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 943 results — High severity, Active exploitationFlyto2 Core: SSRF via unvalidated URLs in agent tools
CVE-2026-67428Flyto2 Core: SSRF leaks LLM API keys via base_url
CVE-2026-67425Quarkus: HTTP auth bypass via %3B/%2F path smuggling
CVE-2026-50559Pterodactyl Wings: JWT reuse enables file upload bypass
CVE-2026-54593Pterodactyl Panel: global rate limiter enables panel-wide login DoS
CVE-2026-61609Open WebUI: broken authz lets users overwrite channel chats
CVE-2026-59714CyberPanel: IDOR exposes cross-tenant backups
CVE-2026-65917Ollama: crafted GGUF file crashes inference server
CVE-2026-65315Gitea: cached permission check allows repo takeover
CVE-2026-27775lmdeploy: SSRF via redirect bypasses private IP guard
CVE-2026-63764Kubeflow: token theft lets any user hijack accounts
CVE-2026-47237Pillow: OOB read/DoS via unchecked mmap stride (McIdas)
CVE-2026-54058Keras: unsafe pickle deserialization allows RCE
CVE-2026-12484xdgmime: heap overflow in magic file parsing
CVE-2026-16118TGI: SSRF via image_url exposes cloud metadata creds
CVE-2026-63086PyTorch Lightning: RCE via malicious checkpoint files
CVE-2026-58659PraisonAI: RCE via unsigned plugin auto-load
CVE-2026-61446PraisonAI: path traversal leads to RCE via SkillTools
CVE-2026-61443PraisonAI: RCE via broken AST sandbox in workflows
CVE-2026-61438PraisonAI: missing webhook signature check spoofs agents
CVE-2026-61436Frequently 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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