AI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
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Latest AI Security Threats
Showing 20 of 1527 results — Medium severityfilelock: symlink race in stale-lock restore links files
CVE-2026-112914FastMCP: post-transform authorization skip exposes tools
GHSA-7xgj-8392-5q4rZephyr RTOS: predictable DHCPv4 xid enables gateway/DNS hijack
CVE-2026-79980SiYuan: auth oracle leaks hidden document existence
CVE-2026-73630SiYuan: hidden-tier docs leak via AV backlinks API
CVE-2026-73049SiYuan: publish storage endpoint leaks admin context
GHSA-xp3q-r38w-vgqmGoobi viewer: Solr injection exposes restricted records
CVE-2026-55465virtualenv: symlink following allows file overwrite
CVE-2026-113721Splunk Enterprise: CSRF via GET disables federated search
CVE-2026-76297virtualenv: symlink following allows writes outside venv
CVE-2026-113716virtualenv: symlink-following chmod alters file permissions
CVE-2026-113724Red Hat CA store: weak eMudhra intermediates enable TLS MITM
CVE-2026-114406Pydantic AI Harness: tool-call limit bypass in CodeMode
CVE-2026-114386libmodulemd: out-of-bounds read causes local DoS
CVE-2026-92824libmodulemd: unbounded xmd recursion causes DoS
CVE-2026-92822libmodulemd: decompression bomb causes local DoS
CVE-2026-92823vLLM: cache aliasing leaks cross-request media/KV state
CVE-2026-114054tt-metal: path traversal in checkpoint loader
CVE-2026-113743PeopleSoft PeopleTools: Panel Processor data tampering
CVE-2026-87355Pillow: TIFF tile heap over-read enables DoS and memory leak
CVE-2026-112395Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
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