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 4330 resultsKubeflow: token theft lets any user hijack accounts
CVE-2026-47237Gitea: LFS deploy-key flaw leaks private repo objects
CVE-2026-58435MCP Toolbox: SQLi bypasses BigQuery allowedDatasets ACL
CVE-2026-15829Grav CMS API plugin: forged keys enable account takeover
CVE-2026-65007WPBot: missing auth check lets subscribers edit RAG config
CVE-2026-14185AgenticMail: unauthenticated email hijacks AI agent
CVE-2026-57495Pillow: OOB read/DoS via unchecked mmap stride (McIdas)
CVE-2026-54058@ai-sdk/harness-codex: tool relay authz bypass
CVE-2026-64650GPT-SoVITS: unauthenticated RCE via webui.py
CVE-2026-63766ktransformers: unauth pickle RCE via ZMQ socket
CVE-2026-63767onenote_parser: path traversal via crafted .onetoc2 file
CVE-2026-46671GLib GDBus: unbounded auth line enables local DoS
CVE-2026-15588Keras: unsafe pickle deserialization allows RCE
CVE-2026-12484Lollms: stored XSS in prompt-share DM inbox
CVE-2026-12228dd-trace: unbounded W3C baggage parsing enables DoS
CVE-2026-50272dd-trace-py: unbounded baggage header parsing causes DoS
CVE-2026-50271Langflow: hard-coded credentials enable takeover
CVE-2026-13446Langflow: SaveToFile flaw breaks user storage isolation
CVE-2026-13445Langflow: path traversal writes arbitrary files
CVE-2026-8859Langflow: DB manipulation escalates to superuser RCE
CVE-2026-8635Frequently 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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