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.

Each CVE is enriched with
  • CVSS severity
  • EPSS exploit probability
  • Exploitation confidence
  • AI-component classification
  • Compliance mappings
4,307

AI/ML CVEs Tracked

533

Critical

95

New This Week

25

In CISA KEV

Latest AI Security Threats

Showing 20 of 4307 results
SeverityCVE IDSummaryCVSSEPSSPackageDate
HIGHECVE-2025-9906Keras: safe_mode bypass enables RCE via model load7.30.2%kerasSep 19HIGHECVE-2025-9905Keras: safe_mode bypass enables RCE via .h5 model files7.30.2%kerasSep 19HIGHECVE-2025-10155picklescan: file extension bypass allows model RCE7.80.8%picklescanSep 17MEDICVE-2025-58177n8n: stored XSS in LangChain chat trigger (public)5.40.2%n8nSep 15MEDIECVE-2025-6051Transformers: ReDoS in EnglishNormalizer exhausts CPU5.30.4%transformersSep 14CRITECVE-2025-58434Flowise: auth bypass in reset flow allows full ATO9.882.6%flowiseSep 12CRITECVE-2025-9556langchaingo: Jinja2 SSTI allows host filesystem read9.80.7%—Sep 12HIGHECVE-2025-6638HuggingFace Transformers: ReDoS in MarianTokenizer7.50.6%transformersSep 12HIGHECVE-2025-10156Picklescan: CRC bypass hides malicious pickle in ZIP7.51.5%picklescanSep 10HIGHECVE-2025-10157PickleScan: subclass bypass enables malicious model RCE8.30.8%picklescanSep 10HIGHECVE-2025-58757MONAI: unsafe pickle deserialization RCE in data pipeline8.80.6%monaiSep 9HIGHECVE-2025-58756MONAI: unsafe deserialization in CheckpointLoader allows RCE8.80.8%monaiSep 9HIGHECVE-2025-58755MONAI: path traversal allows arbitrary file write8.80.6%monaiSep 9HIGHECVE-2025-56265n8n: unrestricted file upload RCE via Chat Trigger8.80.6%n8nSep 8MEDIECVE-2025-58446xgrammar: DoS via oversized JSON schema grammar parsing—0.6%xgrammarSep 5HIGHECVE-2025-6984EverNoteLoader: XXE exposes host files in LangChain7.51.6%langchain-communitySep 4MEDIGHSA-q77w-mwjj-7mqxpicklescan: scanner bypass enables model RCE——picklescanAug 26MEDIGHSA-49gj-c84q-6qm9picklescan: scanner bypass enables RCE via ML model files——picklescanAug 26MEDIGHSA-9w88-8rmg-7g2ppicklescan: scan bypass allows silent RCE via ML models——picklescanAug 26MEDIGHSA-fqq6-7vqf-w3fgpicklescan: detection bypass allows undetected RCE in ML models——picklescanAug 26

Frequently 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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