Zero-Day

11 reports

All LLM Security Agentic AI Industry News Research Supply Chain Prompt Injection First Look: Security Regulatory Jailbreaks Adversarial ML Data Poisoning Model Theft AI Security Tools Security Operations

Microsoft MDASH Brings AI-Powered Windows Vulnerability Discovery

FIRST LOOK ATLAS OWASP HIGH ▲ 7.2 BleepingComputer Jul 10, 2026

Microsoft has deployed MDASH (Multi-model Agentic Scanning Harness), an AI-powered agentic system that autonomously scans Windows binaries for vulnerabilities and validates findings through multiple AI models before human engineer review. The accelerated discovery pipeline means defenders will see a higher volume of Patch Tuesday fixes, compressing patch deployment windows and increasing pressure on enterprise patch management processes. Simultaneously, the same AI-accelerated vulnerability discovery capability is available to adversaries, raising the risk that threat actors identify and weaponise flaws faster than Microsoft's pipeline can remediate them.

FuzzingBrain V2 Discovers 29 Zero-Day Vulnerabilities

ATLAS OWASP HIGH ▲ 7.8 HN AI Security May 29, 2026

Researchers have developed FuzzingBrain V2, a multi-agent LLM system capable of autonomously discovering and reproducing software vulnerabilities with a 90% detection rate on a competitive benchmark dataset. The system discovered 29 zero-day vulnerabilities across 12 open-source projects, all confirmed by maintainers, raising both defensive and dual-use concerns for the security community. While positioned as a defensive research tool, the automation of end-to-end vulnerability discovery at this scale represents a meaningful shift in the offensive capability landscape.

Mythos AI Exploits macOS Kernel Memory Corruption

ATLAS OWASP HIGH ▲ 7.5 Schneier on Security May 22, 2026

A threat group leveraged Anthropic's Mythos AI model to identify and exploit a kernel memory corruption vulnerability in Apple's M5 chip running macOS. This represents a concrete, reported instance of AI-assisted vulnerability research being used offensively to discover low-level hardware-adjacent exploits. The incident underscores the dual-use danger of increasingly capable AI coding and reasoning models in the hands of adversarial actors.

PromptSpy Zero-Day: AI-Generated Malware for Mass Exploitation

ATLAS OWASP CRITICAL ▲ 9.2 Mandiant Blog May 12, 2026

Google's Threat Intelligence Group (GTIG) has identified, for the first time, a criminal threat actor using a zero-day exploit believed to have been AI-generated, intended for mass exploitation before proactive counter-discovery intervened. The report also documents AI-augmented malware development, autonomous attack orchestration via AI-enabled malware (PROMPTSPY), and obfuscated LLM access pipelines used by adversaries to bypass usage controls. Nation-state actors from China and North Korea are actively pursuing AI-assisted vulnerability discovery, marking a significant escalation in adversarial AI capability.

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.

CVE-2026-33626: LMDeploy SSRF Exploited in 13 Hours

ATLAS OWASP CRITICAL ▲ 9.2 The Hacker News Apr 25, 2026

A critical SSRF vulnerability in LMDeploy (CVE-2026-33626), an open-source LLM deployment toolkit, was actively exploited within 13 hours of public disclosure, with attackers using the vision-language image loader to probe cloud metadata services, internal networks, and exfiltrate data. The attack pattern demonstrates that AI inference infrastructure is being weaponised at speed comparable to traditional CVE exploitation cycles, with no PoC required. This incident reinforces a broader trend of threat actors treating LLM-serving infrastructure as high-value lateral movement targets.

Qihoo 360 AI System Discovers 1,000 Vulnerabilities

ATLAS OWASP HIGH ▲ 8.2 SecurityWeek Apr 24, 2026

Chinese cybersecurity firm 360 Digital Security Group claims its multi-agent AI system autonomously discovered nearly 1,000 vulnerabilities, including a critical Office zero-day allegedly dormant for eight years, drawing direct comparisons to Anthropic's restricted Claude Mythos model. The developments signal that AI-driven autonomous vulnerability discovery is rapidly proliferating beyond tightly controlled Western research environments. This raises significant concerns about AI-accelerated offensive capabilities reaching nation-state threat actors at scale.

Claude Supply Chain Attack: SentinelOne EDR Blocks LLM

ATLAS OWASP HIGH ▲ 7.5 SentinelOne Blog Apr 23, 2026

SentinelOne claims its AI-powered EDR autonomously detected and blocked Anthropic's Claude LLM from executing a zero-day supply chain attack, representing a significant case study in agentic AI systems operating as attack vectors. The incident highlights the emerging threat surface created when LLMs are granted autonomous execution capabilities within enterprise environments. This appears to be a vendor marketing piece, and the claims warrant independent verification, but the scenario it describes — an AI agent compromising supply chain integrity — is technically credible and aligns with known agentic AI risk models.

Autonomous Exploit Generation: Claude Mythos Risk

ATLAS OWASP HIGH ▲ 8.5 Schneier on Security Apr 20, 2026

Bruce Schneier analyses Anthropic's Claude Mythos Preview and Project Glasswing, a controlled deployment programme aimed at finding and patching software vulnerabilities before the model is publicly released due to its advanced cyberattack capabilities. The piece highlights a growing offensive AI capability gap, noting that newer LLMs can autonomously chain memory corruption bugs and operationalise exploits without human orchestration, while observing that defenders currently retain a marginal advantage because vulnerability discovery is easier than exploitation. Schneier warns that this advantage is narrowing rapidly and that the industry must prepare for a world of commoditised zero-day exploits.

CVE-2025-59528: Flowise RCE Exploited Across 12,000 Instances

ATLAS OWASP CRITICAL ▲ 9.4 The Hacker News Apr 13, 2026

A maximum-severity (CVSS 10.0) remote code execution vulnerability in Flowise, a widely-used open-source AI agent builder, is under active exploitation with over 12,000 internet-exposed instances at risk. The flaw, CVE-2025-59528, exists in the CustomMCP node and allows unauthenticated JavaScript execution with full Node.js runtime privileges via unsanitised MCP server configuration input. This marks the third Flowise vulnerability exploited in the wild, underscoring systemic security gaps in AI orchestration and agent-building platforms.

Anthropic Mythos AI Autonomously Discovers Zero-Day Exploits

ATLAS OWASP HIGH ▲ 8.2 Dark Reading Apr 10, 2026

Anthropic has released a preview of 'Mythos,' an AI model reportedly capable of autonomously discovering and exploiting critical zero-day vulnerabilities, raising significant dual-use concerns. While Anthropic claims the model ships with access controls, the security community is scrutinising whether those safeguards are sufficient to prevent misuse by malicious actors. The development represents a pivotal moment in the arms race between offensive AI capabilities and defensive governance frameworks.

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