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 472 results — Medium severity, Active exploitationFiboSearch: unauthenticated AJAX leaks password-protected products
CVE-2026-16612 tract: malformed ONNX model triggers buffer flaw
CVE-2026-75093 MLflow: missing authZ lets users forge dataset lineage
CVE-2026-69146 Transformers: path traversal via checkpoint shards
CVE-2026-75104 vLLM: SSRF/LFI bypass in MiMo-V2 multimodal input
CVE-2026-73560 vLLM: integer overflow leaks other users' output
CVE-2026-73558 vLLM: ReDoS in structured output stalls engine
CVE-2026-73556 Flowise: unauth TTS endpoint drains stored API keys
CVE-2026-73603 SiYuan: authZ gap leaks private PDF annotations
CVE-2026-72808 SiYuan: broken access control exposes private docs
CVE-2026-72799 SiYuan: missing authz leaks encrypted notebook metadata
CVE-2026-72797 SiYuan: missing authz leaks notebook metadata
CVE-2026-72790 SiYuan: unauth info leak exposes admin workspace via getConf
CVE-2026-72788 Ray Enterprise Translation WP plugin: broken access control
CVE-2026-14549 Ray Translation WP: Subscribers can hijack API token
CVE-2026-14548 Keras: OOM DoS via malicious .keras model load
CVE-2026-12570 openclaw-cn: symlink escape bypasses agent sandbox
CVE-2026-19008 openclaw-cn: broken privilege check on elevated senders
CVE-2026-19007 openclaw-cn: auth bypass in bash exec approval gate
CVE-2026-19006 InnoShop: path traversal in file manager deletes files
CVE-2026-18959 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?
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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