A cybersecurity startup dangling millions of dollars to acquire zero-day security vulnerabilities in popular software is run by a pair of far-right conspiracy theorists and convicted felons whose most recent ventures included fake intelligence companies and a now-defunct AI-based lobbying platform they operated under assumed names.

The X/Twitter account IRIS C2 (@C2IRIS) has gained more than 4,000 followers since its creation in January 2025, posting frequently about security vulnerabilities, AI and software exploits. IRIS C2 says it is a company in McLean, Va. that sells offensive cybersecurity capabilities.

“Our business model is this,” reads a pinned post on top of the IRIS C2 account on X. “Attract the very best vulnerability researchers and exploit developers in the world to join our company. This mostly revolves around junior engineers with raw talent/extremely high IQ. We don’t care if they have a college degree/industry experience.”

The website linked in that profile — irisc2[.]com — says the company is hiring for a number of open positions, and a recent post on its LinkedIn page enthuses about an overwhelming number of applications from potential employees. The website claims IRIS C2 is in the business of acquiring “zero-day exploits, individual primitives, partial chains, and full capabilities across all major platforms. Payouts range from $10,000 to $7 million depending on target, reliability, and operational value.”

The government contracting portal g2exchange.com reports that irisc2[.]com is operated by a business based in Virginia called Calvexa Group LLC. The “contact” link on the website for Calvexa Group — calvexagroup[.]com — forwards visitors to irisc2[.]com. G2Exchange shows that while Calvexa Group LLC is registered as a federal contractor, it does not appear to be working on any direct government contracts.

A search on the Arlington, Va. address listed in the incorporation records for Calvexa Group LLC finds the property is occupied by Jack Burkman, the 60-year-old founder and managing partner of the lobbying firm Burkman & Associates. When approached with questions about IRIS C2, Burkman referred further inquiries to his longtime associate, 28-year-old Jacob Wohl.

Burkman and Wohl have a storied history of creating fake intelligence companies and using them to spread false claims about and frame public figures, including fabricated sexual assault claims against then FBI director Robert Mueller, and Pete Buttigieg, then mayor of South Bend, Indiana and a Democratic candidate for the presidency. In 2019, Burkman and Wohl held press conferences falsely alleging extramarital affairs by Sen. Elizabeth Warren (D-Mass.) and then-2020 presidential candidate Kamala Harris.

In the wake of the 2020 presidential election, Wohl and Burkman were prosecuted by multiple U.S. states for making thousands of robocalls to residents of battleground states and disseminating false claims about mail-in ballots. They were indicted in Cleveland on 15 felony counts of orchestrating a robocall scheme aimed at suppressing the black vote in Detroit, and were sentenced in late 2025 to probation after their appeals to dismiss the charges were rejected.

In 2022, Wohl and Burkman both pleaded guilty to a single felony charge of telecommunications fraud in Ohio, and sentenced to a fine, probation, and community service. In March 2023, a judge in a New York civil case ruled that Wohl and Burkman had violated federal and state civil rights laws, and the two agreed to pay a $1 million settlement.

In June 2023, the Federal Communications Commission (FCC) imposed a $5.1 million fine against Wohl and Burkman for their robocall campaigns, at the time the largest fine ever sought by the FCC under the Telephone Consumer Protection Act.

By the age of 17, Wohl had started multiple investment firms, and cultivated the nickname “Wohl of Wall Street” after appearing on Fox News in 2015 to discuss his new hedge funds. In 2017, the Arizona Corporation Commission charged Wohl and his investment funds with 14 counts of securities fraud, and ordered him to pay $35,000 in restitution. In 2019, Wohl pleaded guilty in California to four felony counts of selling unregistered securities and was sentenced to two years of probation.

The market for previously unknown security vulnerabilities has always been populated by a colorful mix of researchers, academics, charlatans, clout-chasers and people actively involved in cybercrime communities. But the market for selling offensive security services to the U.S. government tends to be far more circumspect. Plenty of government contractors recruit vulnerability researchers and pay for the exclusive rights to novel software exploits, yet none of them do so quite as brazenly and openly as IRIS C2.

Indeed, KrebsOnSecurity was unaware of IRIS C2 until last month, when an attendee at a regional cybersecurity conference shared that Wohl and Calvexa Group were pestering people at the conference about selling their vulnerability research.

In an interview with KrebsOnSecurity, Wohl said Mr. Burkman was not involved in the day-to-day operations of IRIS C2. Wohl shared that IRIS C2 originally began as a penetration testing company, but shifted its focus recently to selling phone-hacking services to the government. Several times throughout the interview, Mr. Wohl mentioned working on federal government contracts, but when pressed for specifics said he was not at liberty to speak publicly about them.

Mr. Wohl said he does not have any formal education or training in computer science or information security, and that most of his knowledge on the matter is self-taught.

“I know more about tech than anyone,” Wohl bragged. “My background has always been extremely technical, and I’ve always been deeply into tech. People know me as someone who is able to create spectacularly exquisite capabilities that would make your head spin.”

Wohl said security researchers bring the company unique vulnerability findings “on a regular basis,” but that in many cases those findings are preliminary and not fully fleshed-out.

“Let’s say someone finds a flaw in a media decoder on a phone,” Wohl said. “A lot of times what we receive is an exploit primitive, where the idea is there but the [execution] needs work. You need that exploit to be stable and reliable, and that’s what we do.”

Wohl claims IRIS C2 has approximately 40 employees, although he said none of them are allowed to list their employment on LinkedIn for operational security reasons. In May, the author of the IRIS C2 account on X said that his girlfriend had no idea what he did for a living. But if IRIS C2 has any other employees, they may be similarly unaware of Mr. Wohl’s history of outright fabrications — or even his real name.

In September 2024, Politico reported that Burkman and Wohl were bragging about big companies supposedly buying services from their now-defunct company LobbyMatic, which claimed to use artificial intelligence to assist in political lobbying efforts. However, Politico found the pair were running the company using pseudonyms, with Wohl reportedly adopting the name “Jay Klein” and Burkman using the moniker “Bill Sanders.” Politico reported that two of the former LobbyMatic employees resigned after learning of their true identities, while other employees only learned after they had left the company.

Update, July 9, 9:44 a.m. ET: Several readers pointed our attention to a March 31 publication from journalist Molly White, which reported that Burkman and Wohl were paid a $300,000 retainer by a Canadian cryptocurrency fraudster wanted by the United States and several other countries for allegedly stealing $65 million from the crypto platforms KyberSwap and Indexed Finance. According to that report, the two were hired to pursue a “presidential pardon to avert a miscarriage of justice” on behalf of the accused hacker, who has not yet been convicted.

The Federal Bureau of Investigation (FBI) said today it worked with industry partners to seize hundreds of domains associated with NetNut, a sprawling residential proxy service operated by the publicly-traded Israeli company Alarum Technologies [NASDAQ: ALAR]. The action comes roughly two weeks after KrebsOnSecurity published findings from multiple security firms connecting NetNut to the Popa botnet, a collection of at least two million devices that have been compromised by malicious software with little or no consent from victims.

On June 19, three different security firms issued similar findings: That NetNut is a residential proxy network which populates a botnet called Popa, and distributes software for devices commonly found in homes, such as smart TVs and streaming boxes. NetNut’s software turns those systems into always-on residential proxy nodes that are rented to others, who predominantly use them to relay abusive and intrusive Internet traffic, such as mass content scraping, advertising fraud, and account takeover activity.

Earlier today, NetNut’s homepage was replaced with a seizure notice from the FBI and the Internal Revenue Service Criminal Investigation division. The seizure notice thanked Google, Lumen, Shadowserver and other industry partners for their help in dismantling hundreds of domains tied to the Popa botnet, which experts say has long been synonymous with NetNut’s residential proxy infrastructure.

In a blog post published today, the Google Threat Intelligence Group (GTIG) said NetNut’s proxy network is widely resold and white-labeled by a number of third-party proxy providers, and that its services are heavily sought out by cybercriminals seeking to obfuscate the source of their malicious traffic. The GTIG said that in a single week during June 2026, they observed 316 distinct clusters of threat actors using suspected NetNut exit nodes, including cybercriminal and espionage groups.

“These bad actors can use NetNut to mask their origin IP address when accessing victim environments, accessing their own infrastructure, and conducting password spray attacks,” Google’s GTIG wrote. “Furthermore, when a consumer device becomes an exit node, unauthorized network traffic passes through it. This means bad actors can access other private devices on the same home network, effectively exposing them to Internet threats.”

Google said it disabled Google accounts and services used by NetNut for malware command and control, and that it shared technical intelligence on NetNut’s software development kits (SDKs) and backend infrastructure with platform providers, law enforcement and research firms. The company also disabled apps known to bundle NetNut’s various SDKs.

Omer Weiss, legal counsel for NetNut parent Alarum Technologies, said the company was aware of the FBI seizure and cooperating with investigators.

“Alarum takes this matter seriously and will fully cooperate with law enforcement to ensure any misuse of its infrastructure is thoroughly investigated and those responsible are held to account,” Weiss said in a written statement.

Benjamin Brundage is founder of the proxy tracking service Synthient, one of the companies that published evidence last month linking the Popa botnet to NetNut and Alarum Technologies. Brundage said the domain seizures appear to have disrupted both the Popa botnet and the NetNut proxy network that rides on top of it.

Brundage said NetNut’s apparent demise is likely to be a great disadvantage for the cybercrime community, which was already reeling from legal actions by Google earlier this year that seized infrastructure for NetNut’s biggest competitor — IPIDEA.

“I think this takedown is going to have a big impact, because NetNut gained significant popularity after the IPIDEA takedown,” he said. “Also NetNut has been incredibly common among resellers, and they were on par with IPIDEA in terms of their daily traffic, quality, size, price per gigabyte, all of it.”

The NetNut and Popa botnet takedown may have another added benefit, Brundage said: Lessening the impact of large distributed denial-of-service botnets that have been built on the backs of poorly configured residential proxy services. In January, Synthient revealed how cybercriminals had built the world’s largest DDoS botnet (Kimwolf) by tunneling through IPIDEA proxy connections into the local networks of TV box owners, and infecting other Android-based devices behind the victim’s firewall.

While many of the bigger proxy providers took steps to block this activity, resellers of the major proxy networks have been far slower to respond to the threat, Brundage said.

“In terms of all these TV box devices getting compromised from the proxy network, it will have an impact on the DDoS botnets out there,” he said.

For its part, Google reckons today’s actions have caused “significant degradation to NetNut’s proxy network and its business operations, reducing the available pool of devices for the proxy operator by millions.” But the company warns that proxy networks can rebuild themselves by effectively reselling other proxy services, as IPIDEA has done over the past few months.

“Google has high confidence that many popular residential proxy brands are in fact whitelabeling the NetNut botnet,” the GTIG report concludes. “While we expect this disruption to have a larger ripple effect across the residential proxy ecosystem, observations after the disruption of IPIDEA proved that individual networks can appear resilient. What we have observed is that when faced with the degradation of their own botnet, proxy operators begin buying capacity from their competitors, effectively becoming a reseller. We recognize that creating a lasting disruption in this fluid ecosystem means we must scale our efforts to target the infrastructure of several interconnected providers.”

As KrebsOnSecurity has warned repeatedly, most of the no-name TV streaming boxes for sale on the major e-commerce websites either come pre-installed with residential proxy software, or require the installation of proxy SDKs in order to use the device for its stated purpose (streaming pirated movies, sporting events and TV shows). Google’s advice here is sound: When it comes to TV boxes, stick to name brands from reputable manufacturers, and then be sparing and judicious with any apps you choose to install.

The sketchy TV boxes that are being commandeered by the Popa botnet and other threats all come with or require the user to install unofficial Android operating systems that do not operate within the confines of Google’s Official Play Protect store. Google says consumers can confirm whether or not a device is built with the official Android TV OS and Play Protect certification by following these instructions.

Even people without TV streaming boxes can find their smart TVs enrolled in residential proxy networks, just by installing one of thousands of apps available for download on Samsung and LG smart TVs. In a report released last month, the proxy tracking company Spur found 42 percent of apps available for download via the webOS operating system on LG smart TVs include SDKs that turn one’s television into an always-on residential proxy node. More than a quarter of the apps made for Samsung’s Tizen operating system had similar residential proxy components, Spur found.

Update, 4:24 p.m. ET: Included a statement shared post-publication from an attorney representing NetNut parent Alarum Technologies.

Update, July 8, 2:34 p.m. ET: The website for Alarum Technologies — alarum[.]io — now also features a seizure notice from the FBI. The company’s stock has taken a beating since the FBI action, and is currently trading at $2.62 a share, a roughly 67 percent decline over the past week.

Two men pleaded guilty in the United Kingdom this week to criminal charges stemming from an August 2024 cyberattack that crippled Transport for London, the entity responsible for the public transport network in the Greater London area. The duo were key members of a prolific cybercrime group known as Scattered Spider, and their guilty pleas came on the first day of what was expected to be a six-week trial.

Thalha Jubair, 20, of East London and 18-year-old Owen Flowers of Walsall admitted conspiring to commit unauthorized acts against Transport for London computer systems and causing risk of serious damage to human welfare. According to a report from the BBC, Flowers alone admitted to being part of a conspiracy to hack into U.S. based healthcare providers SSM Health Care Corporation and Sutter Health in September 2024.

Jubair is also wanted by U.S. law enforcement agencies. In September 2025, prosecutors in New Jersey unsealed an indictment alleging Jubair and other Scattered Spider members committed computer fraud, wire fraud, and money laundering in relation to 120 computer network intrusions involving 47 U.S. entities between May 2022 and September 2025, and that the group’s victims paid at least $115 million in ransom payments.

In July 2025, KrebsOnSecurity reported that Flowers and Jubair were arrested in the United Kingdom in connection with Scattered Spider ransom attacks against the retailers Marks & Spencer and Harrods, and the British food retailer Co-op Group. Multiple sources familiar with those investigations said Flowers was the Scattered Spider member who anonymously gave interviews to the media in the days after the group’s September 2023 ransomware attacks disrupted operations at Las Vegas casinos operated by MGM Resorts and Caesars Entertainment.

According to prosecutors, Jubair co-ran a bustling Telegram channel called Star Chat, the home of a SIM-swapping group that used voice- and SMS-based phishing attacks to steal credentials from employees at the major wireless providers in the U.S. and U.K. The group would then use that access to sell a service that could redirect a target’s phone number to a device the attackers controlled and intercept the victim’s calls and text messages (including one-time codes for multi-factor authentication).

New Jersey prosecutors also allege Jubair also was involved in a mass SMS phishing campaign during the summer of 2022 that stole single sign-on credentials from employees at hundreds of companies. That weeks-long SMS phishing campaign led to intrusions and data thefts at more than 130 organizations, including LastPass, DoorDash, Mailchimp, Plex and Signal.

KrebsOnSecurity reported last year that one of Jubair’s alter egos at age 15 was “Everlynn,” a hacker who sold fraudulent “emergency data requests” that used compromised police and government email addresses to demand subscriber data (e.g. username, IP/email address) from major tech companies, claiming the requests concerned urgent matters of life and death and could not wait for a court order.

In April 2026, 24-year-old British national and Scattered Spider member Tyler “Tylerb” Buchanan pleaded guilty to wire fraud conspiracy and aggravated identity theft for participating in the group’s SMS phishing spree in the summer of 2022. The government said Buchanan, Jubair and others used the credentials harvested in that phishing campaign to steal at least $8 million in cryptocurrency from victims throughout the United States. Buchanan is currently scheduled to be sentenced on October 2.

In August 2025, 20-year-old Scattered Spider member from Florida named Noah Michael Urban was sentenced to 10 years in federal prison and ordered to pay $13 million in restitution, after pleading guilty to charges of wire fraud and conspiracy.

The U.S. Department of Justice says three alleged Scattered Spider defendants indicted along with Buchanan still face charges, including Ahmed Hossam Eldin Elbadawy, 24, a.k.a. “AD,” of College Station, Texas; Evans Onyeaka Osiebo, 21, of Dallas, Texas; and Joel Martin Evans, 26, a.k.a. “joeleoli,” of Jacksonville, North Carolina.

Flowers and Jubair are slated to be sentenced in a London court on July 15, 2026.

Two kinds of work you want AI to do in a SOC

1. Work you want off your plate. Alert triage is the obvious example: every alert deserves a real investigation, most of them turn out to be noise, and they arrive at 3am as happily as at noon. Nobody wants help with this work. They want it gone. That’s the half Intezer has spent years building. Autonomous triage that investigates every alert at forensic depth, around the clock, and only interrupts a human when something actually needs human judgment.
2. Work you want to keep, but accelerate. Deciding what to do with an escalation. Writing the incident report. Picking apart the weird binary someone found on a build server. Chasing a hunch across five systems. For this work you don’t want a replacement. You want to be a 10x version of yourself.

Today we’re shipping the second half.

We rebuilt the Intezer MCP server from the ground up, and it turns the AI platform your team already lives in, Claude, Codex, Cursor, or any MCP client, into a full security workspace: your cases, your alerts, file and URL verdicts, live SIEM and EDR telemetry, tuning rules, all of it. We had an MCP server before, and it was a fine way to ask Intezer questions from a chat window. This one is built around a bigger idea: your AI workspace should be able to do everything you can do in Intezer, then combine it with everything else you have access to.

If you read our piece on making sense of the 2026 SOC stack, this release is the missing connection between the top two layers. Detection tools are the hardware. The AI SOC is the operating system that turns raw signals into investigated verdicts and institutional memory. AI platforms like Claude are the applications where people actually work. This release plugs the operating system into the applications.

Watch one investigation, end to end

The video walks through one escalated case, but the pattern behind it is the real story. Intezer’s autonomous triage investigates every alert to forensic depth and resolves what it can on its own. What lands in front of a human is the residue. Cases where the technical facts are settled but the decision still needs judgment, usually because it turns on business context no security tool can see. Was this data share authorized? Is this vendor one we actually work with? Escalating those isn’t a triage failure, rather it’s the line where execution ends and judgment begins.

Putting Intezer inside your AI workspace is what makes that handoff productive. Pick up a case in Claude, Codex, or Cursor and you inherit the full investigation Intezer already ran, plus its recommendation, with a partner that can reach the context security tools never had: your email, Slack, the ticket queue. You keep the decision; it does the legwork around you at machine speed, pulling the case, cross-referencing your systems, documenting the verdict, writing a tuning rule. What used to be an afternoon of pivoting between consoles becomes a short, supervised exchange.

That’s the point of the combination: the autonomous half absorbs the scale, the assistive half carries the judgment, and every call you make feeds back as logic that makes the autonomous half smarter. You’re not handing off your work; you’re making judgment calls with the context, evidence, and follow-through already assembled around you.

The same question, with and without Intezer

Same alert, two ways to handle it. On the left, Claude on its own takes the impossible-travel sign-in and works it by hand. It reasons well and gets close — managed device, MFA passed, probably real travel — but it can’t collect evidence from the endpoint to confirm, so the last step falls back to a human checking the laptop. And that’s one alert; almost 4,000 more are still waiting behind it. One analyst, one alert at a time, with no way to run it across the whole team. On the right, the same alert inside the AI SOC: Intezer triages every alert around the clock, closes the ~98% that need no action, and escalates only the ~2% that genuinely need a person. Claude is where you pick those up so you can stop grinding the queue and start supervising the few cases that actually need you.

Most of the org knowledge an investigation needs is already centralized in Intezer. That’s the whole point of the platform. But some context only ever lives with you: a procurement thread in someone’s inbox, a Slack message from three weeks ago, a calendar invite. With Intezer connected on one side and your IT and communication stack on the other, your AI workspace can cross-reference both in a single investigation.

Why not plug Claude into all security tools directly?

You could also wire your AI client straight into each security tool yourself. Most of them ship an MCP these days. Two things make that a worse deal than it looks. First, the integration work is now yours: stitching a dozen connectors together, learning each product’s query quirks, and getting back a pile of disconnected results instead of one correlated picture. Second, raw tool access still isn’t investigation. With every EDR, SIEM, and intel feed wired in, the model can read your data, but it can’t collect evidence off an endpoint, run memory forensics, or weigh conflicting signals into a verdict it will actually stand behind, which is exactly where Claude stalls on the left in above image.

Intezer already did both jobs. One connector hands the model a SOC’s worth of normalized cases, verdicts backed by real forensic evidence, and cross-tool correlation. An AI platform does its best work standing on a real foundation of security knowledge, not on a dozen raw feeds it has to assemble itself.

Investigate and close the cases Intezer escalates to you

This is where analyst hours should go, so it’s where the MCP goes deepest. Whatever the alert type, the shape is the same: pull the case, build on everything the autonomous triage already found, cross-reference your other systems, decide interactively with you, and close with evidence.

And “pull the case” carries real weight here. A case from Intezer is not a bare ticket. It arrives with everything triage already did: the evidence it collected, the SIEM and EDR queries it ran, the forensic analysis of each artifact, the verdicts it reached. You’re not starting from a blank page; you’re picking up a deep investigation and taking it the last mile.

“Pick up the oldest escalated open case and let’s investigate it together.”

The clip above takes an impossible-travel alert. The MCP brings the full login history including every IP and geo, and who else touched the same address as well as your AI workspace cross-references calendar and Slack for travel context. When the evidence still isn’t conclusive, it can ask the user directly and close on their answer, so the one human check that actually mattered takes seconds instead of becoming a follow-up ticket.

Make tomorrow’s autonomous triage smarter

If a case should never have reached you, closing it is half the job. The other half is making sure it never reaches you again.

“We keep getting this exact false positive. Write a tuning rule so it never escalates again, then retriage the case.”

Claude inspects the alert’s triage indicators, drafts a narrowly scoped tuning rule, and tests the pattern against the real alert object before proposing anything. It checks whether an existing rule should be extended instead of creating a near-duplicate. It asks the question every detection engineer should ask: could an attacker hide inside this rule? Then it pushes the rule to Intezer for your approval and retriages the affected alerts so the fix applies immediately.

Tuning runs both directions, too. The same mechanism can tell the autonomous triage to always escalate a pattern it can’t yet call malicious with confidence, so the genuinely ambiguous cases land in front of a human by design, not by luck.

This is where the two halves of the AI SOC meet. Every rule your AI workspace writes makes the autonomous half smarter, which means fewer escalations next month, which means the time you spend supervising keeps shrinking. The system compounds.

From case to incident report in one prompt

When a case turns into a real incident, the hours after containment go to reconstruction: which alerts were related, which machines were touched, what happened first, and what to tell leadership.

“Write an incident report for the latest case we worked on — timeline, affected assets, and an exec summary I can send to the CISO.”

Your AI workspace pulls the case and its full activity trail from Intezer, expands across the users, devices, and IPs involved, and rebuilds the timeline from the forensic evidence already on file. Then it writes the report with an executive summary up top, technical detail below, in your template if you have one, and finally exports it to a clean, brand-styled PDF you can send as-is. The data was always in Intezer; the report was just assembly. Now assembly is one prompt.

Threat hunting: start from a lead, not an alert

Not every investigation starts in the queue. Sometimes it starts with your CISO forwarding an article about a campaign that’s hitting your industry.

“Here’s a writeup of a new campaign [link]. Check whether any of these IOCs appear anywhere in our environment, and analyze anything you find.”

Your AI workspace extracts the indicators and techniques from the writeup, sweeps your environment through Intezer’s SIEM and EDR query tools, and returns the matching assets, alerts, and artifacts for analysis. When you find something worth a closer look, you can fire deep forensics to go one step further with your hunt.

How it works

The Intezer MCP server is hosted by us. You authorize over OAuth from any MCP client: Claude (Desktop, Code, or claude.ai), ChatGPT, Codex, Cursor, or anything else that speaks the protocol.

Under the hood it exposes 66 tools covering the full case lifecycle: search and fetch cases and alerts, file and URL analysis, live queries against more than a dozen SIEM and EDR products in their native query languages (KQL, SPL, XQL, SDL, and the rest, with per-vendor syntax guides built in so the model gets them right), tuning rules and AI instructions, retriage, and case editing.

This architecture is what makes the two halves described above work as one system: the autonomous half clears work off your plate, while the assistive half accelerates the tasks where you still want to stay in the loop.

Getting started

1. If you’re already an Intezer customer, an Intezer admin creates an MCP OAuth application under Account Settings → MCP OAuth Applications.
2. Add Intezer as a custom connector in your AI client such as Claude, ChatGPT, or any MCP client. Point it at the hosted server, and authorize with your own Intezer login over OAuth.
3. Open with one prompt: ask it to pick up your oldest open escalation.

The autonomous half investigates everything, around the clock, so your team only sees what matters. The assistive half makes the time you spend on what matters dramatically shorter. One system of record and detection logic underneath both: your cases, your verdicts, your tuning rules, your institutional memory, working for you whether the investigation runs inside Intezer or inside your AI workspace.

AI executes. Humans supervise. And now the supervising got a lot faster too.

If you’re not an Intezer customer yet, book a demo and we’ll show you both halves at once: autonomous triage working every alert around the clock, and a co-pilot that helps your analysts close the escalations that do reach them 10x faster.

The post The other half of the AI SOC: Intezer, now inside your AI workspace appeared first on Intezer.

Researchers have analyzed a new Android banking Trojan called Rokarolla. It can effectively take over a device, steal banking and crypto login details from more than 200 apps, and quietly monitor much of what you do on your phone.

On an infected device, Rokarolla steals banking and crypto login details. It also uses fake lock-screen overlays to capture your PIN, pattern, or password.

When you open one of the banking or crypto apps on Rokarolla’s target list, the malware downloads and displays a matching fake login page over the real app. Anything you type into the fake page, including usernames, passwords, and card numbers, is sent to the attackers.

Separately, Rokarolla abuses Android’s Accessibility features to monitor activity across the device. It can recognize WhatsApp screens by looking for familiar labels such as “Chats” and “Calls,” extract contact information, read SMS messages, and send new ones. These capabilities can help it intercept one-time passwords (OTPs) and two-factor authentication (2FA) codes.

Rokarolla can take control of text messages and phone calls, helping it block security alerts and hide signs of fraud.

It can also record everything you type and see on the screen. If you copy and paste a cryptocurrency wallet address, the malware can secretly replace it with one belonging to the attackers.

Other features help the malware stay hidden, including the ability to hide its icon, silence the device, turn off Google Play Protect, and prevent the screen from going to sleep.

How it spreads

Rokarolla is distributed through rogue websites, where it is offered as fake versions of popular apps like TikTok or Chrome.

Instead of sending you to the official Google Play Store, these malicious sites push you to download the app directly, a process known as sideloading. After you install it, the fake app poses as Google Play Protect and quietly downloads and installs the malware that carries out the attack.

To gain the access it needs, the fake app asks for powerful permissions, including Accessibility access, the permission to read SMS messages, and access to notifications. Because these requests can look legitimate, many users may approve them without realizing the risks.

How to stay safe

To avoid banking Trojans like Rokarolla, there are a few guidelines you should follow:

• Don’t trust apps that claim to be Google Play Protect or another system component. You should never need to install these manually.
• Use up-to-date, real-time anti-malware protection with web protection on your devices.
• Don’t sideload apps that are available on the Google Play Store. While malware can sometimes slip into official stores, the risk is much greater elsewhere.
• Deny powerful permissions to apps downloaded from links or websites, especially if they ask for Accessibility access, SMS permissions, or the ability to handle calls, even though that doesn’t match their stated purpose.
• In fact, any request for Accessibility access should be treated with caution. If an app that is not clearly an accessibility tool asks for it, deny the request and reconsider whether you trust the source.
• Scrutinize banking and crypto login screens. If something looks off, or you see multiple login prompts, close the app and relaunch it from its official icon.

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Researchers have analyzed a new Android banking Trojan called Rokarolla. It can effectively take over a device, steal banking and crypto login details from more than 200 apps, and quietly monitor much of what you do on your phone.

On an infected device, Rokarolla steals banking and crypto login details. It also uses fake lock-screen overlays to capture your PIN, pattern, or password.

When you open one of the banking or crypto apps on Rokarolla’s target list, the malware downloads and displays a matching fake login page over the real app. Anything you type into the fake page, including usernames, passwords, and card numbers, is sent to the attackers.

Separately, Rokarolla abuses Android’s Accessibility features to monitor activity across the device. It can recognize WhatsApp screens by looking for familiar labels such as “Chats” and “Calls,” extract contact information, read SMS messages, and send new ones. These capabilities can help it intercept one-time passwords (OTPs) and two-factor authentication (2FA) codes.

Rokarolla can take control of text messages and phone calls, helping it block security alerts and hide signs of fraud.

It can also record everything you type and see on the screen. If you copy and paste a cryptocurrency wallet address, the malware can secretly replace it with one belonging to the attackers.

Other features help the malware stay hidden, including the ability to hide its icon, silence the device, turn off Google Play Protect, and prevent the screen from going to sleep.

How it spreads

Rokarolla is distributed through rogue websites, where it is offered as fake versions of popular apps like TikTok or Chrome.

Instead of sending you to the official Google Play Store, these malicious sites push you to download the app directly, a process known as sideloading. After you install it, the fake app poses as Google Play Protect and quietly downloads and installs the malware that carries out the attack.

To gain the access it needs, the fake app asks for powerful permissions, including Accessibility access, the permission to read SMS messages, and access to notifications. Because these requests can look legitimate, many users may approve them without realizing the risks.

How to stay safe

To avoid banking Trojans like Rokarolla, there are a few guidelines you should follow:

• Don’t trust apps that claim to be Google Play Protect or another system component. You should never need to install these manually.
• Use up-to-date, real-time anti-malware protection with web protection on your devices.
• Don’t sideload apps that are available on the Google Play Store. While malware can sometimes slip into official stores, the risk is much greater elsewhere.
• Deny powerful permissions to apps downloaded from links or websites, especially if they ask for Accessibility access, SMS permissions, or the ability to handle calls, even though that doesn’t match their stated purpose.
• In fact, any request for Accessibility access should be treated with caution. If an app that is not clearly an accessibility tool asks for it, deny the request and reconsider whether you trust the source.
• Scrutinize banking and crypto login screens. If something looks off, or you see multiple login prompts, close the app and relaunch it from its official icon.

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Scammers know more about you than you think. 

Malwarebytes Mobile Security protects you from phishing, scam texts, malicious sites, and more. With real-time AI-powered Scam Guard built right in. 

Download for iOS → Download for Android → 

A newly discovered database containing 24 billion stolen records is a reminder that personal information from data breaches, phishing campaigns, and infostealer infections continues to circulate online.

The collection was exposed on the internet before being taken offline. While researchers can’t confirm exactly whose information was included, the discovery is a good opportunity to check whether your email addresses, passwords, or other personal data have already been exposed.

What happened?

Researchers at Cybernews found a publicly exposed database holding more than 8.3 TB of data.

The data, consisting of 24 billion credential records, reportedly came from 36 sources, including numerous Telegram channels, prior breach compilations, collections of infostealer logs, and some datasets apparently exported directly from live servers.

Because the data came from different sources there are some differences in what the records contain and how they are organized.

Some records were structured infostealer logs containing usernames, email addresses, and plaintext passwords, and the associated login URL. Infostealers are a type of malware designed to steal sensitive information from infected devices, such as your home computer.

An infostealer log from a single infected device can include passwords stored across all browsers, active session cookies and tokens (including those that bypass multi-factor authentication), autofill data, device fingerprints, and sometimes crypto wallets or messaging accounts. The complete bundle is what ends up in logs such as those seen by the Cybernews researchers.

Roughly 1.7 billion of the records came from hacking-related Telegram channels, mainly English and Russian, including at least one that was focused on stolen credit card data.

The exposed database was hosted on an Elasticsearch cluster. Elasticsearch is a tool used to quickly store and search lots of data. If an Elasticsearch server lacks passwords, authentication, or network restrictions, it can be accessed by anyone who finds it online. Without protections such as passwords or a firewall, anyone can read, copy, change, or even delete its data.

Other documents in the dataset contained information about known vulnerabilities, articles about breaches, and social media posts about cyberattacks. This suggests the owner actively monitors security news and vulnerabilities and enriches the credential hoard with fresh breach information, either for a commercial “monitoring” service or for offensive use.

A few years ago, we wrote about what was called the “mother of all breaches,” where the source of the dataset was later identified as data breach search engine Leak-Lookup.

This newly discovered 24 billion record exposure is in the same league as that previous mega‑dump, but appears more heavily weighted toward fresh infostealer logs, rather than older, static breach data.

Since the data was taken out of public view soon after the discovery, the researchers were unable to fully retrace everything they had found or determine how many duplicate records it contained. That’s reassuring because it reduces the chances of cybercriminals finding the database, but reused passwords may still put accounts at risk. And we still don’t know the purpose for the data collection in the first place.

What to do now

It’s good to be aware of how much information about you is out there and who’s gathering it, but it’s even more important to know exactly which information they have, since that is what they can use against you.

1. Check if your data has been exposed online using our Digital Footprint Portal.

2. If you discover exposed passwords, change them immediately and make sure you aren’t reusing the same password across multiple accounts. Prioritize updating your important accounts such as email, banking, shopping, and social media accounts.

3. Turn on multi-factor authentication (MFA) wherever possible, since it can help protect accounts even if a password has been exposed.

How to protect your data

Infostealers often spread through malicious ads, fake browser updates, and one-click downloads. Avoid clicking sponsored ads, and instead visit official websites directly. Download software only from trusted sources such as official vendor sites or app stores.

Another increasingly popular technique is ClickFix, a social engineering attack that tricks users into infecting their own devices. Never run commands or scripts copied from websites, emails, or messages unless you trust the source and understand what they do.

Pirated software, game cheats, cracked tools, and shady browser extensions remain common sources of infostealer infections. Stick to reputable software and extensions, and be wary of anything asking for excessive permissions.

Lastly, phishing emails are still a major threat. Be cautious of unexpected attachments, links, and urgent requests. If you’re unsure whether a message is legitimate, verify it through the company’s official website rather than the link in the message.

You can also use Malwarebytes Scam Guard to check individual messages. Just upload a screenshot and we’ll let you know if it’s a scam.

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A newly discovered database containing 24 billion stolen records is a reminder that personal information from data breaches, phishing campaigns, and infostealer infections continues to circulate online.

The collection was exposed on the internet before being taken offline. While researchers can’t confirm exactly whose information was included, the discovery is a good opportunity to check whether your email addresses, passwords, or other personal data have already been exposed.

What happened?

Researchers at Cybernews found a publicly exposed database holding more than 8.3 TB of data.

The data, consisting of 24 billion credential records, reportedly came from 36 sources, including numerous Telegram channels, prior breach compilations, collections of infostealer logs, and some datasets apparently exported directly from live servers.

Because the data came from different sources there are some differences in what the records contain and how they are organized.

Some records were structured infostealer logs containing usernames, email addresses, and plaintext passwords, and the associated login URL. Infostealers are a type of malware designed to steal sensitive information from infected devices, such as your home computer.

An infostealer log from a single infected device can include passwords stored across all browsers, active session cookies and tokens (including those that bypass multi-factor authentication), autofill data, device fingerprints, and sometimes crypto wallets or messaging accounts. The complete bundle is what ends up in logs such as those seen by the Cybernews researchers.

Roughly 1.7 billion of the records came from hacking-related Telegram channels, mainly English and Russian, including at least one that was focused on stolen credit card data.

The exposed database was hosted on an Elasticsearch cluster. Elasticsearch is a tool used to quickly store and search lots of data. If an Elasticsearch server lacks passwords, authentication, or network restrictions, it can be accessed by anyone who finds it online. Without protections such as passwords or a firewall, anyone can read, copy, change, or even delete its data.

Other documents in the dataset contained information about known vulnerabilities, articles about breaches, and social media posts about cyberattacks. This suggests the owner actively monitors security news and vulnerabilities and enriches the credential hoard with fresh breach information, either for a commercial “monitoring” service or for offensive use.

A few years ago, we wrote about what was called the “mother of all breaches,” where the source of the dataset was later identified as data breach search engine Leak-Lookup.

This newly discovered 24 billion record exposure is in the same league as that previous mega‑dump, but appears more heavily weighted toward fresh infostealer logs, rather than older, static breach data.

Since the data was taken out of public view soon after the discovery, the researchers were unable to fully retrace everything they had found or determine how many duplicate records it contained. That’s reassuring because it reduces the chances of cybercriminals finding the database, but reused passwords may still put accounts at risk. And we still don’t know the purpose for the data collection in the first place.

What to do now

It’s good to be aware of how much information about you is out there and who’s gathering it, but it’s even more important to know exactly which information they have, since that is what they can use against you.

1. Check if your data has been exposed online using our Digital Footprint Portal.

2. If you discover exposed passwords, change them immediately and make sure you aren’t reusing the same password across multiple accounts. Prioritize updating your important accounts such as email, banking, shopping, and social media accounts.

3. Turn on multi-factor authentication (MFA) wherever possible, since it can help protect accounts even if a password has been exposed.

How to protect your data

Infostealers often spread through malicious ads, fake browser updates, and one-click downloads. Avoid clicking sponsored ads, and instead visit official websites directly. Download software only from trusted sources such as official vendor sites or app stores.

Another increasingly popular technique is ClickFix, a social engineering attack that tricks users into infecting their own devices. Never run commands or scripts copied from websites, emails, or messages unless you trust the source and understand what they do.

Pirated software, game cheats, cracked tools, and shady browser extensions remain common sources of infostealer infections. Stick to reputable software and extensions, and be wary of anything asking for excessive permissions.

Lastly, phishing emails are still a major threat. Be cautious of unexpected attachments, links, and urgent requests. If you’re unsure whether a message is legitimate, verify it through the company’s official website rather than the link in the message.

You can also use Malwarebytes Scam Guard to check individual messages. Just upload a screenshot and we’ll let you know if it’s a scam.

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Cardiac monitoring provider iRhythm has been hit by a data theft followed by an extortion attempt.

In a filing with the Securities and Exchange Commission (SEC), iRhythm revealed it was contacted by someone on June 9 who claimed to have stolen sensitive information, including proprietary data, patient PHI, and other personal information. That person demanded payment in exchange for not publishing the data.

iRhythm provides ambulatory cardiac monitoring and analysis (for example using the Zio patch) and has reportedly processed over two billion hours of heartbeat data from more than twelve million patients.

In the filing, the company said the data was obtained through social engineering and is from “certain third-party-hosted business applications”, without revealing any further details about the amount of data.

On its own website, iRhythm also doesn’t disclose much about the nature of the stolen data, but does seem to imply no financial data was affected:

“We have not identified any impact to our products, our clinical or medical device systems, our connections to customers, our manufacturing and distribution operations, patient safety, or our ability to meet patient needs. In addition, we do not store or retain individual financial account information or payment card information. 

 As we actively investigate, we will notify individuals affected by this incident in accordance with applicable law and take steps as needed to protect and remediate the impact to them.“

However, the SEC filing adds that iRhythm determined that the incident is significant, “in light of the volume of the potentially affected data.” Together with the extortionist’s claims that they have patients’ medical data, that makes the breach one worth noting if you have used iRhythm’s services.

Even without payment data, healthcare breaches have serious downstream effects:

• Attackers can craft highly convincing emails, texts, or calls that reference specific procedures or monitoring episodes (for example, “about your recent Zio patch recording”) to trick patients into sharing more data or paying fake bills.
• The breached data can be used to create a fake identity, insurance fraud, or medical identity theft.
• Exposure of cardiac and other health‑related information can be deeply sensitive and may have employment/insurance ramifications, especially if data is posted publicly or sold to data brokers.

Healthcare breach data tends to circulate for years, and victims may face sporadic fraud and phishing attempts long after the headlines fade.

How to stay safe

If you’ve used iRhythm’s services, keep an eye on your post, email, and patient portals for official breach notifications from iRhythm or your healthcare provider.

In the US, breaches of protected health information that meet certain criteria must be reported to patients and regulators. iRhythm has promised to “notify individuals affected by this incident in accordance with applicable law and take steps as needed to protect and remediate the impact to them.”

To stay out of the hands of phishers and scammers:

• When you receive a communication about the data breach, verify through other channels that it really came from iRhythm. Go directly to iRhythm’s official website or patient portal, or call a known phone number to confirm the communication is genuine.
• Be extra suspicious of emails or texts that claim to offer compensation, refunds, or other financial consequences related to this incident.
• Change passwords for your iRhythm‑linked portals and your cardiology or hospital patient portals, especially if you reused those passwords elsewhere.
• Log into your health insurer’s portal and check claims on a regular basis.
• If you see anything suspicious, report it immediately to your insurer and provider and ask them to flag your account for possible identity theft.
• Do not provide personal or financial information over the phone just because the caller knows details about you which they may have obtained from the stolen data.

---

Let’s face it, an incognito window can only do so much. 
 
Breaches, dark web trading, credit fraud. Malwarebytes Identity Theft Protection monitors for all of it, alerts you fast, and comes with identity theft insurance. 

Cardiac monitoring provider iRhythm has been hit by a data theft followed by an extortion attempt.

In a filing with the Securities and Exchange Commission (SEC), iRhythm revealed it was contacted by someone on June 9 who claimed to have stolen sensitive information, including proprietary data, patient PHI, and other personal information. That person demanded payment in exchange for not publishing the data.

iRhythm provides ambulatory cardiac monitoring and analysis (for example using the Zio patch) and has reportedly processed over two billion hours of heartbeat data from more than twelve million patients.

In the filing, the company said the data was obtained through social engineering and is from “certain third-party-hosted business applications”, without revealing any further details about the amount of data.

On its own website, iRhythm also doesn’t disclose much about the nature of the stolen data, but does seem to imply no financial data was affected:

“We have not identified any impact to our products, our clinical or medical device systems, our connections to customers, our manufacturing and distribution operations, patient safety, or our ability to meet patient needs. In addition, we do not store or retain individual financial account information or payment card information. 

 As we actively investigate, we will notify individuals affected by this incident in accordance with applicable law and take steps as needed to protect and remediate the impact to them.“

However, the SEC filing adds that iRhythm determined that the incident is significant, “in light of the volume of the potentially affected data.” Together with the extortionist’s claims that they have patients’ medical data, that makes the breach one worth noting if you have used iRhythm’s services.

Even without payment data, healthcare breaches have serious downstream effects:

• Attackers can craft highly convincing emails, texts, or calls that reference specific procedures or monitoring episodes (for example, “about your recent Zio patch recording”) to trick patients into sharing more data or paying fake bills.
• The breached data can be used to create a fake identity, insurance fraud, or medical identity theft.
• Exposure of cardiac and other health‑related information can be deeply sensitive and may have employment/insurance ramifications, especially if data is posted publicly or sold to data brokers.

Healthcare breach data tends to circulate for years, and victims may face sporadic fraud and phishing attempts long after the headlines fade.

How to stay safe

If you’ve used iRhythm’s services, keep an eye on your post, email, and patient portals for official breach notifications from iRhythm or your healthcare provider.

In the US, breaches of protected health information that meet certain criteria must be reported to patients and regulators. iRhythm has promised to “notify individuals affected by this incident in accordance with applicable law and take steps as needed to protect and remediate the impact to them.”

To stay out of the hands of phishers and scammers:

• When you receive a communication about the data breach, verify through other channels that it really came from iRhythm. Go directly to iRhythm’s official website or patient portal, or call a known phone number to confirm the communication is genuine.
• Be extra suspicious of emails or texts that claim to offer compensation, refunds, or other financial consequences related to this incident.
• Change passwords for your iRhythm‑linked portals and your cardiology or hospital patient portals, especially if you reused those passwords elsewhere.
• Log into your health insurer’s portal and check claims on a regular basis.
• If you see anything suspicious, report it immediately to your insurer and provider and ask them to flag your account for possible identity theft.
• Do not provide personal or financial information over the phone just because the caller knows details about you which they may have obtained from the stolen data.

---

Let’s face it, an incognito window can only do so much. 
 
Breaches, dark web trading, credit fraud. Malwarebytes Identity Theft Protection monitors for all of it, alerts you fast, and comes with identity theft insurance. 

Thanks to Uncle Sam, anyone trying to find nonconsensual intimate deepfakes on CFake.com and SOCFake.com will be disappointed. The US Departments of Justice (DOJ) and Homeland Security has seized the two domain names under the TAKE IT DOWN Act.

The TAKE IT DOWN Act, signed in May 2025, is the first US federal statute criminalizing the publication of nonconsensual intimate imagery, including AI-generated forgeries. It imposes penalties of up to two years’ imprisonment, gives covered platforms 48 hours to remove flagged content, and grants the forfeiture powers the DOJ just used.

According to the seizure warrants, the digital forgeries depicted “politicians, first ladies of multiple countries, royalty, journalists, television presenters, athletes, entertainers, and others,” and visitors could browse them under tags including “rape,” “forced,” and “degradation”.

The authorities didn’t just snag the sites, though. They got the alleged operator of CFake.com, in an international effort.

The US alerted the Paris prosecutor’s office to a French national in Nice who was allegedly running CFake.com. French investigators counted roughly 300,000 images and 7,000 videos depicting 14,000 people across CFake.com, drawing four million monthly views from 200,000 user accounts.

They then arrested the IT professional, who had no prior criminal record. They also found around $64,000 in Ether cryptocurrency at his home in advertising revenue from the site.

The man will be tried on July 7 in Paris for carrying out illicit transactions online and providing nonconsensual sexual deepfakes. The former offence carries a potential seven years’ imprisonment and a €500,000 (approximately $580,000) fine. The latter could yield three years and a €75,000 ($87,000) fine.

Providers and accused providers of nonconsensual intimate deepfakes have also been held in the US. In April, James Strahler II from Ohio pleaded guilty to cyberstalking, producing child sexual abuse material, and publishing digital forgeries.

Strahler had downloaded produced over 700 images and animations posted to a child sexual abuse site, and had sent deepfake material to at least six adult women, including one sent to a victim’s coworkers.

Last month, the DoJ also arrested Cornelius Shannon and Arturo Hernandez under the TAKE IT DOWN Act for publishing thousands of deepfake images of prominent women and those not in the public eye.

Other countries are also taking action. Anthony Rontondo was arrested by Australian authorities in May last year for posting deepfaked pictures of prominent Australian women. He eventually received an AU$343,000 fine.

How prevalent are deepfakes?

These seizures and prosecutions are encouraging, but prosecutors trying to force non-consensual deepfakes offline face a rising tide of such material. Requests for and sharing of nonconsensual deepfake imagery have risen, with activity migrating across platforms. Deepfake incidents overall jumped 257% in 2024, and girls accounted for 94% of victims in reported AI-generated child sexual abuse cases.

Seizing a distribution point removes a storefront. It does not remove the AI models used to produce the material, the anonymous hosting providers downstream, or the demand that draws visitors in the first place.

What you can do

If you or someone you know are depicted in a nonconsensual deepfake, keep dated screenshots, URLs, and any communications as evidence before filing a takedown request and reporting it to the authorities.

Limit the high-resolution face images you and your children post publicly, since school portraits and social media profile pictures are the raw material these tools need.

Take advantage of expert advice to help protect yourself from non-consensual deepfakes:

• Cyber Civil Rights Safety Initiative Safety Center (US)
• Revenge Porn Helpline (UK)
• Cybertip.ca (Canada)

---

Let’s face it, an incognito window can only do so much. 
 
Breaches, dark web trading, credit fraud. Malwarebytes Identity Theft Protection monitors for all of it, alerts you fast, and comes with identity theft insurance. 

Thanks to Uncle Sam, anyone trying to find nonconsensual intimate deepfakes on CFake.com and SOCFake.com will be disappointed. The US Departments of Justice (DOJ) and Homeland Security has seized the two domain names under the TAKE IT DOWN Act.

The TAKE IT DOWN Act, signed in May 2025, is the first US federal statute criminalizing the publication of nonconsensual intimate imagery, including AI-generated forgeries. It imposes penalties of up to two years’ imprisonment, gives covered platforms 48 hours to remove flagged content, and grants the forfeiture powers the DOJ just used.

According to the seizure warrants, the digital forgeries depicted “politicians, first ladies of multiple countries, royalty, journalists, television presenters, athletes, entertainers, and others,” and visitors could browse them under tags including “rape,” “forced,” and “degradation”.

The authorities didn’t just snag the sites, though. They got the alleged operator of CFake.com, in an international effort.

The US alerted the Paris prosecutor’s office to a French national in Nice who was allegedly running CFake.com. French investigators counted roughly 300,000 images and 7,000 videos depicting 14,000 people across CFake.com, drawing four million monthly views from 200,000 user accounts.

They then arrested the IT professional, who had no prior criminal record. They also found around $64,000 in Ether cryptocurrency at his home in advertising revenue from the site.

The man will be tried on July 7 in Paris for carrying out illicit transactions online and providing nonconsensual sexual deepfakes. The former offence carries a potential seven years’ imprisonment and a €500,000 (approximately $580,000) fine. The latter could yield three years and a €75,000 ($87,000) fine.

Providers and accused providers of nonconsensual intimate deepfakes have also been held in the US. In April, James Strahler II from Ohio pleaded guilty to cyberstalking, producing child sexual abuse material, and publishing digital forgeries.

Strahler had downloaded produced over 700 images and animations posted to a child sexual abuse site, and had sent deepfake material to at least six adult women, including one sent to a victim’s coworkers.

Last month, the DoJ also arrested Cornelius Shannon and Arturo Hernandez under the TAKE IT DOWN Act for publishing thousands of deepfake images of prominent women and those not in the public eye.

Other countries are also taking action. Anthony Rontondo was arrested by Australian authorities in May last year for posting deepfaked pictures of prominent Australian women. He eventually received an AU$343,000 fine.

How prevalent are deepfakes?

These seizures and prosecutions are encouraging, but prosecutors trying to force non-consensual deepfakes offline face a rising tide of such material. Requests for and sharing of nonconsensual deepfake imagery have risen, with activity migrating across platforms. Deepfake incidents overall jumped 257% in 2024, and girls accounted for 94% of victims in reported AI-generated child sexual abuse cases.

Seizing a distribution point removes a storefront. It does not remove the AI models used to produce the material, the anonymous hosting providers downstream, or the demand that draws visitors in the first place.

What you can do

If you or someone you know are depicted in a nonconsensual deepfake, keep dated screenshots, URLs, and any communications as evidence before filing a takedown request and reporting it to the authorities.

Limit the high-resolution face images you and your children post publicly, since school portraits and social media profile pictures are the raw material these tools need.

Take advantage of expert advice to help protect yourself from non-consensual deepfakes:

• Cyber Civil Rights Safety Initiative Safety Center (US)
• Revenge Porn Helpline (UK)
• Cybertip.ca (Canada)

---

Let’s face it, an incognito window can only do so much. 
 
Breaches, dark web trading, credit fraud. Malwarebytes Identity Theft Protection monitors for all of it, alerts you fast, and comes with identity theft insurance. 

Anthropic has been ordered by the US government to cut off its newest Claude Fable 5 and Mythos 5 models for fear of abuse by adversaries.

Reuters reports that Anthropic said it will “abruptly ​disable” its most advanced AI models for all users after the US government ordered it to suspend access to the models for foreign nationals, citing national security ‌concerns.

Officials reportedly believe a jailbreak could turn Fable 5 and Mythos 5 into vulnerability-discovery tools for adversaries, so Anthropic says it is disabling them worldwide rather than try to nationality‑filter access, since it is virtually impossible to verify every user’s nationality.

In a statement on its website, Anthropic says:

“The letter did not provide specific details of its national security concern. Our understanding is that the government believes it has become aware of a method of bypassing, or “jailbreaking” Fable 5. We reviewed a demonstration of this specific technique being used to identify a small number of previously known, minor vulnerabilities. These vulnerabilities all appear relatively simple, and we have found that other publicly-available models are able to discover them as well without requiring a bypass.”

Mythos 5 is the non-public full version, which is currently used only by government agencies and selected corporate partners to harden their systems. Fable 5 is a Mythos-class model that should supposedly be safe for general use.

It makes sense to me that if Fable 5 is easy to jailbreak, that it should fall under the same restrictions as Mythos 5. However, Anthropic maintains that it has built-in safeguards that mean queries on some topics will instead receive a response from the next-most-capable model, Claude Opus 4.8. 

The relationship between the US government and Anthropic had shown signs of easing in parts of the US government after tensions over military use, surveillance, and autonomous weapons. In March, defense Secretary Pete Hegseth designated the San Francisco-based company a “supply-chain risk to national security.”

To understand the nature of the argument, it is necessary to understand that Mythos 5 is described in multiple reports as particularly effective at identifying software vulnerabilities, including long‑standing bugs in complex, legacy systems such as those in banking and other critical infrastructure. Many view this as dual‑use: great for defense hardening, but catastrophic in the wrong hands.

In recent updates from major software vendors like Microsoft and Google, we’ve seen a growth in numbers of patched vulnerabilities after the vendors began using AI-guided search for new vulnerabilities in their own software. We also know that Mozilla found over 270 Firefox vulnerabilities with the aid of Anthropic’s new Claude Mythos model. 

What this means

In the wrong hands these vulnerabilities could definitely do a lot of harm. So, it looks like it will take some time before regular consumers and developers will gain access to Fable 5 and Mythos 5 entirely. However, existing Anthropic models (older Claude variants) remain available.

For home users who were simply chatting with Claude or using it to help with basic scripting, the change will mostly show up as “this specific version is unavailable” rather than a broader AI blackout.

Removing a high‑end vulnerability‑finding model from broad circulation increases the effort required for less‑resourced cybercriminals to automate discovery of complex bugs in consumer‑facing software and services only by so much. There are other models available on the black market that might be just as effective. And for most cybercriminals, turning a vulnerability into a method they can utilize in an exploit is much more relevant.

---

We don’t just report on threats—we remove them

Cybersecurity risks should never spread beyond a headline. Keep threats off your devices by downloading Malwarebytes today.

Anthropic has been ordered by the US government to cut off its newest Claude Fable 5 and Mythos 5 models for fear of abuse by adversaries.

Reuters reports that Anthropic said it will “abruptly ​disable” its most advanced AI models for all users after the US government ordered it to suspend access to the models for foreign nationals, citing national security ‌concerns.

Officials reportedly believe a jailbreak could turn Fable 5 and Mythos 5 into vulnerability-discovery tools for adversaries, so Anthropic says it is disabling them worldwide rather than try to nationality‑filter access, since it is virtually impossible to verify every user’s nationality.

In a statement on its website, Anthropic says:

“The letter did not provide specific details of its national security concern. Our understanding is that the government believes it has become aware of a method of bypassing, or “jailbreaking” Fable 5. We reviewed a demonstration of this specific technique being used to identify a small number of previously known, minor vulnerabilities. These vulnerabilities all appear relatively simple, and we have found that other publicly-available models are able to discover them as well without requiring a bypass.”

Mythos 5 is the non-public full version, which is currently used only by government agencies and selected corporate partners to harden their systems. Fable 5 is a Mythos-class model that should supposedly be safe for general use.

It makes sense to me that if Fable 5 is easy to jailbreak, that it should fall under the same restrictions as Mythos 5. However, Anthropic maintains that it has built-in safeguards that mean queries on some topics will instead receive a response from the next-most-capable model, Claude Opus 4.8. 

The relationship between the US government and Anthropic had shown signs of easing in parts of the US government after tensions over military use, surveillance, and autonomous weapons. In March, defense Secretary Pete Hegseth designated the San Francisco-based company a “supply-chain risk to national security.”

To understand the nature of the argument, it is necessary to understand that Mythos 5 is described in multiple reports as particularly effective at identifying software vulnerabilities, including long‑standing bugs in complex, legacy systems such as those in banking and other critical infrastructure. Many view this as dual‑use: great for defense hardening, but catastrophic in the wrong hands.

In recent updates from major software vendors like Microsoft and Google, we’ve seen a growth in numbers of patched vulnerabilities after the vendors began using AI-guided search for new vulnerabilities in their own software. We also know that Mozilla found over 270 Firefox vulnerabilities with the aid of Anthropic’s new Claude Mythos model. 

What this means

In the wrong hands these vulnerabilities could definitely do a lot of harm. So, it looks like it will take some time before regular consumers and developers will gain access to Fable 5 and Mythos 5 entirely. However, existing Anthropic models (older Claude variants) remain available.

For home users who were simply chatting with Claude or using it to help with basic scripting, the change will mostly show up as “this specific version is unavailable” rather than a broader AI blackout.

Removing a high‑end vulnerability‑finding model from broad circulation increases the effort required for less‑resourced cybercriminals to automate discovery of complex bugs in consumer‑facing software and services only by so much. There are other models available on the black market that might be just as effective. And for most cybercriminals, turning a vulnerability into a method they can utilize in an exploit is much more relevant.

---

We don’t just report on threats—we remove them

Cybersecurity risks should never spread beyond a headline. Keep threats off your devices by downloading Malwarebytes today.

Last week on Malwarebytes Labs:

• Stolen iPhones could soon be worth a lot less to thieves
• Fake verification pages are stealing Steam accounts from players
• Google can be liable for false AI Overviews, court rules
• VRChat says reported data breach never happened
• Children’s phones must block nude images by September, UK says
• Free Spotify Premium hacks on social media are spreading infostealers
• Microsoft’s biggest-ever Patch Tuesday fixes 206 bugs, including 3 zero-days
• 88% of people struggle to tell what’s real online
• Meta’s face-recognition code raises new concerns about smart glasses
• Scammers love Meta, according to Lloyds Bank
• Update Chrome: Google patches actively exploited vulnerability and 73 others
• Americans lost nearly $900 million to AI-powered scams, FBI says
• Pirated PC games are delivering password-stealing malware

Stay safe!

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Something feel off? Check it before you click.  

Malwarebytes Scam Guard helps you analyze suspicious links, texts, and screenshots instantly.  

Available with Malwarebytes Premium Security for all your devices, and in the Malwarebytes app for iOS and Android.  

Try it free → 

Last week on Malwarebytes Labs:

• Stolen iPhones could soon be worth a lot less to thieves
• Fake verification pages are stealing Steam accounts from players
• Google can be liable for false AI Overviews, court rules
• VRChat says reported data breach never happened
• Children’s phones must block nude images by September, UK says
• Free Spotify Premium hacks on social media are spreading infostealers
• Microsoft’s biggest-ever Patch Tuesday fixes 206 bugs, including 3 zero-days
• 88% of people struggle to tell what’s real online
• Meta’s face-recognition code raises new concerns about smart glasses
• Scammers love Meta, according to Lloyds Bank
• Update Chrome: Google patches actively exploited vulnerability and 73 others
• Americans lost nearly $900 million to AI-powered scams, FBI says
• Pirated PC games are delivering password-stealing malware

Stay safe!

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This is a current list of where and when I am scheduled to speak:

• I’m giving a keynote at Cybernation 2026 in Berlin, Germany, on June 24, 2026.
• I’m speaking at the Potsdam Conference on National Cybersecurity at the Hasso Plattner Institut in Potsdam, Germany. The event runs June 24–25, 2026, and my talk will be the evening of June 24.
• I’m participating in a panel discussion at the Austrian Institute for International Affairs in Vienna on Thursday, June 25, 2026.
• I’m speaking at the Digital Humanism Conference in Vienna, Austria, on Friday, June 26, 2026.
• I’m giving a fireside chat for Epicenter Works, to be held at Kaffee Alt Wien in Vienna, Austria, on Friday, June 26, 2026.
• I’m participating (via Zoom) in a panel discussion at Quantum.Tech World in Boston, Massachusetts, USA, on Friday, June 26, 2026. The topic is “Q-Day’s Shortening Deadline: Immediate Solutions.”
• I’m speaking at Czech Technical University in Prague, Czechia, on Monday, June 29, 2026.
• I’m speaking at the Nuremberg Digital Festival in Nuremburg, Germany, on Wednesday, July 1, 2026.
• I’m speaking at CanSecWest 2026 in Vancouver, Canada. The conference runs September 30–October 1, 2026; the time of my talk is TBD.

The list is maintained on this page.

Heimdal sysadmin Alex Panait spent weeks testing Claude Cowork inside the company. His verdict was blunt. It felt like onboarding a junior employee with no manager, no scoped access, and no clear accountability when something goes wrong. Except this one can delete your SharePoint. That is the uncomfortable reality behind autonomous AI desktop assistants. They […]

The post Your Next Insider Threat May Be an AI Coworker appeared first on Heimdal Security Blog.

The UK’s Metropolitan Police has reached an agreement with Apple designed to make stolen iPhones harder to resell and less attractive to thieves. The approach combines stronger technical protections with direct data sharing between Apple and law enforcement.

In 2023, about 1.4 million mobile phones were stolen in the US alone. London is reportedly one of the worst cities for phone theft, with around 200 devices stolen every day. 

As part of this effort, Apple has strengthened its Stolen Device Protection feature in iOS 26.4, making it harder for thieves to change security settings, factory‑reset a stolen iPhone, or set it up as new.

Previously, thieves with your passcode (or who snatched your iPhone while it was still unlocked) could factory reset it, wiping your account and making the device look new for resale. Stolen Device Protection blocks this, requiring biometric authentication, not just a passcode, to make critical changes.

The Met has started sharing identifiers for reported stolen devices with Apple. In return, Apple can provide data on whether those devices later attempt to reconnect to a network or attempt to be reactivated.

Police say this gives them a better picture of what happens to stolen devices: Are they being switched back on locally? Shipped abroad? Broken down for parts?

Met Police Commissioner Sir Mark Rowley said Apple believes it has “cracked” the engineering problem. Phone thefts in London have since fallen 18% year-on-year, with Westminster (the capital’s worst-affected borough) down 45.8%.

Given the early signs of success, the Met is pressing for broader changes.

The Commissioner has written to the Home Secretary asking for laws that would require all phone manufacturers and mobile operators to share information about stolen devices and implement measures that make stolen handsets unusable. 

As part of that effort, the Met has explicitly said that Samsung and Google are also improving device security to address phone theft, suggesting this will become an industry‑wide expectation rather than an Apple‑only initiative.

Possible pitfalls

From a privacy perspective, it’s important to keep an eye on what data is shared, and who can see it.

Reports so far suggest that Apple and the Met are exchanging device identifiers and high‑level information about whether a stolen phone has attempted to reconnect or be reactivated. In theory, that sounds narrow and purpose‑bound: device X was reported stolen, later tried to come online in country Y, at time Z. There is no public indication that content, contacts, or location histories are being handed over wholesale.

There’s also a risk of someone reporting your phone as stolen. If a device is incorrectly marked as stolen, the protections designed to stop thieves could lock an innocent user out, turning a valuable asset into a brick. Without transparent appeal mechanisms, this is a notable concern.

The measures could also create challenges for recycling initiatives, legitimate repair shops, and refurbishers. They may face additional hurdles when diagnosing, restoring, or reselling devices if anti-theft protections become more restrictive.

Stay safe

Make sure your phone is protected with a strong passcode and biometric security, such as Face ID or a fingerprint.

Enable Apple’s Find My feature, or the Android equivalent, and make sure it is linked to a strong account password.

Keep lock screen notifications to a minimum so thieves cannot quickly access your sensitive information if they get hold of your device.

When buying a used phone, use a reputable seller and make sure the device has been reset by its owner. Complete the initial setup process with the seller present to confirm the phone isn’t locked to someone else’s account or reported stolen.

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Scammers know more about you than you think. 

Malwarebytes Mobile Security protects you from phishing, scam texts, malicious sites, and more. With real-time AI-powered Scam Guard built right in. 

Download for iOS → Download for Android → 

The UK’s Metropolitan Police has reached an agreement with Apple designed to make stolen iPhones harder to resell and less attractive to thieves. The approach combines stronger technical protections with direct data sharing between Apple and law enforcement.

In 2023, about 1.4 million mobile phones were stolen in the US alone. London is reportedly one of the worst cities for phone theft, with around 200 devices stolen every day. 

As part of this effort, Apple has strengthened its Stolen Device Protection feature in iOS 26.4, making it harder for thieves to change security settings, factory‑reset a stolen iPhone, or set it up as new.

Previously, thieves with your passcode (or who snatched your iPhone while it was still unlocked) could factory reset it, wiping your account and making the device look new for resale. Stolen Device Protection blocks this, requiring biometric authentication, not just a passcode, to make critical changes.

The Met has started sharing identifiers for reported stolen devices with Apple. In return, Apple can provide data on whether those devices later attempt to reconnect to a network or attempt to be reactivated.

Police say this gives them a better picture of what happens to stolen devices: Are they being switched back on locally? Shipped abroad? Broken down for parts?

Met Police Commissioner Sir Mark Rowley said Apple believes it has “cracked” the engineering problem. Phone thefts in London have since fallen 18% year-on-year, with Westminster (the capital’s worst-affected borough) down 45.8%.

Given the early signs of success, the Met is pressing for broader changes.

The Commissioner has written to the Home Secretary asking for laws that would require all phone manufacturers and mobile operators to share information about stolen devices and implement measures that make stolen handsets unusable. 

As part of that effort, the Met has explicitly said that Samsung and Google are also improving device security to address phone theft, suggesting this will become an industry‑wide expectation rather than an Apple‑only initiative.

Possible pitfalls

From a privacy perspective, it’s important to keep an eye on what data is shared, and who can see it.

Reports so far suggest that Apple and the Met are exchanging device identifiers and high‑level information about whether a stolen phone has attempted to reconnect or be reactivated. In theory, that sounds narrow and purpose‑bound: device X was reported stolen, later tried to come online in country Y, at time Z. There is no public indication that content, contacts, or location histories are being handed over wholesale.

There’s also a risk of someone reporting your phone as stolen. If a device is incorrectly marked as stolen, the protections designed to stop thieves could lock an innocent user out, turning a valuable asset into a brick. Without transparent appeal mechanisms, this is a notable concern.

The measures could also create challenges for recycling initiatives, legitimate repair shops, and refurbishers. They may face additional hurdles when diagnosing, restoring, or reselling devices if anti-theft protections become more restrictive.

Stay safe

Make sure your phone is protected with a strong passcode and biometric security, such as Face ID or a fingerprint.

Enable Apple’s Find My feature, or the Android equivalent, and make sure it is linked to a strong account password.

Keep lock screen notifications to a minimum so thieves cannot quickly access your sensitive information if they get hold of your device.

When buying a used phone, use a reputable seller and make sure the device has been reset by its owner. Complete the initial setup process with the seller present to confirm the phone isn’t locked to someone else’s account or reported stolen.

---

Scammers know more about you than you think. 

Malwarebytes Mobile Security protects you from phishing, scam texts, malicious sites, and more. With real-time AI-powered Scam Guard built right in. 

Download for iOS → Download for Android →