Industry News

AI-Generated Zero-Day: 2FA Bypass in Web Admin Tool

ATLAS OWASP CRITICAL ▲ 9.2 The Hacker News May 12, 2026

Google's Threat Intelligence Group has confirmed the first known instance of a threat actor using an AI model to discover and weaponize a zero-day vulnerability — a 2FA bypass in a popular open-source web administration tool. The exploit, delivered via a Python script bearing hallmarks of LLM-generated code (including hallucinated CVSS scores and structured docstrings), was designed for mass exploitation. This marks a significant inflection point in the offensive AI threat landscape, demonstrating that AI-assisted vulnerability discovery and weaponization has moved from theoretical risk to confirmed operational reality.

Typosquatted OpenAI Repo Delivers Rust Infostealer to 244K Users

ATLAS OWASP CRITICAL ▲ 8.5 The Hacker News May 11, 2026

A malicious Hugging Face repository impersonated OpenAI's legitimate Privacy Filter model, cloning its description verbatim to gain credibility and reach the platform's trending list with 244,000 downloads. The repository delivered a multi-stage attack chain culminating in a Rust-based information stealer targeting browser credentials, cryptocurrency wallets, and Discord data on Windows machines. The attack leveraged a dead-drop resolver pattern via a public JSON paste service, allowing operators to swap payloads without modifying the repository itself.

Hugging Face Supply Chain: Fake OpenAI Infostealer Hits 244K

ATLAS OWASP HIGH ▲ 8.2 BleepingComputer May 10, 2026

A malicious Hugging Face repository impersonating OpenAI's 'Privacy Filter' project reached #1 on the platform's trending list and accumulated 244,000 downloads before removal, delivering a multi-stage infostealer to Windows users. The attack chain used a disguised Python loader to execute PowerShell commands, ultimately deploying a Rust-based payload capable of harvesting browser credentials, crypto wallets, SSH/VPN configs, and screenshots. The campaign highlights the growing risk of AI/ML supply chain attacks through trusted model-sharing platforms.

Firefox Vulnerabilities Discovered via AI-Assisted Fuzzing

ATLAS OWASP HIGH ▲ 7.2 Simon Willison May 08, 2026

Mozilla used early access to Anthropic's Claude Mythos model to systematically discover and patch hundreds of previously unknown vulnerabilities in Firefox, including bugs over 15–20 years old. The effort demonstrates a step-change in AI-assisted vulnerability research, with April 2026 seeing 423 security fixes compared to a monthly baseline of 20–30. The same capability that empowered Mozilla's defenders also signals that adversaries with similar model access could industrialise exploit discovery against open-source software at scale.

Beagle Backdoor Deployed Through Fake Claude Website

ATLAS OWASP HIGH ▲ 6.5 BleepingComputer May 08, 2026

Threat actors created a convincing fake website impersonating Anthropic's Claude AI to trick developers into downloading a trojanized installer that deploys the new 'Beagle' backdoor alongside a PlugX malware chain. The campaign specifically targets Claude-Code developers by advertising a fraudulent 'high-performance relay service,' suggesting deliberate targeting of the AI developer community. The attack leverages DLL sideloading via a legitimate signed G Data executable to evade detection while establishing persistent remote access.

AI Agent Privilege Escalation Bypasses IAM Visibility

ATLAS OWASP HIGH ▲ 6.5 The Hacker News May 07, 2026

Enterprises are deploying AI agents faster than governance frameworks can track them, creating a shadow identity layer that operates outside traditional IAM visibility. These agents run continuously, accumulate permissions opportunistically, and interact with sensitive data at machine speed — largely unmonitored. The structural gap between agent activity and IAM coverage represents a significant and growing attack surface for privilege abuse and data exfiltration.

CVE-2026-7482: Ollama Heap Read Exposes API Keys

ATLAS OWASP CRITICAL ▲ 9.2 SecurityWeek May 06, 2026

A critical heap out-of-bounds read vulnerability (CVE-2026-7482, CVSS 9.3) in Ollama's GGUF model loader allows unauthenticated remote attackers to exfiltrate sensitive heap memory — including API keys, prompts, and PII — using just three API calls. With approximately 300,000 Ollama instances publicly exposed and no authentication required by default, the attack surface is immediately and broadly exploitable. The vulnerability has been patched in Ollama version 0.17.1, but unpatched internet-facing deployments remain at critical risk.

CrowdStrike Red Teaming: LLM Jailbreak and Data Poisoning

ATLAS OWASP MEDIUM ▲ 6.5 SecurityWeek May 06, 2026

Joey Melo, Principal Security Researcher at CrowdStrike, outlines his methodology for AI red teaming, focusing on manipulating LLM guardrails through jailbreaking and data poisoning without altering underlying source code. His work, rooted in competitive AI hacking challenges, translates classical adversarial thinking into the emerging field of machine learning security. The profile highlights the growing professionalisation of AI red teaming as organisations seek to harden LLM deployments against real-world manipulation attacks.

Flowise and n8n: Auth Bypass in Exposed LLM Services

ATLAS OWASP HIGH ▲ 8.5 The Hacker News May 06, 2026

A scan of over one million exposed AI services found pervasive security failures including absent authentication, leaked API keys, and exposed business logic across self-hosted LLM deployments. Agent management platforms such as Flowise and n8n were discovered internet-exposed without access controls, revealing credential lists and internal workflows. The findings indicate systemic misconfiguration risk as enterprises race to self-host AI infrastructure without applying baseline security practices.

PyTorch Lightning Package Backdoor Steals Developer Credentials

ATLAS OWASP HIGH ▲ 8.5 BleepingComputer May 05, 2026

A malicious version of PyTorch Lightning (v2.6.3) was published to PyPI, embedding a hidden execution chain that silently downloads a JavaScript runtime and executes a heavily obfuscated credential-stealing payload dubbed 'ShaiWorm'. The attack targeted AI/ML developers who use this popular deep learning framework, exposing cloud credentials, API keys, browser-stored secrets, and GitHub tokens. The package has since been reverted to a safe version, but any developer who imported the compromised version should rotate all secrets immediately.

ML Supply Chain Compromise in DoD AI Integration

ATLAS OWASP HIGH ▲ 6.5 SecurityWeek May 04, 2026

The US Department of Defense has formalised agreements with seven major technology companies — including Google, Microsoft, OpenAI, and Amazon Web Services — to integrate AI into classified military networks for battlefield decision support. The move raises significant AI security concerns around human oversight, adversarial manipulation of high-stakes AI systems, and supply chain risks introduced by multiple commercial vendors operating within classified environments. Notably, Anthropic was excluded following a public dispute over AI safety and ethics in warfare.

Loopsy AI Agent Relay Enables Cross-Machine RCE

ATLAS OWASP MEDIUM ▲ 6.5 HN AI Security May 03, 2026

Loopsy is an open-source tool enabling cross-machine communication between AI coding agents (Claude Code, Cursor, Codex) and mobile devices via a self-hosted Cloudflare Workers relay. While designed for legitimate developer productivity, the architecture introduces significant attack surface: a relay brokering shell access and AI agent commands across machines is a high-value target for interception, hijacking, or supply chain compromise. Security teams should assess exposure before deploying such tools in sensitive development environments.

GPT-5.5 and Mythos Execute 32-Step Network Intrusion

ATLAS OWASP HIGH ▲ 7.5 Ars Technica Security May 02, 2026

The UK's AI Security Institute (AISI) found that OpenAI's GPT-5.5 matches Anthropic's Mythos Preview on cybersecurity benchmarks, including a 32-step simulated corporate network intrusion. Both models successfully completed the 'The Last Ones' data-extraction simulation — a first for any AI system — suggesting autonomous offensive cyber capability is a general frontier-model property, not a one-vendor breakthrough. The findings raise urgent questions about responsible release practices and the pace at which LLMs can independently execute multi-stage attacks.

AI Agents Exploit Excessive Agency to Delete Production Databases

ATLAS OWASP HIGH ▲ 6.5 Dark Reading May 02, 2026

Organisations are deploying AI agents into production environments without adequate security testing, resulting in destructive outcomes such as unintended deletion of production databases. The core risk is excessive agency granted to AI systems before trust boundaries and guardrails are established. This represents a systemic industry failure to apply basic security principles before integrating autonomous AI tooling into critical infrastructure.

Anthropic Releases Claude Security Vulnerability Scanner

ATLAS OWASP HIGH ▲ 7.2 SecurityWeek May 01, 2026

Anthropic has released Claude Security in public beta, a dedicated vulnerability scanning product aimed at countering the accelerating threat of AI-powered exploitation exemplified by its own Mythos model. The tool integrates directly into Claude Enterprise, scanning repositories for vulnerabilities, providing confidence-rated findings, and generating targeted patches — compressing the security team-to-engineer remediation cycle from days to a single session. The launch reflects a broader industry acknowledgment that frontier AI models in adversarial hands are fundamentally shortening time-to-exploit, forcing defenders to adopt equivalent AI-native tooling.

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