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 3018 resultsPeopleSoft: unauthorized data access via Panel Processor
CVE-2026-60152 PeopleSoft PeopleTools: CSRF-style data tampering flaw
CVE-2026-47024 Gitea: cached permission check allows repo takeover
CVE-2026-27775 lmdeploy: SSRF via redirect bypasses private IP guard
CVE-2026-63764 Kirby Modules: license key disclosure via activate dialog
CVE-2026-63092 Kubeflow: token theft lets any user hijack accounts
CVE-2026-47237 Gitea: LFS deploy-key flaw leaks private repo objects
CVE-2026-58435 MCP Toolbox: SQLi bypasses BigQuery allowedDatasets ACL
CVE-2026-15829 Grav CMS API plugin: forged keys enable account takeover
CVE-2026-65007 WPBot: missing auth check lets subscribers edit RAG config
CVE-2026-14185 AgenticMail: unauthenticated email hijacks AI agent
CVE-2026-57495 Pillow: OOB read/DoS via unchecked mmap stride (McIdas)
CVE-2026-54058 @ai-sdk/harness-codex: tool relay authz bypass
CVE-2026-64650 GPT-SoVITS: unauthenticated RCE via webui.py
CVE-2026-63766 ktransformers: unauth pickle RCE via ZMQ socket
CVE-2026-63767 onenote_parser: path traversal via crafted .onetoc2 file
CVE-2026-46671 Keras: unsafe pickle deserialization allows RCE
CVE-2026-12484 Lollms: stored XSS in prompt-share DM inbox
CVE-2026-12228 dd-trace: unbounded W3C baggage parsing enables DoS
CVE-2026-50272 dd-trace-py: unbounded baggage header parsing causes DoS
CVE-2026-50271 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?
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