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Cyber Security

4276 articles

4276 ARTICLES

Slopsquatting, Phantom Domains, and HalluSquatting Are the Same AI Attack
CYBERSECURITY

Slopsquatting, Phantom Domains, and HalluSquatting Are the Same AI Attack

Slopsquatting, phantom squatting, and HalluSquatting all exploit the same late-binding attack pattern, where AI coding agents trust hallucinated package, repo, or domain names. ActiveState explains how pre-fetch verification and governed dependency management can help stop these attacks before malicious code enters the pipeline.

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Meta tackles AI-generated accounts with a free Facebook verification badge
CYBERSECURITY

Meta tackles AI-generated accounts with a free Facebook verification badge

Meta has introduced Facebook Verified, a free badge meant to show that a person behind a profile has completed identity verification through a selfie check. (Source: Meta) The company says the goal is to give users a signal that they are dealing with a person, not a bot or an AI-generated account, when browsing Marketplace listings, dating profiles, or Group conversations. “As AI makes it easier to do more on Facebook, a clear signal that … More → The post Meta tackles AI-generated accounts with a free Facebook verification badge appeared first on Help Net Security.

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Russian hackers exploit unpatched Zimbra servers to steal emails
CYBERSECURITY

Russian hackers exploit unpatched Zimbra servers to steal emails

Russian state-backed hacker group Laundry Bear has been breaking into government and commercial networks for at least a year by exploiting a vulnerability in the Zimbra Collaboration Suite (ZCS) webmail platform. Laundry Bear (also known as Void Blizzard, CL-STA-1114, and TA488) has been running the campaign since July 2025, according to a joint advisory from the NSA, FBI, CISA, and cybersecurity agencies from the Netherlands, UK, Australia, Canada, and a dozen other countries. “Laundry Bear’s … More → The post Russian hackers exploit unpatched Zimbra servers to steal emails appeared first on Help Net Security.

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ChatGPT AgentForger Flaw Could Deploy Rogue Workspace Agents via a Phishing Link
CYBERSECURITY

ChatGPT AgentForger Flaw Could Deploy Rogue Workspace Agents via a Phishing Link

Cybersecurity researchers have disclosed a critical vulnerability in OpenAI’s ChatGPT Workspace Agents that could have allowed a single phishing link to stealthily build, authorize, and deploy an autonomous artificial intelligence (AI) agent inside a victim’s organization. The vulnerability has been codenamed AgentForger by Zenity Labs. The issue has since been addressed by OpenAI as of June 8,

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Bing Images Flaws Let Crafted SVGs Run Commands as SYSTEM on Microsoft's Servers
CYBERSECURITY

Bing Images Flaws Let Crafted SVGs Run Commands as SYSTEM on Microsoft's Servers

A crafted SVG submitted to Bing’s image search ran commands as NT AUTHORITY\SYSTEM on Microsoft’s production image-processing workers, and as root on the Linux machines in the same fleet. XBOW’s testing got the same result on workers across different hosts and network ranges, so the problem sat in Bing’s image tier, not on one bad machine. Microsoft issued two critical CVEs, CVE-2026-32194 and

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Seeing AI Agents Is Not Enough. Security Teams Must Enforce What They Can Do
CYBERSECURITY

Seeing AI Agents Is Not Enough. Security Teams Must Enforce What They Can Do

AI agent security is moving through a familiar maturity curve: adoption, then visibility, and finally, control. But what we’ve collectively discovered is that enforcing least privilege for AI agents is harder than we ever imagined. This is why there are so many approaches, from prompt filtering to identity-layer access controls. Where we’ve collectively landed is that understanding the intent of

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Why AI Needs a “Genie Coefficient”
CYBERSECURITY

Why AI Needs a “Genie Coefficient”

This essay was written with Barath Raghavan, and originally appeared in IEEE Spectrum. Major benchmarks measure what AI can do. None measure whether it does what you mean: the distance between what you ask an AI to do and the unspoken assumptions about how you want the AI to do it. We propose a new metric: the Genie coefficient. There’s often a gap between one person’s request and another’s understanding. Most of the time, we bridge it using general knowledge. For example, if you ask a friend to get you coffee, they’ll pour a cup from the pot or buy one from a coffee shop. They won’t bring you a bag of raw beans or snatch a cup from a stranger and hand it to you. You never specified any of this. You never had to…

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