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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 1961 results — Active exploitationCVE-2026-58435Gitea: LFS deploy-key flaw leaks private repo objects5.40.3%code.gitea.io/giteaJul 21CRITECVE-2026-65007Grav CMS API plugin: forged keys enable account takeover9.60.3%—Jul 21MEDIECVE-2026-14185WPBot: missing auth check lets subscribers edit RAG config4.30.3%—Jul 21UNKNECVE-2026-57495AgenticMail: unauthenticated email hijacks AI agent—0.4%—Jul 20HIGHECVE-2026-54058Pillow: OOB read/DoS via unchecked mmap stride (McIdas)—0.5%pillowJul 20CRITECVE-2026-63766GPT-SoVITS: unauthenticated RCE via webui.py9.82.1%—Jul 20CRITECVE-2026-63767ktransformers: unauth pickle RCE via ZMQ socket9.81.1%ktransformersJul 20MEDIECVE-2026-15588GLib GDBus: unbounded auth line enables local DoS5.30.5%rhaiis/vllm-cuda-rhel9Jul 20HIGHECVE-2026-12484Keras: unsafe pickle deserialization allows RCE7.80.3%kerasJul 19UNKNECVE-2026-12228Lollms: stored XSS in prompt-share DM inbox—0.3%parisneo/lollmsJul 18HIGHECVE-2026-16118xdgmime: heap overflow in magic file parsing7.10.3%rhaiis/vllm-cuda-rhel9Jul 17CRITCVE-2026-9198Langflow: token forgery + exec() chain to RCE9.828.7%Langflow OSSJul 17HIGHECVE-2026-63086TGI: SSRF via image_url exposes cloud metadata creds8.60.4%text-generation-inferenceJul 16MEDIECVE-2026-54497ViewComponent: stale context leaks admin UI cross-user6.80.3%view_componentJul 15CRITECVE-2026-54458AVideo: stored XSS in YPTSocket enables admin takeover9.60.4%—Jul 15UNKNECVE-2026-45535DataEase: stored SQL injection via dataset variables—0.4%—Jul 15HIGHECVE-2026-58659PyTorch Lightning: RCE via malicious checkpoint files7.80.6%pytorch-lightningJul 15HIGHECVE-2026-61446PraisonAI: RCE via unsigned plugin auto-load8.40.3%PraisonAIJul 15HIGHECVE-2026-61443PraisonAI: path traversal leads to RCE via SkillTools8.10.6%PraisonAIJul 15MEDIECVE-2026-61440PraisonAI: broken authz lets members hijack labels6.50.3%PraisonAIJul 15Frequently 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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