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
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Latest AI Security Threats
Showing 20 of 544 results — Medium severity, has patchpicklescan: detection bypass allows RCE via ML model files
GHSA-6w4w-5w54-rjvrpicklescan: RCE bypass via idlelib SetText evasion
GHSA-3vg9-h568-4w9mpicklescan: scanner bypass enables RCE in ML models
GHSA-f54q-57x4-jg88picklescan: scanner bypass enables RCE via ML models
GHSA-6vqj-c2q5-j97wpicklescan: scan bypass allows RCE in ML pipelines
GHSA-x696-vm39-cp64picklescan: scanner bypass enables RCE in ML pipelines
GHSA-g344-hcph-8vggpicklescan: bypass enables undetected RCE in ML models
GHSA-5qwp-399c-mjwfpicklescan: PyTorch gadget bypasses scanner, enables RCE
GHSA-vv6j-3g6g-2pvjpicklescan: PyTorch gadget bypasses pickle RCE detection
GHSA-vr7h-p6mm-wpmhpicklescan: detection bypass via PyTorch proxy RCE
GHSA-h3qp-7fh3-f8h4picklescan: RCE bypass via torch.utils.collect_env
GHSA-f745-w6jp-hpxxpicklescan: scanner bypass enables RCE via PyTorch function
GHSA-f4x7-rfwp-v3xwpicklescan: detection bypass enables PyTorch model RCE
GHSA-86cj-95qr-2p4fpicklescan: PyTorch bypass allows undetected RCE
GHSA-4r9r-ch6f-vxmxllama-index: DocugamiReader MD5 hash collision drops chunks
CVE-2025-6211llama-index: JSONReader DoS via recursive JSON parsing
CVE-2025-5472llama-index Obsidian reader: hardlink path traversal leaks files
CVE-2025-6210llama-index ArxivReader: MD5 collision corrupts training data
CVE-2025-3044llama-index: RCE via unsafe pickle deserialization
CVE-2025-3108MLflow: unauthenticated SSRF in gateway proxy
CVE-2025-52967Frequently 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.
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