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 229 results — Critical severity, no patchOracle Coherence: unauthenticated HTTPS takeover
CVE-2026-35304 backpropagate: auth bypass exposes LLM training plane
CVE-2026-48797 Oracle APM: unauthenticated write/DoS via JVM Diagnostics
CVE-2026-46858 OpenClaw: approval scope bypass via reconnection state
CVE-2026-53838 Boxlite: OCI symlink traversal enables host RCE
CVE-2026-46703 Flowise: sandbox escape enables authenticated RCE
CVE-2026-46442 Flowise: mass assignment breaks multi-tenant isolation
CVE-2026-46441 Flowise: plaintext auth brute-force, no rate limit
CVE-2026-46440 AVideo YPTSocket: Stored DOM XSS enables admin takeover
GHSA-8whc-2wmv-ww35 transformers: trust_remote_code bypass enables RCE via model load
CVE-2026-5241 OpenMed: RCE via trust_remote_code model loading
CVE-2026-47117 IBM WebSphere: RCE via JAX-WS deserialization (CVSS 9.0)
CVE-2026-9319 Langflow: RCE via symlink traversal in archive extraction
CVE-2026-7524 guardrails-ai: malicious 0.10.1 enables host compromise
CVE-2026-45758 mistralai 2.4.6: supply chain dropper executes on import
GHSA-wx9m-wx4f-4cmg ChromaDB: pre-auth RCE via trust_remote_code injection
CVE-2026-45829 guardrails-ai: RCE via malicious Hub package manifest
CVE-2026-31233 mamba: RCE via unsafe torch.load() on model load
CVE-2026-31239 Ludwig: RCE via unsafe pickle deserialization in model serve
CVE-2026-31238 ART: torch.load() RCE via insecure deserialization
CVE-2026-31229 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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