AI Threat AlertAI 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 1908 results — High severityCVE-2025-71378picklescan: detection bypass enables RCE via pickle files8.10.5%picklescanJun 21HIGHECVE-2025-71357picklescan: detection bypass enables RCE via malicious models8.10.4%picklescanJun 21HIGHECVE-2025-71351picklescan: scanner bypass enables RCE via pickle files—0.6%picklescanJun 21HIGHECVE-2025-71348picklescan: scanner bypass enables supply chain RCE8.10.6%picklescanJun 21HIGHECVE-2026-12795litellm: auth bypass in SSO debug exposes LLM proxy7.30.8%litellmJun 21HIGHECVE-2026-12773litellm: auth bypass in MCP proxy, no credentials required7.31.0%litellmJun 21HIGHECVE-2026-12771litellm: JWT auth bypass in M2M proxy handler7.50.4%litellmJun 21HIGHECVE-2026-12770litellm: auth bypass in Admin Key Handler endpoint8.80.6%litellmJun 21HIGHECVE-2026-56340vLLM: sparse tensor DoS/memory corruption via embeddings7.50.6%vllmJun 20HIGHCVE-2025-71379vLLM: ReDoS via crafted API input causes DoS7.50.5%vllmJun 20HIGHGHSA-6vxv-wg6j-5qwpGogs: XSS via outdated Jupyter renderer, account takeover——gogs.io/gogsJun 19HIGHGHSA-mrvx-jmjw-vggcmcp-searxng: SSRF via DNS rebinding in web_url_read7.1——Jun 19HIGHGHSA-xcqx-9jf5-w339mcp-searxng: DoS via unbounded URL response read7.5——Jun 19HIGHECVE-2026-55446Langflow: pre-auth DoS via malformed multipart boundary7.50.6%langflowJun 19HIGHECVE-2026-54528jupyterlab-git: excluded_paths bypass exposes secrets7.10.4%jupyterlab-gitJun 19HIGHECVE-2026-54499Stanza: pickle fallback bypass enables model RCE7.50.5%torchJun 19HIGHECVE-2026-54317Home Assistant Konnected: auth bypass leaks alarm panel state7.60.3%homeassistantJun 19HIGHCVE-2026-53489containerd: symlink follow leaks host files via kubectl logs—0.2%github.com/containerd/containerd/v2Jun 19HIGHCVE-2026-53488containerd: label injection enables host RCE via CRI plugin—0.2%github.com/containerd/containerd/v2Jun 19HIGHECVE-2026-56211libaom: AV1 SVC OOB write enables RCE7.10.9%rhaiis/vllm-cpu-rhel9Jun 19Frequently 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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