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 342 results — Critical severityPraisonAI: unauthenticated RCE via MCP connect endpoint
GHSA-p75f-6fp4-p57w PraisonAI AgentOS: unauth remote agent invocation (CVSS 9.8)
GHSA-892r-p3jq-jp24 praisonaiagents: unauth AgentTeam API allows agent takeover
GHSA-x8cv-xmq7-p8xp praisonai: unauthenticated Jobs API enables remote agent RCE
GHSA-fq2m-6wqh-x44g praisonai: silent auth bypass exposes agent exec endpoints
GHSA-j4hj-7hfh-g2f4 PraisonAI: Unauthenticated RCE via Jobs API auth bypass
GHSA-4869-x4pr-q22x praisonaiagents: unauthenticated MCP SSE server enables RCE
GHSA-x227-pf99-vffg Langflow: unauthenticated upload → DoS + path disclosure
CVE-2026-55450 picklescan: scanner bypass enables pickle RCE
CVE-2026-53874 picklescan: blocklist bypass allows arbitrary code exec
CVE-2026-53873 picklescan: blocklist bypass enables full RCE
CVE-2026-3490 picklescan: scanner bypass enables RCE via model files
CVE-2025-71325 picklescan: ctypes bypass enables full RCE via pickle files
CVE-2025-71323 picklescan: blocklist bypass allows arbitrary file write/RCE
CVE-2025-71321 picklescan: deny-list bypass enables arbitrary RCE
CVE-2025-71320 Oracle Coherence: unauthenticated HTTP full takeover
CVE-2026-35310 Oracle Coherence: unauthenticated RCE via HTTP (CVSS 9.8)
CVE-2026-35309 Oracle Coherence: unauthenticated RCE via third-party jars
CVE-2026-35308 Oracle Coherence: unauthenticated RCE, CVSS 10.0
CVE-2026-35307 Oracle Coherence: unauthenticated data access via HTTP
CVE-2026-35306 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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