StopAndProtect turned nearly 2,000 hacked WordPress sites into a criminal network for malware delivery, data theft, surveillance and ransomware. Check Point Research uncovered a cybercrime operation, dubbed StopAndProtect, that has turned thousands of hacked WordPress websites into a shared platform for malware delivery, data theft, surveillance and ransomware. The operation is a good reminder that a compromised website isn’t just a problem for its owner. It can become part of someone else’s attack infrastructure. “StopAndProtect is a newly identified operation that combines file encryption with data theft. The criminals abuse thousands of hacked WordPress websites as their infrastructure – using them to spread the malware, control infected machines, and store stolen documents, screenshots, and activity logs (records created by malware to track its actions, progress, or status during execution).” reads the report published by Check Point. Researchers first identified the campaign in May 2026. The operation starts with a fake CAPTCHA based on the ClickFix technique: visitors are told to prove they’re human, but the instructions actually push them into copying and running a PowerShell command. From there, the infection unfolds through several downloaders and loaders before deploying different malware components. StopAndProtect uses a toolkit of different malware rather than a single strain. Its components can encrypt files, steal documents, lock screens and even provide attackers with a chat channel to communicate with victims. That last point is important because StopAndProtect doesn’t always behave like traditional ransomware. In many cases, the operators first collect file lists and then choose specific files to steal. Encryption or screen locking may come later, depending on what the attackers find and what they want to do with the victim.research. The criminals used compromised WordPress sites for several jobs at once. The sites hosted malware stages, delivered commands, received logs and stored stolen files. Check Point discovered this because one of the servers exposed a directory listing through a PHP script, revealing more files, logs and open folders than the operators probably intended. The campaign appears to have reached close to 2,000 compromised WordPress domains. Many of the sites were running old versions of WordPress or outdated plugins, and one site examined by researchers was still using a 2021 version with almost 40 known weaknesses, including SQL injection, authentication bypasses and arbitrary file upload issues. “In one scenario, we suspect that the malware operator infected themselves and accidentally uploaded some of their desktop files to the collection server. This archive contains the source code of an automation tool for managing injected payloads at scale on compromised WordPress sites.” continues the report. “It also contains a few text files listing close to 2,000 compromised WordPress domains, giving us a hint about the size of the operation.” continues the report. The infection chain is straightforward enough to understand, even if it becomes more complex after the first step. A visitor sees a fake CAPTCHA, follows the instructions, runs PowerShell, and downloads further stages written in .NET. The malware can then encrypt files, spread through SMB shares and USB devices, steal credentials, capture screenshots, collect selected documents or show a ransom message. “We first noticed a ransomware family called StopAndProtect in the middle of May 2026. Further analysis of the infrastructure reveals that the infection chain starts with a ClickFix social-engineering technique, which prompts victims to execute a PowerShell command. This leads to two stages of additional downloaders and loaders written in .NET, followed by several main functional components, such as ransomware, SMB/USB worm, LockScreen, VBS spreader, chat utility and credential stealer.” continues the report. “Although the name StopAndProtect was originally given to the ransomware component, we decided to call the whole operation StopAndProtect, as it does not deploy ransomware on all its victims. In many cases, the attackers silently exfiltrate lists of files and later specific files from the infected machines.” The operators also built tools to manage the infected websites at scale. Check Point found an automation utility that could upload and delete files, enable or disable fake CAPTCHA pages, change redirects and manage additional payloads across the compromised sites. It was written with Visual Basic 6, a technology old enough to have a pension plan, but apparently still useful when the job is mass-managing hacked servers. The campaign also collected a remarkable amount of victim information. From mid-May to the end of July 2026, researchers found more than 700 archives containing stolen files, passwords, wallet information, screenshots and activity logs. One exposed directory held more than 20,000 screenshot files, while the researchers collected roughly 31,000 screenshots during the monitoring period. Some of the captured images showed victims’ desktops, browser activity, antivirus windows, ransom messages and lists of encrypted files. The malware could also monitor WhatsApp activity, search for a contact name and capture the person’s details, including a phone number. That moves the campaign well beyond file encryption: it becomes a surveillance operation with a ransomware component attached.research. Check Point counted more than 6,000 unique IP addresses associated with the campaign by 24 July 2026. The largest groups came from the United States, Russia and India, although IP location does not necessarily identify the victims’ real location or the operators behind the operation. The WordPress side of the story is familiar. Sites are compromised because owners don’t update the core platform, plugins or themes, or because administrative accounts are protected badly. Once attackers obtain access, they can install hidden must-use plugins that load automatically and create file-upload functions capable of accepting PHP files, which may lead to remote code execution. For website owners, the basic response is still the right one: update WordPress and every plugin, remove anything unsupported, protect administrator accounts with strong passwords and multi-factor authentication, review installed plugins and check for unexpected PHP files or unfamiliar administrator accounts. Web server logs, outbound connections and recent file changes deserve particular attention if a site may have been compromised. For visitors, the warning is more specific. A CAPTCHA should not ask someone to open PowerShell, paste a command into a terminal or disable security controls. If a webpage tells you to leave the browser and run instructions on your computer, close it. The CAPTCHA isn’t testing whether you’re human. It’s testing whether you’ll do the attacker’s work for them. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, WordPress)
Cybersecurity researchers have disclosed details of a critical flaw in the Elementor Pro WordPress plugin that, if successfully exploited, could lead to remote code execution. The vulnerability, tracked as CVE-2026-32475, carries a CVSS score of 9.0 out of 10.0. It has been described as a case of unrestricted upload of a file with a dangerous type. "The flaw lives in the Forms module's File
U.S. cybersecurity agencies warn that threat actors are using AI-generated scripts to exploit Siemens S7 Series programmable logic controllers (PLCs) in U.S. critical infrastructure. PLCs are industrial computers used to automate and control machinery and physical processes in factories and other critical infrastructure. The NSA, CISA, FBI, Department of Energy, and Environmental Protection Agency issued the joint advisory Wednesday, saying the attacks are ongoing. "This advisory relates to an active threat to Siemens S7 Series programmable logic controllers (PLCs)," reads the advisory. "However, ongoing PLC targeting activity is broader than Siemens PLCs. All PLC owners and operators should apply relevant mitigations to reduce the risk to their devices and systems." The critical infrastructure sectors most targeted include Critical Manufacturing, Energy, Water and Wastewater Systems, Chemical, Food and Agriculture, and Commercial Facilities. The agencies also note that Siemens S7 PLCs are used in the Defense Industrial Base, which could also be targeted.
Microsoft has reminded customers that systems running Home and Pro editions of Windows 11 24H2 will stop receiving updates in two months. "On October 13, 2026, Windows 11, version 24H2 Home and Pro editions, and Windows 10 Enterprise LTSB 2016 will reach end of updates," Microsoft warned in a message center update. "After this date, devices running these editions will no longer receive monthly security and non-security preview updates containing protections from the latest security threats." However, according to its support website, Windows 11 24H2 Enterprise and Education editions will remain under mainstream support until October 2027. Customers are advised to upgrade to Windows 11 25H2 (also known as the Windows 11 2025 Update), which has become generally available in September 2024 as a minor update installed through an enablement package.
Over 50,000 exposed Stripe API keys show how leaked secrets can enable fraud, data access and account abuse within hours. Ransomnews researchers have documented a large-scale leak of Stripe merchant API keys found exposed in public code repositories, GitHub Actions logs, and misconfigured web servers, with over 50,000 unique keys identified in total. The research is practical rather than theoretical: the team tested a sample of the keys, found a meaningful portion still active, and documented exactly how quickly a fraudster could exploit them. The answer is fast. “A dataset published on a data-trading forum on 18 August 2026 contains live Stripe API keys for 659 merchant accounts, along with roughly 35 GB of customer and payment data pulled from them.” reads the report published by Ransomnews. “Ransomnews analysed the files offline and reported the exposure to Stripe before publishing. Stripe itself was not compromised. The keys belong to merchants.” Researchers said that after finding an active Stripe API key, they were able to access a merchant’s customer list, create a fraudulent payment link and make a $1 test charge within 17 hours. The key alone was enough to perform these actions, highlighting the risks of exposed credentials and insufficient API protections. The operations a live Stripe secret key unlocks are extensive: listing customers and their stored payment methods, creating charges and payment intents, issuing refunds to attacker-controlled accounts, modifying webhook endpoints to intercept future payment notifications, and in some cases accessing connected accounts if the merchant had enabled Stripe Connect. A secret key is not a partial credential. It’s full API access. The sources of the leaked keys are unsurprising to anyone who has done developer security work. GitHub repositories — both public and accidentally made public, account for the largest share, typically through hardcoded keys in configuration files, .env files committed without a corresponding .gitignore entry, or keys left in code comments. GitHub Actions build logs are the second major source: when a workflow prints environment variables for debugging, any secret that wasn’t properly masked ends up in a log that anyone with repository access can read. Misconfigured web servers are another major source of exposed Stripe API keys. Researchers found over 3,000 servers revealing Stripe-related strings, with about 12% containing keys that worked against the Stripe API. The source of the 659 exposed merchant keys is unclear, but likely includes infostealer logs, public repositories, exposed environment files and misconfigured backups. The collector’s real advantage was systematically validating the keys, accessing each account and organizing the stolen data. “The dataset doesn’t say, and we are not going to guess at a single source for 659 separate merchants. The realistic candidates are the ordinary ones: secret keys sitting in infostealer logs lifted from developer machines, keys committed to public repositories, keys left in exposed environment files, keys pulled out of misconfigured backups. Stripe’s own documentation says the company scans for exactly this, and describes finding merchant keys on repositories and package registries.” concludes the report. “What the collector added was patience. Gathering keys is common. Validating several hundred of them, then systematically walking the API for each account and archiving the results into a consistent folder structure, is a different level of effort.” Stripe does provide automatic secret scanning through GitHub’s partner program, which flags Stripe keys found in public repositories and can trigger automatic revocation when a merchant opts in. The problem is that opt-in rate is low, the scanning doesn’t cover private repositories, and it has no coverage over build logs, web server misconfigurations, or other platforms where keys surface. Ransomnews also found that some merchants had rotated their keys after a GitHub exposure but left the old keys active, possibly because Stripe doesn’t revoke keys on rotation unless you explicitly delete the old one. The remediation is not complicated. Audit your current Stripe keys against your version control history to see if any have ever been committed. Rotate any key that has touched a public repository, a build log, or a configuration file that wasn’t explicitly protected. Enable Stripe’s restricted keys for any integration that doesn’t need full account access — a webhook handler doesn’t need the ability to create charges. And enable Stripe Radar rules to flag unusual charge patterns that might indicate someone else is using your key before you’ve noticed it’s gone. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, data leak)
Cybersecurity researchers have flagged a global cybercrime operation that abuses thousands of hacked WordPress websites as infrastructure to disseminate malware, commandeer infected hosts, store stolen documents, screenshots, and activity logs created to track the status of the activity. "The operation doesn't rely on a single piece of malware, but on a whole toolkit of criminal software
A JavaServer Pages (JSP) web shell deployed following the exploitation of a critical security flaw in PTC Windchill and FlexPLM servers is specifically designed for the enterprise Product Lifecycle Management (PLM) software, according to new findings from ReliaQuest. The cybersecurity company characterized the web shell as a fully equipped extortion platform capable of mapping sensitive vault
Researchers tested 31 million patterns to disrupt surveillance AI, with promising results but significant gaps between simulation and real-world use. The Kansas City-based cybersecurity researcher Bill Swearingen spent the past year doing something that sounds almost too simple to work: printing patterns, watching cameras fail to detect them, and repeating. TechCrunch reports that after roughly 31 million tests, he can now generate patterns on demand that block license plate readers and surveillance cameras from recognizing whatever the pattern covers, whether that’s a person or a vehicle. The project is called noRecognition, and the core idea isn’t stealth in the traditional sense. The camera still records everything just fine. What breaks is the detection layer sitting on top of the footage, the software that flags license plates, tracks faces, or spots “activity of interest” across thousands of hours of video. Swearingen’s patterns don’t hide you from the lens; they make the algorithm looking through that lens shrug and move on. Swearingen, co-founder of the SecKC meetup, said his project started for personal reasons. He became concerned about the growing number of surveillance cameras in his town and the possibility of being tracked while attending a protest. What started as a simple experiment later became a reinforcement learning system. He taught the model to create patterns, learn from failures and keep improving. Over time, it learned how to avoid detection by several camera systems. Every time a pattern failed and got detected, the system adjusted and tried again, eventually learning to defeat multiple detection algorithms simultaneously rather than just one at a time. The research dashboard behind the project, published at sandbox.norecognition.org, goes considerably deeper into the numbers than the headline claim suggests, and it’s refreshingly upfront about what’s proven versus what isn’t. The team states its overall objective plainly as “one pattern that defeats every detector,” and by their own account that goal remains only partially met. Their strongest validated result against a detector extracted directly from a real deployed surveillance camera sits at 61.7% non-detection across held-out test subjects, a solid number, but nowhere near total, and still a digital simulation rather than a real-world fabric test. That distinction matters more than it might seem. Most of the dashboard’s headline figures are explicitly labeled as digital, simulated results, meaning the pattern was tested against a virtual camera and printed ink model rather than an actual garment photographed by an actual camera in the field. The gap between “works in simulation” and “works when Donut Media wraps a real 2009 Toyota Yaris in it,” which is the physical test Swearingen ran live at DEF CON, is exactly the gap this kind of research has to close before anyone should treat it as a reliable, everyday privacy tool. “On Friday at the Def Con cybersecurity conference in Las Vegas, Swearingen ran his first real-world test. With help from Donut Media, the test involved covering a 2009 Toyota Yaris with one of Swearingen’s newest patterns to see if the car would be invisible to detection by a Flock camera.” reports TechCrunch. “We proved it was effective,” said Swearingen, though the wheels were a challenge. The video of the demo will be out in the next few weeks, said Donut Media.” That DEF CON demo is where things got concrete. Swearingen covered a car in one of his newest patterns and tested it against a Flock Safety camera, the kind widely deployed for automated license plate reading across the US. He said the test proved effective, though the vehicle’s wheels turned out to be a persistent weak point, curved surfaces apparently don’t cooperate with flat printed patterns the way a car door does. Source Tech Crunch – A photo of a 2009 Toyota Yaris at the Def Con conference in Las Vegas, covered in a pattern made by Bill Swearingen, as part of a test to see if it can defeat surveillance camera detection. Image Credits:Bill Swearingen / Donut Media Swearingen is not publishing his best patterns because he does not want camera makers to easily find and block them. Instead, he is using crowdfunding to develop and sell printed products such as T-shirts and hoodies, with vehicle wraps possibly coming later. It is still unclear whether the project will become a practical privacy tool for everyday users or remain mainly a DEF CON demonstration. Its real effectiveness will depend on how well the patterns work on real clothing, in different weather and camera conditions. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, Surveillance camera)
GitLab patched a critical GraphQL flaw that let unauthenticated attackers remotely modify or delete public projects on self-managed servers. GitLab pushed out an emergency patch this week to address a critical flaw, tracked as CVE-2026-19478 (CVSS score of 9.4), that could let an attacker with zero credentials remotely modify or delete public projects and user data. “GitLab has remediated an issue that under certain conditions could allow an unauthenticated user to remotely modify or delete public projects and user data via a GraphQL directive.” reads the advisory. GitLab issued an emergency patch on August 17, five days after its regular update. The vulnerability impacts only self-managed installations, users should upgrade to versions 19.2.4, 19.1.6, 19.0.8, and 18.11.11. There’s a gap worth flagging for anyone still sitting on an older release. The available patches don’t cover the 18.2 through 18.10 branches, even though those versions technically fall inside the affected range. If you’re running anything in that window, staying put isn’t really an option; you’ll need to upgrade to a patched branch entirely rather than waiting for a fix that isn’t coming for your current one. hiimguardian reported the flaw through the company HackerOne bug bounty program. A second, less severe issue shipped in the same release. CVE-2026-19650 (CVSS score of 7.1), involves a cross-site request forgery weakness in how GitLab’s GraphQL handles multiplex queries, letting an unauthenticated attacker trigger mutations through GET requests due to improper validation. Unlike the critical flaw, this one needs a victim to actually interact with something, so it’s a real risk but a considerably narrower one. There’s no evidence either bug has been exploited in the wild yet, and no public proof-of-concept code has surfaced as of publication. That’s the good news. The less comforting part is GitLab’s own disclosure policy: full technical details typically go public on the company’s issue tracker 90 days after the patching release, which puts a working understanding of exactly how this bug functions squarely in mid-November, plenty of time for someone motivated enough to reverse-engineer the patch diff themselves before then. This is not the first serious GitLab issue in recent months. Last month, researchers released working exploit code for another remote-code-execution flaw affecting self-managed servers. Organizations running GitLab on their own infrastructure should therefore treat this patch as a priority, especially given the critical severity and the fact that the vulnerability requires no authentication or user interaction. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, GitLab)
Varonis Threat Labs has disclosed three vulnerabilities in Microsoft Copilot Personal that it said could allow a single click on a crafted link to silently pull data from connected apps and other information available to the victim's Copilot session. The flaws, which the researchers collectively named CoSnitch, turn in part on an undocumented URL parameter that the assistant itself surfaced
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