AI Threat AlertAI 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 4307 resultsKeras: safe_mode bypass enables RCE via model load
CVE-2025-9906Keras: safe_mode bypass enables RCE via .h5 model files
CVE-2025-9905picklescan: file extension bypass allows model RCE
CVE-2025-10155n8n: stored XSS in LangChain chat trigger (public)
CVE-2025-58177Transformers: ReDoS in EnglishNormalizer exhausts CPU
CVE-2025-6051Flowise: auth bypass in reset flow allows full ATO
CVE-2025-58434langchaingo: Jinja2 SSTI allows host filesystem read
CVE-2025-9556HuggingFace Transformers: ReDoS in MarianTokenizer
CVE-2025-6638Picklescan: CRC bypass hides malicious pickle in ZIP
CVE-2025-10156PickleScan: subclass bypass enables malicious model RCE
CVE-2025-10157MONAI: unsafe pickle deserialization RCE in data pipeline
CVE-2025-58757MONAI: unsafe deserialization in CheckpointLoader allows RCE
CVE-2025-58756MONAI: path traversal allows arbitrary file write
CVE-2025-58755n8n: unrestricted file upload RCE via Chat Trigger
CVE-2025-56265xgrammar: DoS via oversized JSON schema grammar parsing
CVE-2025-58446EverNoteLoader: XXE exposes host files in LangChain
CVE-2025-6984picklescan: scanner bypass enables model RCE
GHSA-q77w-mwjj-7mqxpicklescan: scanner bypass enables RCE via ML model files
GHSA-49gj-c84q-6qm9picklescan: scan bypass allows silent RCE via ML models
GHSA-9w88-8rmg-7g2ppicklescan: detection bypass allows undetected RCE in ML models
GHSA-fqq6-7vqf-w3fgFrequently 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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