated aerial surveillance to AI-based autonomous drone use. 

Typically, a drone operator is only permitted to fly in areas that can still be seen by the pilot, and that drone pilot needs to be certified under FAA Part 107. To fly drones “Beyond Visual Line of Sight” (BVLOS) requires additional approval from the FAA, as do flights above 200 feet, due to the risk of colliding with planes and other aircrafts. Without such approval, an officer could not pilot a drone from a desk inside a building and fly it to a call across the city because they could not possibly have line of sight on the drone. 

FAA rules for police drones also required a human operator to manually fly the device to a scene, but DFR technology has become a more common and more automated police technology. DFR programs increasingly rely on artificial intelligence to automate drone flights from launchpads placed around the city, often atop municipal buildings, and make it possible for one drone operator to “fly” multiple devices at once. Though not every police department that has received BVLOS has launched a DFR program yet, by going through this process, every department on this list has signified it has strong enough interest to clear the necessary regulatory hurdles.

Police departments and the companies that sell DFR equipment claim that these drones make it easier for officers to establish “situational awareness” of a scene before they arrive. Early drone adoption centered on similar claims, particularly related to high-risk situations like vehicular accidents or incidents involving an armed suspect. However, these kinds of situations may make up only a small portion of deployments, which often occur in response to low-risk calls for service related to unhoused people, mental health concerns, and loud music, as a Government Technology analysis of the system in Chula Vista, California, found. 

DFR programs have become important sources of revenue for companies like Flock Safety and Axon, the latter of which reported that its DFR platform has become one of the company’s fastest growing sectors. Axon is also known for products like the TASER and the Fusus camera system that lets police integrate viewing of public and private cameras. 

Footage from drone flights is streamed back to a police office, and it can be stored, shared, and analyzed like other video. Turning drone footage into fodder for automated license plate reader (ALPR) networks, for example, requires very little additional software, and Flock Safety was quietly able to turn its drones into “flying ALPRs” last year. 

The normalization of police DFR programs jeopardizes privacy in communities across the country. As flying cameras, drones can capture footage from areas typically inaccessible to a casual patrol officer—backyards, roofs, through windows—at distances that leave subjects of surveillance completely unaware of the spy in the sky. A recent leak of drone footage from the San Francisco Police Department illustrated the ease with which surreptitious drone flights could observe innocent individuals for minutes without them realizing it. EFF's Atlas of Surveillance contains a list of police departments with drones, including those with DFR programs.

While daytime DFR use grows, police departments are exploring other ways to expand overhead surveillance. In October 2024, the Campbell Police Department in California announced it had received the first FAA approval for BVLOS operations at night, claiming it was the “first to incorporate radar technology with electro-optical sensors to enhance airspace monitoring, enabling a single remote pilot to safely deploy drones both day and night.”  

As communities consider drone use, it’s crucial that they have a say in whether the program is acquired at all, not just how it's run once purchased. Throughout the process, police should be transparent with the community and comply with local regulations about its adoption.

Many cities provide portals that log the flight paths and reasons for each drone flight, often in real time, an important transparency practice. In California, under AB 481, police departments are required to provide advance notice of intent to acquire drones, establish policies before they’re procured, and provide annual updates on their uses—giving communities and city councils the opportunity, before any contract is signed, to weigh in or object to the acquisition itself. 

For police departments and communities considering drone use, clear policies on appropriate use, transparency around deployment, and regular re-evaluation—including the choice to discontinue a program that isn't working—are all vital for protecting people’s privacy and security. 

An Explosion of Surveillance Towers is Coming to U.S. Borders, Costing Over $1 Billion

20 July 2026 at 21:25

A new report from the Government Accounting Office reveals that the Department of Homeland Security (DHS) plans to nearly triple the number of surveillance towers along U.S. borders, from the current 830 to 2,300 by 2034.

DHS expects to expend $1 billion in taxpayer dollars for this dangerous expansion of a surveillance network indiscriminately trained on towns, school playgrounds, backyards, and vehicles—threatening the privacy and civil liberties of everyone in the border regions.

The towers are planned as part of DHS component Customs and Border Protection’s (CBP) Integrated Surveillance Tower (IST) program, which captures images of people and vehicles. The IST program operates autonomous surveillance towers, consisting of autonomous surveillance towers, consisting of AI-based systems using radar, thermal infrared and optical systems to track targets over long distances; integrated fixed towers, optimized for surveilling foot traffic and vehicles; and remote video surveillance systems, which can often be found very close to the border fence in Arizona, including residential neighborhoods where cameras are capable of spying on homes on both sides of the border. (For a description and photos of these technologies, see EFF’s updated guide to surveillance at the U.S.-Mexico Border.)

DHS expects to purchase more long-range autonomous towers and to upgrade existing towers with autonomous capabilities. The $1 billion comes from the so-called One Big Beautiful Act—a massive tax and spending law that President Trump signed in 2025, the report says.

The explosive expansion of border surveillance is a digital dumpster fire for human rights and civil liberties. It’s not just surveillance towers; drones, aerostats, surveillance vehicles, ground sensors, game cameras, and license plate readers are also part of the vast taxpayer-funded infrastructure that threatens all those who live, work, or seek refuge in the borderlands. This technology isn’t exclusive to U.S. federal agencies: it’s also deployed by state and local law enforcement, and even by governments on the Mexican side.

Since 2022, EFF has studied and mapped surveillance technology along the U.S.-Mexico border using public records research, open-source intelligence, and fact-finding trips, and created a handy interactive map to provide researchers and journalists with the tools they need to analyze the impact of U.S. border security policy. We have also documented the different types of surveillance technology in a zine, "Surveillance Technology at the U.S.-Mexico Border." We updated the publication earlier this year to help people identify the machinery of homeland security by adding more models of surveillance towers, newly deployed military tech, and a gallery of disguised trail cams and automated license plate readers.

EFF’s work includes defending the rights of individuals whose devices have been searched or seized upon entering the country; pushing back on the collection of biometric and social media identifiers; and developing digital security guidance for people crossing borders.

With the web of surveillance tech at the borders about to explode, EFF will continue to investigate and expose it and find ways to fight back with the communities that live in the shadow of this technological threat to human rights.

Victory! Flock Ends Rollout of Audio “Distress Detection” of Human Voices

17 July 2026 at 19:05

Reversing course, Flock Safety—the surveillance technology vendor most known for its extensive network of automated license plate readers—has announced that it will end a pilot for its acoustic gunshot detection devices to identify signs of “human distress.”

...public pressure can sometimes work to influence both companies and lawmakers that control a city’s purse strings to discontinue or divest from harmful products...

In October 2025, EFF warned the public that Flock was rolling out a new feature called “Distress Detection” that would be deployed through their acoustic gunshot detection devices (formerly known as Flock Raven, now called Audio Detection). This feature purported to use high-powered microphones scattered throughout a city to search for sounds of human distress, with original advertisements from the product indicating it would search for “screaming.” (Since the publication of our original blog post, Flock quietly amended the ad on this webpage to say “distress” instead of “screaming.”)

Now, Flock has published a blog post stating that “[a]fter careful consideration and community consultation, we decided to remove the feature.” Good riddance. 

We said it when the product was announced and we’ll say it again: this was a misguided and dangerous feature because of the civil liberties concerns it poses, the possibility it could summon armed police to every loud interaction happening on the street, and because in several places this type of spying would be illegal under state eavesdropping laws. 

We were not quiet about this potential new feature. Flock even mentioned our concern about Distress Detection in an attempt to rebut our opposition to the mass surveillance their products enable.

The suspension of Distress Detection, however, does not mean that these high-powered microphones are now magically safe or beyond our concern. Acoustic gunshot detection is still a dangerous and often highly inaccurate technology that has resulted in real world harm, as in Chicago where it resulted in police shooting at children lighting fireworks. As Flock itself states, “No acoustic system is perfect, and we don't claim otherwise.” But police response to a situation where they believe guns are actively in use seems like a pretty high-stakes situation to be making, selling, and deploying technology known to be imperfect. Flock’s devices also listen for more than just gunshots. Their marketing materials admit to be listening for “community disruption,” which includes “non-violent” threats like car sideshows and fireworks. 

Flock’s failed attempt to roll out Distress Detection teaches us a few important lessons about the current state of police surveillance. First, we should not assume that just because these companies are large and well-funded, that does not ensure that they are complying with local privacy laws before floating new products to customers. Second, companies roll out and police adopt invasive technology under the justification that it will be used to address our society’s very worst crimes. However, both the companies and police will leverage deployed surveillance infrastructure to introduce new uses without necessarily seeking the consent or approval of the public. Gunshot detecting microphones eventually being used to listen for screaming is exactly the type of mission creep that we’ve seen happen with other pieces of surveillance technology, including Flock’s license plate readers. Finally, gun violence is too serious and complex of an issue to purport to solve with one flawed piece of technology. It has become too easy for police and cities to listen to the fancy marketing pitches of tech companies claiming they’re going to solve all crime instead of doing the hard work of addressing the root causes of societal issues. And, in the meantime, that technology creates more problems and hazards for the communities they blanket in police surveillance. 

As we’ve also seen with people across the country pushing back on Flock license plate reader contracts in their communities, public pressure can sometimes work to influence both companies and lawmakers that control a city’s purse strings to discontinue or divest from harmful products. Flock’s decision to end “Distress Detection” for human voices is a win.  

How the Watch Dogs Video Game Series Mirrored and Predicted Real-World Digital Rights Issues

17 July 2026 at 17:01

When Ubisoft's Watch Dogs 2 was released in 2016, it was a headtrip for those of us working on digital-rights issues in the Bay Area. During the day, I'd fight tech-authoritarianism from EFF's San Francisco offices and then, at night, I'd fight tech-authoritarianism in an uncanny simulation of San Francisco from my home gaming console.  

Watch Dogs 2 is an open-world video game that follows a hacktivist collective called Dedsec as they take on surveillance tech and discriminatory AI systems that are being controlled by tech bros, government contractors, and corrupt cops. The game's missions often felt like they were ripped from the pages of EFF's Deeplinks blog.  

EFF’s mission is defending civil liberties in the digital world, and we do that with activists, technologists, and lawyers. If you've ever dreamt of joining Dedsec, you should definitely join us as a member.  

 Join the movement to Take Back CTRL.  

In fact, we've even got the same merch aesthetic. I cosplayed as the lead character, Marcus, at Dragon Con, and no one even knew I was in costume. 

Dave (left) as Marcus takes a selfie with a Wrench cosplayer at Dragon Con 2018.

To commemorate Watch Dog 2's 10th anniversary, I'll be speaking on a panel at San Diego Comic-Con reflecting on how the game predicted tech issues we're facing today. Organized by Mia Ginae of The Mighty Hostess and Black in Gaming, we've got voice actors Ruffin Prentiss lll and Shawn Baichoo, cinematic producer Timmy Fisher, and music producer Hudson Mohawke, who did the soundtrack, with Mia Ginae moderating. That's at 3:15 PM on Friday, July 24 in room 6BCF. 

Watch Dogs 2 panel at San Diego Comic-Con

But not everyone can get to Comic-Con and I certainly have more to say that can fit in. So here are a few ways where Watch Dogs 2 mirrored our work back then and foresaw what we're facing today.

Check out our full San Diego Comic Schedule, including panels and a meet-up. 

Insecure Surveillance Cameras 

One of the signature gameplay elements of the Watch Dogs series is the ability for your character to hack into nearby security cameras from your phone and use that to gain a strategic advantage over hostile adversaries. 

About a year before, that's exactly the issue that we were working on. EFF Technologist Cooper Quintin and I used the service Shodan to identify a slew of automated license plate readers (ALPRs) that Louisiana police had left unprotected on the internet. We found that the controls were open to anyone to manipulate and, just like in the game, you could watch the live video feeds.

Shodan screencap of unprotected ALPR feeds

We didn't use the data to acquire a skill point or collectible outfit. Instead, we forced police agencies to lock down their equipment and then used what we learned to persuade then Gov. Bobby Jindal to veto a bill that would have created a new statewide surveillance dragnet.  

This issue still persists today. Most recently, security researchers Benn Jordan and Jon “GainSec” Gaines, and the award-winning journalists at 404 Media, uncovered how at least 60 pan-tilt-zoom cameras from the vendor Flock Safety were left exposed online.

Cell-Site Simulators 

In Watch Dogs 2 there's a mission called "Stolen Signals," in which Marcus and his best friend Wrench are trying to locate "stingrays," police devices that gather nearby cell-phone data by masquerading as legit cellular towers. We call these "cell-site simulators" (CSSs) and they're are an extremely alarming mass surveillance technology that allows police to track individual users through their phone identifiers. We've long advocated that this should require a search warrant.   

Like Dedsec, we also had initiated a project to do the exact same thing. And in true Dedsec fashion, we also gave it a pop-culture name: Crocodile Hunter, an homage to wildlife expert Steve Irwin, who had famously died after a stingray attack.  

But while Marcus was running around Telegraph Hill, staff technologist Cooper Quintin and I were running around downtown San Francisco, testing out our own device for detecting suspicious cell phone towers during Salesforce's annual Dreamforce conference. And while we didn't find a CSS that day, we did find a mobile surveillance tower that a start-up had set up for the event.

Cooper Quintin, EFF's own "Wrench," testing out Crocodile Hunter at Dreamforce

Cooper Quintin, EFF's own 'Wrench,' testing out Crocodile Hunter at Dreamforce

Today, that project has evolved into Rayhunter, which allows anyone to use a cheap mobile hotspot to detect the type of cellular anomalies associated with CSSs. We're proud to say that now there's a whole international Dedsec-style network of researchers using this technology to look for surveillance at protests, at the border, and in metropolitan areas.  

Security Robots 

Throughout the game, Marcus encounters a number of autonomous pickle-shaped security robots wandering the city. At one point, Wrench reprograms one to become "Wrench Jr," a bona fide member of the Dedsec team.  

In real life, these robots are made by a company called Knightscope, and EFF started shining light on them in 2020-2021, when they were first being deployed by companies and government agencies.

A Knightscope robot patrols a casino parking lot in Reno, Nevada.

Today, law enforcement is pursuing weaponized robots and drones, and EFF is at the forefront to stop this dystopian reality. In fact, in December 2022, we successfully fought for San Francisco to ban the police department from weaponizing drones. In 2024, New York Police Department also retired its subway robot.

A Citywide Surveillance "Operating System" 

In the Watch Dog series, one of the ominous developments is CTOS 2.0 (Central Operating System 2.0). Through this system, Blume, a government contractor, tries to collect a massive amount of data through citywide sensors and infrastructure, and to combine all that data into one unified—and totally insecure—analytics system.  

At the time we'd only just begun to see this idea floated, with a limited number of cities trying tools like Palantir's Gotham to manage data.  

Today, it is a frighteningly competitive market, particularly when it comes to law enforcement surveillance. For example, both Axon and Flock Safety are trying to offer products that integrate with every function of policing that sound like CTOs. In fact, Flock Safety product is literally titled, "Flock OS."

Fusus demonstrated at a police chief's conference.

Meanwhile, Axon's camera networking product, "Fusus," sounds like it came straight from the Watch Dogs' writers room. Fusus allows for central live-streaming of all types of surveillance cameras in a city, including body-worn cameras, which was another prediction from the Watch Dog series that came true.  

EFF has been part of many local battles to reject Flock and Axon surveillance systems, and we've also advocated against recent efforts at the federal level to consolidate government data.  

Join the Fight Against Authoritarian Tech 

Watch Dogs 2's protagonists aren't just the merry band of core hackers: It's a distributed movement spread across the region and social media. The sequel, Watch Dogs Legion, is even designed so that every single person in the city of London is a potential playable Dedsec member, ready to take on tech tyranny with whatever skills they have.  

That's also our philosophy: If you use tech, if you're affected by tech, this is your fight. And it's time to take back control. 

There are a lot of ways to do this. You can become a member by donating. You can contact public officials through our Action Center. You can join the thousands of volunteers who are helping gather data on surveillance through our Atlas of Surveillance project. You can also hunt cell-site simulators with us—and help improve our code—through the Rayhunter project.  

And just like Watch Dogs 2, this is a game we can win if we work together.

Victory! Supreme Court Says Constitution Protects People’s Location Data

29 June 2026 at 19:25

You have an expectation of privacy in location data that reveals your movements in the physical world, and even short-term surveillance of these movements is a search subject to the Fourth Amendment, the U.S. Supreme Court ruled today in Chatrie v. United States.  

The case involved geofence warrants, a form of dragnet surveillance police have used to vacuum up location data from electronic devices of people who happen to be in the vicinity of a crime. EFF had joined the American Civil Liberties Union, the ACLU of Virginia, and the Center on Privacy & Technology at Georgetown Law in filing an amicus brief in the case. 

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The decision in Chatrie is important: It is the first digital surveillance decision by the Court since its landmark 2018 ruling Carpenter v. United States, which involved prolonged tracking of people’s movements using cell phone location data. The new case expands that ruling by confirming that even shorter-term surveillance of location data can constitute a search because it can still reveal “private matters,” including “a wealth of detail about a person’s familial, political, professional, religious, and sexual associations.”  

The case is also important because the Court also recognized the records generated by the apps on a user’s phone—records we necessarily share with third-party tech company—are a user’s “own” and require Fourth Amendment protection. This is true, regardless of whether those records are “emails, documents, photographs, [ ] calendars” or location data. This will likely have broad implications for data generated by other apps on our phones, even if we click “agree” to sharing that data with third-party tech companies.  

Geofence warrants don’t name a suspect or a specific individual or device the way typical warrants do. Instead, they compel companies—almost always Google—to provide information on every electronic device in a given area during a given time period. This creates a high risk of suspicion falling on innocent people and can reveal sensitive and private information about where individuals have traveled in the past. 

Geofence warrants are the digital equivalent of police going person to person, home to home, without suspicion that any device holder has a connection to a crime. This turns innocent bystanders into suspects, just for being in the wrong place at the wrong time.  

In Chatrie, a 2019 geofence warrant compelled Google to search the accounts of all its hundreds of millions of users to see if any one of them was within a radius police drew around a Northern Virginia crime scene. This area amounted to several football fields in size and encompassed numerous homes, businesses, and a church. 

A federal district court in Virginia in 2022 held that the geofence warrant plainly violated  the Fourth Amendment. If the police want to get information on every device in the area, they must also establish probable cause to search every person in the area, the court said. The judge noted the government lacked particularized probable cause as to every individual within the geofence, which swept up innocent people and covered over 70,000 square meters in a busy area. 

The decision set an important precedent in finding the warrant overbroad and unconstitutional and was later followed by a 2024 federal Fifth Circuit Court of Appeals ruling holding that geofence warrants are “categorically prohibited by the Fourth Amendment.” However, the Chatrie lower court allowed the government to use the evidence it obtained because it relied on the warrant in “good faith.” A much divided en banc panel of the U.S. Court of Appeals for the Fourth Circuit in 2025 affirmed this “good faith” finding in the lower court’s opinion. 

Google in 2023 announced changes to how it stores location data, with the effect of eventually making it impossible for the company to respond to geofence warrants. Since July 2025, mass geofence searches of Google users’ location data have not been possible.  

However, Google is not the only company collecting location data, nor the only way for police to access mass amounts of data on people with no connection to a crime. As we’ve written about extensively, data brokers collect and aggregate location data from many different apps on our phones and provide that data to police. And police can use “cell tower dump” warrants to get access to data on everyone within range of specific cell towers. Suspicionless searches like these drag a net through vast swaths of information in hopes of identifying previously unknown suspects—ensnaring innocent bystanders along the way. 

Chatrie could have wide-ranging implications beyond location data as well. The Supreme Court affirmed that app data is subject to the Fourth Amendment, because users “reasonably view” it as their own and reasonably expect it “to be shielded from the ‘inquisitive eyes’ of the government.” Justice Gorsuch, in an opinion concurring in the judgment, called location data a user’s “personal property,” no different from myriad other “effects” explicitly protected by the text of the Fourth Amendment.  As the Court concluded, “the point of carrying smartphones is to use what is on them,” so the Fourth Amendment has to protect more than just location data generated by the act of carrying the phone itself. 

The Court ultimately did not decide whether the particular warrant at issue in Chatrie was “reasonable” or whether the “good faith” doctrine applied. The case now heads back to the Fourth Circuit Court of Appeals to address these questions.  

But regardless of how the Fourth Circuit rules on remand, this Chatrie opinion will shape how lower courts address police access to location and other data going forward. We look forward to citing Chatrie to press future courts to recognize broad Fourth Amendment protections for user data.

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