Vulnerability and exposure management (VM) teams need critical metadata and context that clearly show which issues pose an immediate risk to their organization. While traditional VM frameworks tell defenders how severe a vulnerability may be, they do not provide visibility into how likely threat actors are to exploit it. This leaves security teams overwhelmed in patch backlogs without a clear strategy for prioritization.

Nowhere is this prioritization gap more dangerous than with ransomware. Ransomware-as-a-Service (RaaS) groups no longer choose targets at random. They look for specific technical conditions that make vulnerability exploitation easy, fast, and repeatable. With RaaS attacks rising by 45% period-over-period in H1 2026, organizations need a way to identify the specific traits that make a vulnerability attractive to ransomware operators before an attack occurs.

Flashpoint built the Ransomware Risk score into Flashpoint Vulnerability Intelligence to solve exactly this problem. Since 2022, it has rated newly discovered vulnerabilities based on how closely they resemble those known to be used in ransomware attacks. With the grant of the U.S. Patent No. 12,705,360 on August 11, 2026, the methodology behind the score is now formally patented. This milestone formalizes Flashpoint’s ability to cut through the noise with a proven, threat-informed signal that gives defenders the clarity they need to act on Day Zero.

“As vulnerability disclosures surge, prioritization is more important than ever for security teams. A severity score alone can’t tell you which vulnerabilities pose the greatest real-world risk of exploitation by ransomware actors.

Our patented Ransomware Risk model applies years of threat intelligence to that problem, giving customers an earlier signal and helping them prioritize based on how attackers actually operate.”

josh lefkowitz, co-founder and ceo at flashpoint

Under the Hood: How Flashpoint’s Patented Ransomware Vulnerability Model Works

The patented system evaluates newly disclosed vulnerabilities against the patterns shared by vulnerabilities ransomware groups have exploited. Rather than trying to predict what threat actors will do next, the model learns what past ransomware-exploited vulnerabilities have in common and compares each new flaw against those patterns.

The Four Step Process

Multi-Factor Fingerprinting

Every vulnerability ingested into Flashpoint Vulnerability Intelligence is profiled against more than 60 distinct technical factors. This “fingerprinting” links the vulnerability to key inputs including whether the flaw is remotely exploitable without authentication, whether it affects SCADA or Operational Technology (OT) systems, and its potential impact on data availability, which is central to extortion schemes.

Coordinate Mapping

The model turns each multi-factor fingerprint into a set of values that place it as a single point on a map, so vulnerabilities with similar profiles land close together.

Identifying the Ransomware Neighborhood (Cluster Check)

Flashpoint overlays historical threat data onto the map to establish neighborhoods where vulnerabilities previously exploited in real-world ransomware attacks aggregate.

Similarity and Likelihood Rating

When a new vulnerability is ingested, its coordinates are checked against these neighborhoods. The scoring system calculates its spatial proximity to known ransomware vectors and assigns a clear rating: Low, Medium, High, or Critical.

This four-step method, developed by Flashpoint’s Ben Haynes and Jacob Kouns, is the basis of U.S. Patent No. 12,705,360.

What It Means for Vulnerability Management Teams

By translating complex structural attributes into a single risk score, the patented model delivers four key operational advantages:

1. Prioritize Beyond CVSS: Leveraging the Ransomware Risk model, security teams can confidently prioritize 1.0 to 6.9 CVSS issues if its structural profile lands it in a “High” or “Critical” ransomware cluster.
2. Act on Day Zero: Because the Flashpoint model rates all vulnerabilities on disclosure, security teams gain actionable guidance immediately, eliminating the need to wait weeks for external exploitation reports.
3. Effectively Communicate Risk: CISOs can present clear, business-centric risk statements rather than abstract numerical scores.
4. Adaptive Ratings: Scores update in near real time as vulnerability details change, and the model keeps adjusting as new vulnerabilities join the set it compares against.

Comprehensive Vulnerability Intelligence Integration

Flashpoint’s Ransomware Risk model is built to enhance, not replace the vulnerability management frameworks organizations already rely on. In fact, it provides even greater value for security teams as our Ransomware Risk model provides clarity for every vulnerability detailed by Flashpoint Vulnerability Intelligence, including over 105,000 issues missed by CVE and NVD.

Within Flashpoint Ignite, security teams have a complete view of vulnerability risk, seeing the score alongside CVSS (v3 and v4), EPSS, Social Risk, and exploit maturity.

Protect Against Vulnerability and Ransomware Risk Using Flashpoint

Vulnerability management requires more than cataloging. It demands threat-informed prioritization that aligns security operations with real-world business risk. Flashpoint’s patented Ransomware Risk model eliminates guesswork by surfacing the flaws that match the profile of known ransomware targets, allowing security teams to patch what matters most, first. 

By combining proprietary knowledge of vulnerability architecture and ransomware attacks, Flashpoint bridges the gap between theoretical and active exposure. Request a demo today to see how our Ransomware Risk model provides the definitive signal needed to stay ahead of extortion groups.

Ransomware Risk FAQs (Frequently Asked Questions)

What is the Ransomware Risk score? 

The Ransomware Risk score is a rating in Flashpoint Vulnerability Intelligence that shows how closely a vulnerability resembles those known to be used in ransomware attacks. Each vulnerability is rated Low, Medium, High, or Critical, so security teams can see which ones to patch first to reduce their ransomware exposure.

How is Ransomware Risk different from CVSS and EPSS?

CVSS measures how severe a vulnerability could be, and EPSS estimates how likely it is to be exploited in general. Ransomware Risk adds a ransomware-specific signal that works alongside both, showing how closely a vulnerability matches those ransomware groups have used. In Flashpoint Ignite, all three scores appear together.

What does Flashpoint’s ransomware patent cover?

U.S. Patent No. 12,705,360, granted August 11, 2026, covers Flashpoint’s method for rating how likely a vulnerability is to be used in a ransomware event. Each vulnerability is profiled on more than 60 factors, compared with vulnerabilities used in past ransomware attacks, and rated by similarity. The patent formalizes the model behind the Ransomware Risk score, live since 2022.

How often are Ransomware Risk scores updated?

Ransomware Risk scores update in near real time, so new vulnerabilities are rated as soon as they’re disclosed. The model also keeps adjusting as new vulnerabilities join the body it compares against, so ratings reflect the ransomware landscape as it stands today.

Blogs

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Process Parameter Poisoning: Inside a Novel EDR Evasion Technique

In this post, Flashpoint analysts examine Process Parameter Poisoning—a novel EDR evasion technique we validated in Rust—and detail how abusing undocumented process parameters allows attackers to inject code and bypass standard security products.

Modern Endpoint Detection and Response (EDR) platforms have made traditional malware injection techniques significantly harder to execute. In most cases, if a threat actor attempts to write malicious code into a process, an alert will fire. However, that sense of security is being actively challenged as cybercriminals and red teams find new ways to blend malicious payloads into standard operating system routines.

Flashpoint’s Intelligence team built and tested a proof-of-concept for a newly disclosed technique known as Process Parameter Poisoning. By compiling a custom payload and layering evasion mechanics, our analysts demonstrated how easily traditional API hooks can be rendered blind in a laboratory environment—achieving zero alerts across tested EDR/XDR controls.

What is Process Parameter Poisoning?

Process Parameter Poisoning is a novel endpoint detection and response (EDR) evasion technique that combines process parameter spoofing and thread execution hijacking to inject code into foreign processes without triggering standard security detection mechanisms.

Discovered by researchers Max Hirschberger and Ogulcan Ugur, Process Parameter Poisoning is designed to inject code in foreign processes without relying on the conventional memory-manipulation workflows that modern security tooling monitors.

To execute process injection, historically security tools and threat actors alike have focused on a small set of well-known Windows application programming interfaces (APIs). Process Parameter Poisoning shifts away from these heavily watched routines entirely. Instead of calling memory-accessing APIs to allocate and write into a target process, the technique hides the malicious payload directly inside standard process initialization structures during the initial creation of a process. The result is a fundamental shift in defense evasion that effectively blinds traditional, API-hooking EDR agents during the initial stages of code execution.

How Does Process Parameter Poisoning Work?

Process Parameter Poisoning allows attackers to bypass suspicious memory-accessing Windows APIs, such as VirtualAllocEx(), WriteProcessMemory(), and MapViewOfFile2(). Security products heavily monitor these specific APIs due to their high rate of abuse in traditional process injection techniques. However, by avoiding these calls, an attacker effectively bypasses the initial primary triggers used by endpoint agents to flag malicious cross-process memory activity.

When using the Windows application programming interface (API), CreateProcessA/W(), the developer can specify parameters such as the command-line to be executed by the new process, environment variables for the new process, current working directory for the process, window title if it is a console application, create a hidden window, create the process in a suspended state, etc. Many of these parameters are passed into CreateProcessA/W() via the STARTUPINFOA/W structure.

Some entries are undocumented and labeled “reserved” by Microsoft. The discovering researchers found that data stored in STARTUPINFO->lpReserved ends up in the Process Environment Block once the new process is initialized in an entry called “ShellInfo.” Below is an example of placing data into the STARTUPINFOW->lpReserved entry in a test application and the data stored in ShellInfo while debugging the newly created process.

†

Validating Process Parameter Poisoning in Rust

Flashpoint analysts created a proof-of-concept (POC) in Rust to test this technique based on the POC C++ source code provided by the researchers:

1. First the necessary data structures are initialized and the shellcode is passed into the STARTUPINFO->lpReserved field.
2. The target process is created with the infected STARTUPINFO and then a short wait to let the program initialize.
3. NtQueryInformationProcess() is used to acquire PROCESS_BASIC_INFORMATION about the newly created process.
4. The PROCESS_BASIC_INFORMATION structure has an entry called PebBaseAddress that provides the location of the process’s Process Environment Block.
5. NtReadVirtualMemory() is used to read the memory address provided by PebBaseAddress to get the PEB for that process.
6. The PEB has an entry called ProcessParameters that holds the structure RTL_USER_PROCESS_PARAMETERS and is where the ShellInfo entry mentioned earlier is stored.
7. NtReadVirtualMemory() needs to be used again to read the RTL_USER_PROCESS_PARAMETERS structure and get the address of the ShellInfo.Buffer entry.

Flashpoint confirmed that after changing the memory to have executable permissions, the threat actors can perform thread hijacking by using GetThreadContext() to acquire information about the current running thread, change the instruction pointer to point to the ShellInfo.Buffer address, and then SetThreadContext() to apply the changes and execute the shellcode.

Flashpoint analysts further confirm that this technique also works with the WindowTitle entry, CommandLine entry using the same series of steps.

The technique also works with the Environment entry but requires additional steps. Environment blocks require a variable name and the variable data separated by an “=.” Environment blocks can contain multiple variable entries in which each entry is ended with a null terminator. Two null terminators are necessary to denote the end of the environment block. This means the payload needs to be embedded in a longer string with a “{NAME} = {VALUE}” format.

Flashpoint analysts note that four null terminators were appended to the shellcode bytes to denote the end of an environment block in Unicode. The resulting payload buffer is then passed into the lpEnvironment variable of CreateProcessW() along with the CREATE_UNICODE_ENVIRONMENT creation flag.

The rest of the process remains the same as reading the PEB and RTL_USER_PROCESS_PARAMETERS structure. The Environment entry is read, but at the offset of the embedded shellcode within the poisoned environment block string. Because four bytes were added to the beginning of the shellcode to make the Unicode environment block, execution needs to begin after four bytes from the beginning of the buffer to begin executing at the shellcode.

Flashpoint notes that the shellcode requires no NULL bytes, and, if using the PAGE_EXECUTE_READ flag, it cannot overwrite itself. This means automated shellcode generators such as MSFVenom might not work either because they contain NULL bytes or use encoders that perform memory writes during execution. Flashpoint analysts wrote custom shellcode to further test this technique. The shellcode downloads and executes an additional payload. The combination of this technique, custom shellcode, and the use of Rust as the programming language proved successful in minimizing initial static detections by security software.

Flashpoint tested this technique with a commonly-used open source EDR platform. The EDR platform itself failed to produce any alerts from executing the malicious binary. However, the XDR component blocked on the initial creation of a new process and COM interactions by the second stage payload.

Flashpoint analysts then combined this technique with the DLL unhooking technique and applied the non-Microsoft block DLL policy during the creation of the sacrificial process. Analysts observed no blocks from the XDR during execution and observed no alerts on the platform.

Associated MITRE ATT&CK

Tactic	Technique ID	Technique Name
Stealth	T1055	Process Injection
Stealth	T1055.003	Process Injection: Thread Execution Hijacking
Stealth	T1564.010	Hide Artifacts: Process Argument Spoofing

Security teams can leverage several detection strategies to identify Process Parameter Poisoning, though each approach carries distinct limitations:

• Analyzing Parameter Entropy and Argument Spoofing (MITRE ATT&CK T1564.010): Security tools can inspect initialization strings within process structures for unusually high entropy, which often indicates the presence of obfuscated or raw binary shellcode embedded within parameters.
• Monitoring Thread Execution Hijacking (MITRE ATT&CK T1055.003): Analysts can monitor for thread context manipulation; however, because Process Parameter Poisoning does not invoke explicit thread suspension or resumption APIs, specific detection rules that depend on those parameters will fail to trigger.
• Detecting Code Execution in Abnormal Memory Locations (MITRE ATT&CK T1055): Detections can flag execution attempts taking place outside the standard executable section, particularly when code executes directly within Process Environment Block (PEB) parameter buffers.
• Auditing Memory Permission Modifications: Tracking instances where memory region permissions are altered to executable states can reveal payload staging. However, enterprise security controls often tune down or avoid these specific alerts due to high volumes of false positives in normal software operations.

Stay Ahead of Process Parameter Poisoning Using Flashpoint

Process Parameter Poisoning demonstrates another advancement in stealthy process injection and the constantly evolving research into evading security products. By using the previously unknown purpose of the lpReserved field within the STARTUPINFOW structure to house shellcode, this technique bypasses standard security product triggers associated with common memory-allocation APIs. While this proof-of-concept was proven successful in lab testing, the technique has multiple opportunities for detection and will most likely require a combination of additional evasion techniques to achieve a higher success rate.

As threat actors continue to refine technique-stacking and exploit overlooked Windows internals, relying on traditional API hooks is no longer enough to protect your enterprise. Staying ahead of modern evasion mechanics requires proactive intelligence and deep visibility into emerging adversary TTPs.

Request a demo today to see how best-in-class threat intelligence can help security teams detect, prepare for, and neutralize advanced defense evasion techniques before they impact your network.

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Cybercrime at Machine Speed: Key Takeaways from Flashpoint’s 2026 Midyear Threat Intelligence Briefing

Threat actors are no longer just using automation to execute tasks, they are leveraging prepackaged, safeguard-free AI, weaponizing stolen session data, and directly targeting defenders’ security stacks.

In our latest webinar, Flashpoint Vice President of Intelligence, Ian Gray, briefed security leaders on the evolving threat environment, providing critical insights from the Flashpoint Global Threat Intelligence Report (GTIR): 2026 Midyear Edition.

The threat landscape has developed at a striking pace with Flashpoint tracking over 22 million illicit AI discussions, 7.4 million compromised hosts yielding 1.7 billion stolen credentials, and over 21,600 disclosed vulnerabilities in just six months. Beyond these staggering numbers, the on-demand session detailed something even more alarming: a fundamental shift in adversary operational tradecraft.

Here are the five critical shifts every cyber threat intelligence (CTI), Vulnerability Management, and SOC team needs to know.

The Death of Signal: Threat Actors are Shifting to “Private AI”

The public discussion surrounding criminal artificial intelligence (AI) has reached a critical inflection point. Early in the AI boom, Flashpoint observed threat actors collaboratively experiment across underground forums, jailbreaking commercial frontier models or advertising surface-level tools like WormGPT and DarkGPT.

Today, adversaries are shifting from public forums to running fine-tuned, open-source models locally on private servers, which greatly hampers traditional signature-based detection. Flashpoint analysts are now seeing attackers generate unique, highly tailored malware variants, flawless phishing lures, and custom exploit scripts at extremely low costs—completely offline and shielded from public monitoring.

“A few months ago, a lot of this was collaborative… public outsourcing. Now what we’re seeing is scarier: pre-packaged cybercrime models run locally on private infrastructure. Malicious code, exploit scripts, and targeted phishing are all being generated inside closed environments.”

Ian Gray, VP of Intelligence, Flashpoint

Weaponizing the Defender’s Own Tooling

Another eye-opening tactical insight shared during the session was how threat actors are repurposing defender infrastructure for automated initial access and extortion. In the webinar, we pointed to recent campaigns where adversaries specifically targeted misconfigurations and zero-day vulnerabilities inside open-source vulnerability scanners, secrets-detection tools, Kubernetes clusters, and Infrastructure-as-Code(IaC) environments.

What this means for defenders is that the attack surface is no longer bounded by traditional enterprise network boundaries: it extends directly into CI/CD pipelines, security orchestration tooling, and third-party SaaS integrations. Security teams are finding themselves in a race against attackers who use automated scanning scripts to weaponize vulnerabilities in the security tools themselves.

The Global Infostealer Threat and Identity-First Attacks

Flashpoint tracked 7.4 million hosts compromised by infostealers in H1 2026—a 27% increase period-over-period—harvesting 1.7 billion credentials and identity information.

While the top infostealer strains remain familiar, law enforcement operations have created vacuums that competitors rapidly fill.

Threat actors are leveraging drive-by downloads, watering holes, and pirated software packages to plant stealers. Once a machine is compromised, the logs capture corporate SSO credentials, active browser cookies, VPN keys, and SaaS session tokens. This enables adversaries to simply log in without having to leverage complex technical exploits.

The Structural Failure of CVE/NVD and the Importance of KEV

The Common Vulnerabilities and Exposures (CVE) and National Vulnerability Database (NVD) have failed to keep pace with the velocity of AI-assisted vulnerability discovery. As such, vulnerability management teams are facing significant operational delays.

Metric	Flashpoint GTIR Midyear H1 2026 Data	Operational Impact
Total Disclosures	21,667	Remediation volume exceeds defender bandwidth.
Exploit Availability	19% (4,015 CVEs)	Functional code is ready before patches are deployed.
Public Catalog Lag	Growing Backlog (NVD/KEV)	Delay in official scoring leaves teams blind to active risk.

Therefore, waiting for NVD enrichment before prioritizing a patch is a dangerous strategy. To compensate, security teams require Vulnerability Intelligence (VI) that provides primary-source confirmation of weaponization, exploit availability, and actionable mitigation guidance long before public databases update.

Ransomware Evolution: From Encryption to Cloud Extortion

Ransomware-as-a-Service (RaaS) activity surged by 45% period-over-period, reaching 6,256 verified victim postings on data leak sites. However, total on-chain payout revenue dropped by 8% to $820 million, with victim pay-rates hitting a record low of 28%.

Faced with declining payouts and resilient enterprise backups, extortion syndicates are adapting. Rather than relying exclusively on technical file-encrypting malware, groups are executing pure data extortion campaigns—frequently targeting cloud platforms or extracting data through third-party vendor access.

Protect Your Organization Using Flashpoint

Defending against machine-speed attacks requires moving beyond reactive, post-incident telemetry. Flashpoint arms security, CTI, and vulnerability management teams with the primary-source intelligence required to preempt adversary operations:

• Unrivaled Deep & Dark Web Visibility: Flashpoint’s Primary Source Collection actively monitors closed criminal communities, illicit Telegram channels, and private forums, giving you early warning when threat actors build custom AI toolkits or trade credentials targeting your organization.
• Comprehensive Vulnerability Intelligence (VI): Flashpoint tracks zero-days and vulnerability disclosures independently, delivering immediate exploit availability data and threat-informed prioritization so you patch what actually matters.
• Continuous Compromised Credential Monitoring: Instantly surface exposed enterprise credentials, active session tokens, and stealer logs tied to your domain or third-party supply chain before they lead to an account takeover (ATO).

Request a demo, or watch the full on-demand webinar to explore the data shaping today’s risk landscape.

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The Evolution of Hacktivism in Hybrid Warfare: Modern Tactics and Real-World Impact

In this post we examine how modern hacktivism has evolved into a tool of global hybrid warfare, analyzing crowdsourced attack tactics, media-driven propaganda, and real-world impacts across Ukraine, the Middle East, European Union, and NATO nations.

Hacktivism used to be perceived as digital graffiti, with lone-wolf threat actors defacing government websites or temporarily crashing banking portals to make a political point. However, Flashpoint is tracking a fundamental shift in how these groups operate.

Modern hacktivism is evolving into a disciplined component of global hybrid warfare, capable of bridging digital disruptions with tangible real-world impact. Today, these operations blur the line between volunteer activism and coordinated state interest, leveraging crowdsourced infrastructure to disrupt critical utilities, manipulate media narratives, and target public infrastructure on a global scale. Unpacking these modern hacktivist collectives reveals what their tactics look like in practice and their far-reaching consequences across dozens of nations.

What is Hacktivism?

Hacktivism is the use of cyberattacks to promote or advance a particular political or social cause, leveraging a wide range of tactics such as website defacement, distributed denial-of-service (DDoS) attacks, and data breaches. Modern hacktivist collectives serve as the loud, high-visibility arm of cyber conflict—frequently aligning with state geopolitical interests, as seen most prominently in recent pro-Russian operations and Iranian-aligned cyber campaigns.

These pro-Russian hacktivist groups, such as NoName057 and Killnet, alongside pro-Iranian collectives and proxy ecosystems like Handala Hack, often react to the news cycle and target countries designated by state media or ideological narratives as enemies. As such, modern hacktivist campaigns are opportunistic and tied to global events—from the escalation in the Middle East following military operations like Operation Epic Fury, to the Milan-Cortina Winter Olympics and new aid packages to Ukraine. These groups’ justification narratives typically mirror state messaging.

Modern Tactics: Gamifying Cyber Warfare

In tracking modern hacktivist groups, Flashpoint analysts identified a new method these groups are utilizing to convert ordinary devices into tools for hybrid warfare—the gamification of cyberattacks. Flashpoint has observed groups like NoName057 turning DDoS attacks into community-based “patriotic online games,” such as their “DDoSia Project,” with participants earning military-style ranks and cryptocurrency rewards for overloading the websites of government institutions, banks, and various infrastructure across various countries.

This model has enabled the scaling of operations by utilizing a large, low-skilled participant base rather than having to rely on sophisticated technical tradecraft. The model’s decentralized structure and ideological appeal continue to pose a significant challenge for international law enforcement.

The Propaganda Engine: Media Amplification and Validation

Beyond technical disruptions, publicity is the primary currency of modern hacktivism. Hacktivist groups demonstrate a consistent pattern of media-seeking behavior and self-promotion, likely intended to amplify their perceived impact and reinforce notoriety within the broader cyber threat landscape. Many of these groups repeatedly repost media coverage and news articles referencing themselves.

This serves as a curated self-promotion mechanism, allowing the group to selectively showcase external validation of its operations, including coverage from mainstream and security-focused outlets, to its followers. This behavior aligns with a broader trend observed with especially pro-Russian hacktivist collectives, in which media visibility is treated as a measure of operational success independent of verified technical impact. It also serves as a deliberate tactic for engagement and recruitment that reinforces “patriotic” branding and sustains participant morale and visibility.

Beyond Propaganda: Aligning Cyber Disruption with Military Objectives

In some cases, the digital targeting of hacktivist collectives is more aligned with kinetic objectives, rather than public perception or propaganda initiatives. This is especially true for Iranian-aligned hacktivists and proxy groups who are more deeply intertwined with military operations in the Middle East. These groups have expanded their operations from website disruptions into claims of large-scale data wipers, extortion, and cyberattacks targeting key infrastructure across the Gulf.

The Far Reach of Modern Hacktivism

Major geopolitical flashpoints in the Middle East have triggered waves of hacktivist activity that has spread across North America, with threat actors targeting supply chains, financial infrastructure, and operational technology and control systems.

Simultaneously, pro-Russian hacktivist groups, particularly NoName057, have been extremely prolific within the last year—carrying out two major illicit campaigns heavily targeting Ukraine, which then spilled over to more than 30 nations globally. The following breakdown contains statistics and targeting dynamics of pro-Russian hacktivist groups observed between July 2025 and 2026:

The Continuous Campaign Against Ukraine

Ukraine has been the primary target for pro-Russian hacktivist groups who seek to damage Ukrainian infrastructure and morale. Anti-Ukrainian content is constantly distributed through dedicated per-language channels, making it the most linguistically developed target spanning six languages. Involved channels each post near-identical translated content within minutes to hours of the Russian original, down to the same image file with identical SHA1 hashes, which suggests a sustained propaganda distribution operation.

This has resulted in alleged data breaches impacting Ukrainian General Staff, military enlistment offices, medical, and morgue databases to push a casualty-count narrative. It also has resulted in the defacement or disruption of websites of regional capitals and administrative centers, energy plants, water and power-adjacent infrastructure, and many more.

Spilling Over: Impact Across EU and NATO Allies

However, Ukraine is not the sole casualty of modern hacktivism. Recent pro-Russian hacktivist campaigns have spread to other EU nations and NATO members. Germany, the United Kingdom, and Spain have been observed to be priority targets, with threat actors targeting public transportation, federal and security agencies, municipal government and utilities, financial markets, and other infrastructure. In some cases, hacktivist campaigns manifest in the real-world, with physical sticker drives on municipal streets, alongside doxxing operations releasing alleged personal data and automated scans hijacking exposed CCTV camera systems across Europe.

Defend Against the New Wave of Hacktivism Using Flashpoint

As hacktivist operations continue to blur the boundary between digital disruption and real-world interference, organizations can no longer view DDoS attacks or low-level intrusions as simple background noise. Protecting critical assets requires proactive visibility into threat actor networks, early detection of targeting narratives, and primary source threat intelligence.

Request a demo today to see how Flashpoint provides actionable intelligence to help security teams, government agencies, and infrastructure providers identify, monitor, and mitigate emerging hacktivist campaigns before they impact operations.

Blogs

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Insider Threat Report: Dark Web Recruitment & Access Trends

Flashpoint’s monthly analysis of insider threat recruitment, illicit access advertising, and threat actor activity targeting enterprise environments.

Blogs

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Navigating AI-Driven Cyber Threats: Insights from Flashpoint’s 2026 GTIR Midyear Edition

In this post, we preview the critical findings of Flashpoint’s Global Threat Intelligence Report: 2026 Midyear Edition.

In the first half of 2026, the global threat landscape reached a clear operational inflection point: threat operations have fundamentally transitioned from human-led campaigns to machine-speed, AI-driven exploitation. As threat actors gain commoditized access to open-source AI technologies and actively deploy automated, safeguard-free tooling locally on private infrastructure, organizations face an accelerating hybrid risk environment.

Flashpoint’s Global Threat Intelligence Report: 2026 Midyear Edition

The Flashpoint Global Threat Intelligence Report: 2026 Midyear Edition anchors security leaders—from threat intelligence, vulnerability management, to executive leadership—in the data required to navigate this evolving threat landscape. Covering the period from January 1 to June 30, 2026, the report delivers timely insights backed by Flashpoint’s proprietary primary-source collection from over 3.9 petabytes of continuously monitored illicit sources.

Our midyear findings reveal several key metrics that highlight the speed and scale of the H1 2026 threat landscape:

• 22M+ threat actor posts discussed, shared, or advertised artificial intelligence toolkits for criminal deployment.
• 1.7B credentials and identity data points extracted across more than 7.4M unique compromised hosts globally.
• Nearly one-in-five (19%) of all vulnerability disclosures dropped with ready-made, functional exploit code.
• 45% period-over-period surge in Ransomware-as-a-Service (RaaS), with total victim volume reaching 6,256 even as victim payout rates dropped to a historic low of 28%.

Download the Flashpoint Global Threat Intelligence Report: 2026 Midyear Edition to gain:

1. A Clear Understanding of the Convergence Between AI and Cyber Threats
   From generating flawless phishing campaigns to automating vulnerability scanning and code obfuscation, discover how adversaries are optimizing for speed and cost-efficiency — utilizing AI as a force multiplier in their various illicit campaigns.
2. A Comprehensive Top-Down View of the Evolving Threat Landscape
   Gain full visibility of the threat landscape with Flashpoint’s primary-source collections and real-time threat intelligence.
3. Strategies for Proactive Defense and Risk Mitigation
   Move your organization beyond reactive incident response by leveraging Flashpoint’s comprehensive threat intelligence. Gain the foresight needed to strengthen defenses and optimize your security posture.

“AI is compressing the time between opportunity and exploitation. Capabilities that once took significant expertise, coordination, and time to develop are becoming faster to build, easier to scale, and harder to detect. Security teams are facing an adversary ecosystem that can use AI to iterate at unprecedented speed — the only way to keep pace is with primary-source intelligence that surfaces adversary behavior before attacks unfold.”

Josh Lefkowitz, Flashpoint Co-Founder & CEO

The Four Driving Themes Shaping the 2026 Threat Landscape

Artificial Intelligence (AI) Threats

During the first half of 2026, Flashpoint captured over 22M illicit posts discussing or advertising AI for criminal-related activities. By stripping ethical safeguards, custom malicious LLMs allow unsophisticated threat actors to automate complex phases of the attack lifecycle, including target profiling, malware evasion script creation, and zero-day exploit generation.

Information-Stealing Malware Threats

Infostealer malware harvested 1.7 billion credentials across 7.4 million compromised systems in H1 2026 alone, turning digital identity into the main entry point for enterprise intrusions.

Vulnerability Intelligence and Patching Management

19% (4,015) of all H1 2026 vulnerability disclosures arrived with ready-made exploit code. Adversaries deploy automated replication scripts almost immediately upon disclosure, eliminating manual remediation windows.

Ransomware Operations, Multi-Extortion Cartels, and Financial Risk

Despite a 45% surge in victim volume (6,256 overall), total on-chain revenue fell by 8% to $820M. Improved enterprise backups and incident response have driven payout rates down to 28%, prompting syndicates to demand larger sums from paying victims.

Proactive Security in 2026 and Beyond

The data shows that traditional enterprise security organizations are struggling to keep pace with modern threat cycles that are accelerated by illicit uses of AI. This continued convergence of AI engines and initial access vectors have further compressed attack timelines, making it nearly impossible for security teams to defend against them—especially if they are limited by traditional approaches to threat intelligence.

Equipping your team with primary-source threat intelligence is critical for protecting critical assets in 2026. Download the Flashpoint Global Threat Intelligence Report: 2026 Midyear Edition to gain the visibility and strategic clarity required to defend your organization.