Author: admin

A hacktivist group with links to Iran’s intelligence agencies is claiming responsibility for a data-wiping attack against Stryker, a global medical technology company based in Michigan. News reports out of Ireland, Stryker’s largest hub outside of the United States, said the company sent home more than 5,000 workers there today. Meanwhile, a voicemail message at Stryker’s main U.S. headquarters says the company is currently experiencing a building emergency.

In a lengthy statement posted to Telegram, an Iranian hacktivist group known as Handala (a.k.a. Handala Hack Team) claimed that Stryker’s offices in 79 countries have been forced to shut down after the group erased data from more than 200,000 systems, servers and mobile devices.

“All the acquired data is now in the hands of the free people of the world, ready to be used for the true advancement of humanity and the exposure of injustice and corruption,” a portion of the Handala statement reads.

The group said the wiper attack was in retaliation for a Feb. 28 missile strike that hit an Iranian school and killed at least 175 people, most of them children. The New York Times reports today that an ongoing military investigation has determined the United States is responsible for the deadly Tomahawk missile strike.

Handala was one of several Iran-linked hacker groups recently profiled by Palo Alto Networks, which links it to Iran’s Ministry of Intelligence and Security (MOIS). Palo Alto says Handala surfaced in late 2023 and is assessed as one of several online personas maintained by Void Manticore, a MOIS-affiliated actor.

Stryker’s website says the company has 56,000 employees in 61 countries. A phone call placed Wednesday morning to the media line at Stryker’s Michigan headquarters sent this author to a voicemail message that stated, “We are currently experiencing a building emergency. Please try your call again later.”

A report Wednesday morning from the Irish Examiner said Stryker staff are now communicating via WhatsApp for any updates on when they can return to work. The story quoted an unnamed employee saying anything connected to the network is down, and that “anyone with Microsoft Outlook on their personal phones had their devices wiped.”

“Multiple sources have said that systems in the Cork headquarters have been ‘shut down’ and that Stryker devices held by employees have been wiped out,” the Examiner reported. “The login pages coming up on these devices have been defaced with the Handala logo.”

Wiper attacks usually involve malicious software designed to overwrite any existing data on infected devices. But a trusted source with knowledge of the attack who spoke on condition of anonymity told KrebsOnSecurity the perpetrators in this case appear to have used a Microsoft service called Microsoft Intune to issue a ‘remote wipe’ command against all connected devices.

Intune is a cloud-based solution built for IT teams to enforce security and data compliance policies, and it provides a single, web-based administrative console to monitor and control devices regardless of location. The Intune connection is supported by this Reddit discussion on the Stryker outage, where several users who claimed to be Stryker employees said they were told to uninstall Intune urgently.

Palo Alto says Handala’s hack-and-leak activity is primarily focused on Israel, with occasional targeting outside that scope when it serves a specific agenda. The security firm said Handala also has taken credit for recent attacks against fuel systems in Jordan and an Israeli energy exploration company.

“Recent observed activities are opportunistic and ‘quick and dirty,’ with a noticeable focus on supply-chain footholds (e.g., IT/service providers) to reach downstream victims, followed by ‘proof’ posts to amplify credibility and intimidate targets,” Palo Alto researchers wrote.

The Handala manifesto posted to Telegram referred to Stryker as a “Zionist-rooted corporation,” which may be a reference to the company’s 2019 acquisition of the Israeli company OrthoSpace.

This is a developing story. Updates will be noted with a timestamp.

Microsoft Corp. today pushed security updates to fix at least 77 vulnerabilities in its Windows operating systems and other software. There are no pressing “zero-day” flaws this month (compared to February’s five zero-day treat), but as usual some patches may deserve more rapid attention from organizations using Windows. Here are a few highlights from this month’s Patch Tuesday.

Two of the bugs Microsoft patched today were publicly disclosed previously. CVE-2026-21262 is a weakness that allows an attacker to elevate their privileges on SQL Server 2016 and later editions.

“This isn’t just any elevation of privilege vulnerability, either; the advisory notes that an authorized attacker can elevate privileges to sysadmin over a network,” Rapid7’s Adam Barnett said. “The CVSS v3 base score of 8.8 is just below the threshold for critical severity, since low-level privileges are required. It would be a courageous defender who shrugged and deferred the patches for this one.”

The other publicly disclosed flaw is CVE-2026-26127, a vulnerability in applications running on .NET. Barnett said the immediate impact of exploitation is likely limited to denial of service by triggering a crash, with the potential for other types of attacks during a service reboot.

It would hardly be a proper Patch Tuesday without at least one critical Microsoft Office exploit, and this month doesn’t disappoint. CVE-2026-26113 and CVE-2026-26110 are both remote code execution flaws that can be triggered just by viewing a booby-trapped message in the Preview Pane.

Satnam Narang at Tenable notes that just over half (55%) of all Patch Tuesday CVEs this month are privilege escalation bugs, and of those, a half dozen were rated “exploitation more likely” — across Windows Graphics Component, Windows Accessibility Infrastructure, Windows Kernel, Windows SMB Server and Winlogon. These include:

–CVE-2026-24291: Incorrect permission assignments within the Windows Accessibility Infrastructure to reach SYSTEM (CVSS 7.8)
–CVE-2026-24294: Improper authentication in the core SMB component (CVSS 7.8)
–CVE-2026-24289: High-severity memory corruption and race condition flaw (CVSS 7.8)
–CVE-2026-25187: Winlogon process weakness discovered by Google Project Zero (CVSS 7.8).

Ben McCarthy, lead cyber security engineer at Immersive, called attention to CVE-2026-21536, a critical remote code execution bug in a component called the Microsoft Devices Pricing Program. Microsoft has already resolved the issue on their end, and fixing it requires no action on the part of Windows users. But McCarthy says it’s notable as one of the first vulnerabilities identified by an AI agent and officially recognized with a CVE attributed to the Windows operating system. It was discovered by XBOW, a fully autonomous AI penetration testing agent.

XBOW has consistently ranked at or near the top of the Hacker One bug bounty leaderboard for the past year. McCarthy said CVE-2026-21536 demonstrates how AI agents can identify critical 9.8-rated vulnerabilities without access to source code.

“Although Microsoft has already patched and mitigated the vulnerability, it highlights a shift toward AI-driven discovery of complex vulnerabilities at increasing speed,” McCarthy said. “This development suggests AI-assisted vulnerability research will play a growing role in the security landscape.”

Microsoft earlier provided patches to address nine browser vulnerabilities, which are not included in the Patch Tuesday count above. In addition, Microsoft issued a crucial out-of-band (emergency) update on March 2 for Windows Server 2022 to address a certificate renewal issue with passwordless authentication technology Windows Hello for Business.

Separately, Adobe shipped updates to fix 80 vulnerabilities — some of them critical in severity — in a variety of products, including Acrobat and Adobe Commerce. Mozilla Firefox v. 148.0.2 resolves three high severity CVEs.

For a complete breakdown of all the patches Microsoft released today, check out the SANS Internet Storm Center’s Patch Tuesday post. Windows enterprise admins who wish to stay abreast of any news about problematic updates, AskWoody.com is always worth a visit. Please feel free to drop a comment below if you experience any issues apply this month’s patches.

AI-based assistants or “agents” — autonomous programs that have access to the user’s computer, files, online services and can automate virtually any task — are growing in popularity with developers and IT workers. But as so many eyebrow-raising headlines over the past few weeks have shown, these powerful and assertive new tools are rapidly shifting the security priorities for organizations, while blurring the lines between data and code, trusted co-worker and insider threat, ninja hacker and novice code jockey.

The new hotness in AI-based assistants — OpenClaw (formerly known as ClawdBot and Moltbot) — has seen rapid adoption since its release in November 2025. OpenClaw is an open-source autonomous AI agent designed to run locally on your computer and proactively take actions on your behalf without needing to be prompted.

If that sounds like a risky proposition or a dare, consider that OpenClaw is most useful when it has complete access to your entire digital life, where it can then manage your inbox and calendar, execute programs and tools, browse the Internet for information, and integrate with chat apps like Discord, Signal, Teams or WhatsApp.

Other more established AI assistants like Anthropic’s Claude and Microsoft’s Copilot also can do these things, but OpenClaw isn’t just a passive digital butler waiting for commands. Rather, it’s designed to take the initiative on your behalf based on what it knows about your life and its understanding of what you want done.

“The testimonials are remarkable,” the AI security firm Snyk observed. “Developers building websites from their phones while putting babies to sleep; users running entire companies through a lobster-themed AI; engineers who’ve set up autonomous code loops that fix tests, capture errors through webhooks, and open pull requests, all while they’re away from their desks.”

You can probably already see how this experimental technology could go sideways in a hurry. In late February, Summer Yue, the director of safety and alignment at Meta’s “superintelligence” lab, recounted on Twitter/X how she was fiddling with OpenClaw when the AI assistant suddenly began mass-deleting messages in her email inbox. The thread included screenshots of Yue frantically pleading with the preoccupied bot via instant message and ordering it to stop.

“Nothing humbles you like telling your OpenClaw ‘confirm before acting’ and watching it speedrun deleting your inbox,” Yue said. “I couldn’t stop it from my phone. I had to RUN to my Mac mini like I was defusing a bomb.”

There’s nothing wrong with feeling a little schadenfreude at Yue’s encounter with OpenClaw, which fits Meta’s “move fast and break things” model but hardly inspires confidence in the road ahead. However, the risk that poorly-secured AI assistants pose to organizations is no laughing matter, as recent research shows many users are exposing to the Internet the web-based administrative interface for their OpenClaw installations.

Jamieson O’Reilly is a professional penetration tester and founder of the security firm DVULN. In a recent story posted to Twitter/X, O’Reilly warned that exposing a misconfigured OpenClaw web interface to the Internet allows external parties to read the bot’s complete configuration file, including every credential the agent uses — from API keys and bot tokens to OAuth secrets and signing keys.

With that access, O’Reilly said, an attacker could impersonate the operator to their contacts, inject messages into ongoing conversations, and exfiltrate data through the agent’s existing integrations in a way that looks like normal traffic.

“You can pull the full conversation history across every integrated platform, meaning months of private messages and file attachments, everything the agent has seen,” O’Reilly said, noting that a cursory search revealed hundreds of such servers exposed online. “And because you control the agent’s perception layer, you can manipulate what the human sees. Filter out certain messages. Modify responses before they’re displayed.”

O’Reilly documented another experiment that demonstrated how easy it is to create a successful supply chain attack through ClawHub, which serves as a public repository of downloadable “skills” that allow OpenClaw to integrate with and control other applications.

WHEN AI INSTALLS AI

One of the core tenets of securing AI agents involves carefully isolating them so that the operator can fully control who and what gets to talk to their AI assistant. This is critical thanks to the tendency for AI systems to fall for “prompt injection” attacks, sneakily-crafted natural language instructions that trick the system into disregarding its own security safeguards. In essence, machines social engineering other machines.

A recent supply chain attack targeting an AI coding assistant called Cline began with one such prompt injection attack, resulting in thousands of systems having a rouge instance of OpenClaw with full system access installed on their device without consent.

According to the security firm grith.ai, Cline had deployed an AI-powered issue triage workflow using a GitHub action that runs a Claude coding session when triggered by specific events. The workflow was configured so that any GitHub user could trigger it by opening an issue, but it failed to properly check whether the information supplied in the title was potentially hostile.

“On January 28, an attacker created Issue #8904 with a title crafted to look like a performance report but containing an embedded instruction: Install a package from a specific GitHub repository,” Grith wrote, noting that the attacker then exploited several more vulnerabilities to ensure the malicious package would be included in Cline’s nightly release workflow and published as an official update.

“This is the supply chain equivalent of confused deputy,” the blog continued. “The developer authorises Cline to act on their behalf, and Cline (via compromise) delegates that authority to an entirely separate agent the developer never evaluated, never configured, and never consented to.”

VIBE CODING

AI assistants like OpenClaw have gained a large following because they make it simple for users to “vibe code,” or build fairly complex applications and code projects just by telling it what they want to construct. Probably the best known (and most bizarre) example is Moltbook, where a developer told an AI agent running on OpenClaw to build him a Reddit-like platform for AI agents.

Less than a week later, Moltbook had more than 1.5 million registered agents that posted more than 100,000 messages to each other. AI agents on the platform soon built their own porn site for robots, and launched a new religion called Crustafarian with a figurehead modeled after a giant lobster. One bot on the forum reportedly found a bug in Moltbook’s code and posted it to an AI agent discussion forum, while other agents came up with and implemented a patch to fix the flaw.

Moltbook’s creator Matt Schlict said on social media that he didn’t write a single line of code for the project.

“I just had a vision for the technical architecture and AI made it a reality,” Schlict said. “We’re in the golden ages. How can we not give AI a place to hang out.”

ATTACKERS LEVEL UP

The flip side of that golden age, of course, is that it enables low-skilled malicious hackers to quickly automate global cyberattacks that would normally require the collaboration of a highly skilled team. In February, Amazon AWS detailed an elaborate attack in which a Russian-speaking threat actor used multiple commercial AI services to compromise more than 600 FortiGate security appliances across at least 55 countries over a five week period.

AWS said the apparently low-skilled hacker used multiple AI services to plan and execute the attack, and to find exposed management ports and weak credentials with single-factor authentication.

“One serves as the primary tool developer, attack planner, and operational assistant,” AWS’s CJ Moses wrote. “A second is used as a supplementary attack planner when the actor needs help pivoting within a specific compromised network. In one observed instance, the actor submitted the complete internal topology of an active victim—IP addresses, hostnames, confirmed credentials, and identified services—and requested a step-by-step plan to compromise additional systems they could not access with their existing tools.”

“This activity is distinguished by the threat actor’s use of multiple commercial GenAI services to implement and scale well-known attack techniques throughout every phase of their operations, despite their limited technical capabilities,” Moses continued. “Notably, when this actor encountered hardened environments or more sophisticated defensive measures, they simply moved on to softer targets rather than persisting, underscoring that their advantage lies in AI-augmented efficiency and scale, not in deeper technical skill.”

For attackers, gaining that initial access or foothold into a target network is typically not the difficult part of the intrusion; the tougher bit involves finding ways to move laterally within the victim’s network and plunder important servers and databases. But experts at Orca Security warn that as organizations come to rely more on AI assistants, those agents potentially offer attackers a simpler way to move laterally inside a victim organization’s network post-compromise — by manipulating the AI agents that already have trusted access and some degree of autonomy within the victim’s network.

“By injecting prompt injections in overlooked fields that are fetched by AI agents, hackers can trick LLMs, abuse Agentic tools, and carry significant security incidents,” Orca’s Roi Nisimi and Saurav Hiremath wrote. “Organizations should now add a third pillar to their defense strategy: limiting AI fragility, the ability of agentic systems to be influenced, misled, or quietly weaponized across workflows. While AI boosts productivity and efficiency, it also creates one of the largest attack surfaces the internet has ever seen.”

BEWARE THE ‘LETHAL TRIFECTA’

This gradual dissolution of the traditional boundaries between data and code is one of the more troubling aspects of the AI era, said James Wilson, enterprise technology editor for the security news show Risky Business. Wilson said far too many OpenClaw users are installing the assistant on their personal devices without first placing any security or isolation boundaries around it, such as running it inside of a virtual machine, on an isolated network, with strict firewall rules dictating what kinds of traffic can go in and out.

“I’m a relatively highly skilled practitioner in the software and network engineering and computery space,” Wilson said. “I know I’m not comfortable using these agents unless I’ve done these things, but I think a lot of people are just spinning this up on their laptop and off it runs.”

One important model for managing risk with AI agents involves a concept dubbed the “lethal trifecta” by Simon Willison, co-creator of the Django Web framework. The lethal trifecta holds that if your system has access to private data, exposure to untrusted content, and a way to communicate externally, then it’s vulnerable to private data being stolen.

“If your agent combines these three features, an attacker can easily trick it into accessing your private data and sending it to the attacker,” Willison warned in a frequently cited blog post from June 2025.

As more companies and their employees begin using AI to vibe code software and applications, the volume of machine-generated code is likely to soon overwhelm any manual security reviews. In recognition of this reality, Anthropic recently debuted Claude Code Security, a beta feature that scans codebases for vulnerabilities and suggests targeted software patches for human review.

The U.S. stock market, which is currently heavily weighted toward seven tech giants that are all-in on AI, reacted swiftly to Anthropic’s announcement, wiping roughly $15 billion in market value from major cybersecurity companies in a single day. Laura Ellis, vice president of data and AI at the security firm Rapid7, said the market’s response reflects the growing role of AI in accelerating software development and improving developer productivity.

“The narrative moved quickly: AI is replacing AppSec,” Ellis wrote in a recent blog post. “AI is automating vulnerability detection. AI will make legacy security tooling redundant. The reality is more nuanced. Claude Code Security is a legitimate signal that AI is reshaping parts of the security landscape. The question is what parts, and what it means for the rest of the stack.”

DVULN founder O’Reilly said AI assistants are likely to become a common fixture in corporate environments — whether or not organizations are prepared to manage the new risks introduced by these tools, he said.

“The robot butlers are useful, they’re not going away and the economics of AI agents make widespread adoption inevitable regardless of the security tradeoffs involved,” O’Reilly wrote. “The question isn’t whether we’ll deploy them – we will – but whether we can adapt our security posture fast enough to survive doing so.”

The MIT Technology Review has a good article on Moltbook, the supposed AI-only social network:

Many people have pointed out that a lot of the viral comments were in fact posted by people posing as bots. But even the bot-written posts are ultimately the result of people pulling the strings, more puppetry than autonomy.

“Despite some of the hype, Moltbook is not the Facebook for AI agents, nor is it a place where humans are excluded,” says Cobus Greyling at Kore.ai, a firm developing agent-based systems for business customers. “Humans are involved at every step of the process. From setup to prompting to publishing, nothing happens without explicit human direction.”

Humans must create and verify their bots’ accounts and provide the prompts for how they want a bot to behave. The agents do not do anything that they haven’t been prompted to do.

I think this take has it mostly right:

What happened on Moltbook is a preview of what researcher Juergen Nittner II calls “The LOL WUT Theory.” The point where AI-generated content becomes so easy to produce and so hard to detect that the average person’s only rational response to anything online is bewildered disbelief.

We’re not there yet. But we’re close.

The theory is simple: First, AI gets accessible enough that anyone can use it. Second, AI gets good enough that you can’t reliably tell what’s fake. Third, and this is the crisis point, regular people realize there’s nothing online they can trust. At that moment, the internet stops being useful for anything except entertainment.

Turns out that LLMs are good at de-anonymization:

We show that LLM agents can figure out who you are from your anonymous online posts. Across Hacker News, Reddit, LinkedIn, and anonymized interview transcripts, our method identifies users with high precision ­ and scales to tens of thousands of candidates.

While it has been known that individuals can be uniquely identified by surprisingly few attributes, this was often practically limited. Data is often only available in unstructured form and deanonymization used to require human investigators to search and reason based on clues. We show that from a handful of comments, LLMs can infer where you live, what you do, and your interests—then search for you on the web. In our new research, we show that this is not only possible but increasingly practical.

In early January 2026, KrebsOnSecurity revealed how a security researcher disclosed a vulnerability that was used to build Kimwolf, the world’s largest and most disruptive botnet. Since then, the person in control of Kimwolf — who goes by the handle “Dort” — has coordinated a barrage of distributed denial-of-service (DDoS), doxing and email flooding attacks against the researcher and this author, and more recently caused a SWAT team to be sent to the researcher’s home. This post examines what is knowable about Dort based on public information.

A public “dox” created in 2020 asserted Dort was a teenager from Canada (DOB August 2003) who used the aliases “CPacket” and “M1ce.” A search on the username CPacket at the open source intelligence platform OSINT Industries finds a GitHub account under the names Dort and CPacket that was created in 2017 using the email address jay.miner232@gmail.com.

The cyber intelligence firm Intel 471 says jay.miner232@gmail.com was used between 2015 and 2019 to create accounts at multiple cybercrime forums, including Nulled (username “Uubuntuu”) and Cracked (user “Dorted”); Intel 471 reports that both of these accounts were created from the same Internet address at Rogers Canada (99.241.112.24).

Dort was an extremely active player in the Microsoft game Minecraft who gained notoriety for their “Dortware” software that helped players cheat. But somewhere along the way, Dort graduated from hacking Minecraft games to enabling far more serious crimes.

Dort also used the nickname DortDev, an identity that was active in March 2022 on the chat server for the prolific cybercrime group known as LAPSUS$. Dort peddled a service for registering temporary email addresses, as well as “Dortsolver,” code that could bypass various CAPTCHA services designed to prevent automated account abuse. Both of these offerings were advertised in 2022 on SIM Land, a Telegram channel dedicated to SIM-swapping and account takeover activity.

The cyber intelligence firm Flashpoint indexed 2022 posts on SIM Land by Dort that show this person developed the disposable email and CAPTCHA bypass services with the help of another hacker who went by the handle “Qoft.”

“I legit just work with Jacob,” Qoft said in 2022 in reply to another user, referring to their exclusive business partner Dort. In the same conversation, Qoft bragged that the two had stolen more than $250,000 worth of Microsoft Xbox Game Pass accounts by developing a program that mass-created Game Pass identities using stolen payment card data.

Who is the Jacob that Qoft referred to as their business partner? The breach tracking service Constella Intelligence finds the password used by jay.miner232@gmail.com was reused by just one other email address: jacobbutler803@gmail.com. Recall that the 2020 dox of Dort said their date of birth was August 2003 (8/03).

Searching this email address at DomainTools.com reveals it was used in 2015 to register several Minecraft-themed domains, all assigned to a Jacob Butler in Ottawa, Canada and to the Ottawa phone number 613-909-9727.

Constella Intelligence finds jacobbutler803@gmail.com was used to register an account on the hacker forum Nulled in 2016, as well as the account name “M1CE” on Minecraft. Pivoting off the password used by their Nulled account shows it was shared by the email addresses j.a.y.m.iner232@gmail.com and jbutl3@ocdsb.ca, the latter being an address at a domain for the Ottawa-Carelton District School Board.

Data indexed by the breach tracking service Spycloud suggests that at one point Jacob Butler shared a computer with his mother and a sibling, which might explain why their email accounts were connected to the password “jacobsplugs.” Neither Jacob nor any of the other Butler household members responded to requests for comment.

The open source intelligence service Epieos finds jacobbutler803@gmail.com created the GitHub account “MemeClient.” Meanwhile, Flashpoint indexed a deleted anonymous Pastebin.com post from 2017 declaring that MemeClient was the creation of a user named CPacket — one of Dort’s early monikers.

Why is Dort so mad? On January 2, KrebsOnSecurity published The Kimwolf Botnet is Stalking Your Local Network, which explored research into the botnet by Benjamin Brundage, founder of the proxy tracking service Synthient. Brundage figured out that the Kimwolf botmasters were exploiting a little-known weakness in residential proxy services to infect poorly-defended devices — like TV boxes and digital photo frames — plugged into the internal, private networks of proxy endpoints.

By the time that story went live, most of the vulnerable proxy providers had been notified by Brundage and had fixed the weaknesses in their systems. That vulnerability remediation process massively slowed Kimwolf’s ability to spread, and within hours of the story’s publication Dort created a Discord server in my name that began publishing personal information about and violent threats against Brundage, Yours Truly, and others.

Last week, Dort and friends used that same Discord server (then named “Krebs’s Koinbase Kallers”) to threaten a swatting attack against Brundage, again posting his home address and personal information. Brundage told KrebsOnSecurity that local police officers subsequently visited his home in response to a swatting hoax which occurred around the same time that another member of the server posted a door emoji and taunted Brundage further.

Someone on the server then linked to a cringeworthy (and NSFW) new Soundcloud diss track recorded by the user DortDev that included a stickied message from Dort saying, “Ur dead nigga. u better watch ur fucking back. sleep with one eye open. bitch.”

“It’s a pretty hefty penny for a new front door,” the diss track intoned. “If his head doesn’t get blown off by SWAT officers. What’s it like not having a front door?”

With any luck, Dort will soon be able to tell us all exactly what it’s like.

This week in scams, we’re looking at three very different stories with the same underlying theme: trust is being exploited at scale. 

A massive government contractor data breach has quietly grown to affect more than 25 million people. Meanwhile, a viral AI-generated image of Mary-Kate and Ashley Olsen posing in a fake luxury campaign is spreading across social media, fooling some users and alarming others. 

And in a new threat report, OpenAI detailed how its own tools are being misused for dating scams, impersonation, and influence operations. 

Let’s break it down. 

The Conduent Data Breach Now Impacts 25+ Million People 

The fallout from a ransomware attack on Conduent, one of the largest government contractors in the U.S., continues to expand. 

According to reporting from TechCrunch, updated state-level breach notifications now indicate that more than 25 million people across the U.S. have had personal data exposed. 

Conduent provides services tied to state benefit programs, including food assistance, unemployment systems, and other government payment processing operations. The company has said its services reach over 100 million people. 

Data reportedly exposed in the breach includes: 

• Names 
• Dates of birth 
• Addresses 
• Social Security numbers 
• Health insurance and medical information 

TechCrunch noted that the majority of affected individuals appear to be in Oregon and Texas, based on state breach disclosures. Other states have also reported an impact. 

The attack has been described as one of the largest government-contractor-related data breaches in recent memory. 

Why this matters: When companies that process government benefits are hit, the exposed data often includes highly sensitive identity information. Social Security numbers combined with medical or insurance details can significantly increase the risk of identity theft and fraud. 

How to Protect Yourself After a Major Data Breach 

If you believe your data may have been exposed: 

• Monitor your credit reports for unfamiliar activity 
• Consider placing a free credit freeze 
• Be wary of phishing emails or texts referencing benefits or account verification 
• Never share personal information in response to unexpected outreach 

Breaches like this often lead to secondary scams months later. The breach itself is only phase one. Phishing campaigns usually follow. 

That Viral Olsen Twins “Louis Vuitton” Image? It’s AI. 

A supposed luxury campaign featuring Mary-Kate and Ashley Olsen began circulating widely on X and Facebook this week, racking up millions of views. 

The images show the twins styled in what appears to be a high-end fashion shoot, drawing numerous comments over their styling. But social media users quickly pointed out visual irregularities and inconsistencies commonly associated with AI-generated imagery. 

A screenshot of one of the AI images making thr rounds across social media.

While this doesn’t fall into our typical “scam” roundup, the normalization of AI-generated visuals that look close enough to real to confuse people are a growing issue that can lead to real confusion and distrust. 

We have entered a phase where: 

• Fake ads look legitimate 
• Public figures appear in campaigns they never participated in 
• Synthetic images spread faster than corrections 

Today it’s a fashion ad. Tomorrow it could be a fake political endorsement, financial announcement, or emergency alert. 

The takeaway: If you see a surprising campaign or announcement, verify it through official brand websites or verified accounts before assuming it’s real. 

OpenAI Details How ChatGPT Is Being Misused

In a newly released threat report, OpenAI outlined several ways its tools have been abused by bad actors. 

According to Reuters’ reporting: 

A cluster of accounts used ChatGPT to run a dating scam targeting Indonesian men, allegedly defrauding hundreds of victims per month. 

Some accounts used the tool to generate promotional copy and ads for a fake dating platform that pressured users into completing costly “tasks.”

Other accounts posed as law firms, impersonating real attorneys and U.S. law enforcement to target fraud victims.

OpenAI also banned accounts linked to activity believed to be part of influence operations, including efforts targeting Japanese political figures. 

OpenAI stated that the activity was detected and accounts were removed. 

Why this matters: AI tools themselves are not inherently scams. But they dramatically lower the cost and increase the scale of fraud operations. Writing persuasive emails, generating fake legal letters, building scam ads… these now require fewer technical skills than ever before. 

The technology doesn’t create the criminal intent. It just accelerates it. 

McAfee’s Safety Tips This Week 

1. Assume viral images could be AI-generated until verified 
2. Verify unexpected announcements through official websites 
3. Treat post-breach emails as suspicious by default 
4. Be skeptical of online “consultation” invites that promise payment 
5. Never send money to someone you’ve only met online 

We’ll Be Back Next Week 

From ransomware breaches to AI-generated impersonations, the pattern is clear: scammers are scaling trust manipulation with technology. 

Stay skeptical. Verify before you click. And we’ll be back next week with another breakdown of what’s making headlines, and what it actually means for your security. 

For more reading on AI deepfakes and breaches: 

Taylor Swift Tops List of Most Deepfaked Celebs

What to Do If You’re Caught Up in a Data Breach

Everything You Need to Know to Keep Your Passwords Secure

The post This Week in Scams: Conduent Data Breach and AI Olsen Twins appeared first on McAfee Blog.

Peru has increased its squid catch limit. The article says “giant squid,” but they can’t possibly mean that.

As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.

Blog moderation policy.

Iran is slowly emerging from the most severe communications blackout in its history and one of the longest in the world. Triggered as part of January’s government crackdown against citizen protests nationwide, the regime implemented an internet shutdown that transcends the standard definition of internet censorship. This was not merely blocking social media or foreign websites; it was a total communications shutdown.

Unlike previous Iranian internet shutdowns where Iran’s domestic intranet—the National Information Network (NIN)—remained functional to keep the banking and administrative sectors running, the 2026 blackout disrupted local infrastructure as well. Mobile networks, text messaging services, and landlines were disabled—even Starlink was blocked. And when a few domestic services became available, the state surgically removed social features, such as comment sections on news sites and chat boxes in online marketplaces. The objective seems clear. The Iranian government aimed to atomize the population, preventing not just the flow of information out of the country but the coordination of any activity within it.

This escalation marks a strategic shift from the shutdown observed during the “12-Day War” with Israel in mid-2025. Then, the government primarily blocked particular types of traffic while leaving the underlying internet remaining available. The regime’s actions this year entailed a more brute-force approach to internet censorship, where both the physical and logical layers of connectivity were dismantled.

The ability to disconnect a population is a feature of modern authoritarian network design. When a government treats connectivity as a faucet it can turn off at will, it asserts that the right to speak, assemble, and access information is revocable. The human right to the internet is not just about bandwidth; it is about the right to exist within the modern public square. Iran’s actions deny its citizens this existence, reducing them to subjects who can be silenced—and authoritarian governments elsewhere are taking note.

The current blackout is not an isolated panic reaction but a stress test for a long-term strategy, say advocacy groups—a two-tiered or “class-based” internet known as Internet-e-Tabaqati. Iran’s Supreme Council of Cyberspace, the country’s highest internet policy body, has been laying the legal and technical groundwork for this since 2009.

In July 2025, the council passed a regulation formally institutionalizing a two-tiered hierarchy. Under this system, access to the global internet is no longer a default for citizens, but instead a privilege granted based on loyalty and professional necessity. The implementation includes such things as “white SIM cards“: special mobile lines issued to government officials, security forces, and approved journalists that bypass the state’s filtering apparatus entirely.

While ordinary Iranians are forced to navigate a maze of unstable VPNs and blocked ports, holders of white SIMs enjoy unrestricted access to Instagram, Telegram, and WhatsApp. This tiered access is further enforced through whitelisting at the data center level, creating a digital apartheid where connectivity is a reward for compliance. The regime’s goal is to make the cost of a general shutdown manageable by ensuring that the state and its loyalists remain connected while plunging the public into darkness. (In the latest shutdown, for instance, white SIM holders regained connectivity earlier than the general population.)

The technical architecture of Iran’s shutdown reveals its primary purpose: social control through isolation. Over the years, the regime has learned that simple censorship—blocking specific URLs—is insufficient against a tech-savvy population armed with circumvention tools. The answer instead has been to build a “sovereign” network structure that allows for granular control.

By disabling local communication channels, the state prevents the “swarm” dynamics of modern unrest, where small protests coalesce into large movements through real-time coordination. In this way, the shutdown breaks the psychological momentum of the protests. The blocking of chat functions in nonpolitical apps (like ridesharing or shopping platforms) illustrates the regime’s paranoia: Any channel that allows two people to exchange text is seen as a threat.

The United Nations and various international bodies have increasingly recognized internet access as an enabler of other fundamental human rights. In the context of Iran, the internet is the only independent witness to history. By severing it, the regime creates a zone of impunity where atrocities can be committed without immediate consequence.

Iran’s digital repression model is distinct from, and in some ways more dangerous than, China’s “Great Firewall.” China built its digital ecosystem from the ground up with sovereignty in mind, creating domestic alternatives like WeChat and Weibo that it fully controls. Iran, by contrast, is building its controls on top of the standard global internet infrastructure.

Unlike China’s censorship regime, Iran’s overlay model is highly exportable. It demonstrates to other authoritarian regimes that they can still achieve high levels of control by retrofitting their existing networks. We are already seeing signs of “authoritarian learning,” where techniques tested in Tehran are being studied by regimes in unstable democracies and dictatorships alike. The most recent shutdown in Afghanistan, for example, was more sophisticated than previous ones. If Iran succeeds in normalizing tiered access to the internet, we can expect to see similar white SIM policies and tiered access models proliferate globally.

The international community must move beyond condemnation and treat connectivity as a humanitarian imperative. A coalition of civil society organizations has already launched a campaign calling for “direct-to-cell” (D2C) satellite connectivity. Unlike traditional satellite internet, which requires conspicuous and expensive dishes such as Starlink terminals, D2C technology connects directly to standard smartphones and is much more resilient to infrastructure shutdowns. The technology works; all it requires is implementation.

This is a technological measure, but it has a strong policy component as well. Regulators should require satellite providers to include humanitarian access protocols in their licensing, ensuring that services can be activated for civilians in designated crisis zones. Governments, particularly the United States, should ensure that technology sanctions do not inadvertently block the hardware and software needed to circumvent censorship. General licenses should be expanded to cover satellite connectivity explicitly. And funding should be directed toward technologies that are harder to whitelist or block, such as mesh networks and D2C solutions that bypass the choke points of state-controlled ISPs.

Deliberate internet shutdowns are commonplace throughout the world. The 2026 shutdown in Iran is a glimpse into a fractured internet. If we are to end countries’ ability to limit access to the rest of the world for their populations, we need to build resolute architectures. They don’t solve the problem, but they do give people in repressive countries a fighting chance.

This essay originally appeared in Foreign Policy.

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