Chick-fil-A data breach affects more than 13,000 customers
Chick-fil-A has confirmed that over 13,000 customers had their accounts breached in a wave of credential stuffing attacks targeting its website and mobile app between June 17 and June 19.

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4276 ARTICLES
Chick-fil-A has confirmed that over 13,000 customers had their accounts breached in a wave of credential stuffing attacks targeting its website and mobile app between June 17 and June 19.


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.

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.

Europol has flagged 4,340 URLs for removal during a multi-week operation targeting online content linked to “The Com,” a loosely organized network of nihilistic violent extremist groups.

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.

The company has raised a total of $49 million in funding, including from Battery Ventures, Accel and Foundation Capital. The post AegisAI Raises $36 Million for AI-Powered Email Security appeared first on SecurityWeek.

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,

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

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

Industry professionals debate whether it represents a lab containment failure or an unprecedented agentic capability milestone. The post Industry Reactions to OpenAI Models Hacking Hugging Face: Feedback Friday appeared first on SecurityWeek.

An Illinois man was sentenced on Tuesday to 76 months in prison and three years of supervised release for hacking the Snapchat accounts of over 750 women to steal nude photos.

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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