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 1961 results — Active exploitationPyTorch: memory corruption in JIT profiler callback handler
CVE-2025-2148picklescan: ZIP flag bypass enables RCE in PyTorch models
CVE-2025-1945picklescan: ZIP spoof lets malicious PyTorch models bypass scan
CVE-2025-1944spacy-llm: SSTI allows unauthenticated RCE (CVSS 9.8)
CVE-2025-25362picklescan: scanner bypass enables supply chain RCE
CVE-2025-1716picklescan: extension bypass enables RCE on model load
CVE-2025-1889gpt_academic: symlink traversal exposes all server files
CVE-2025-25185Label Studio: reflected XSS via label_config param
CVE-2025-25296Label Studio SDK: path traversal leaks server filesystem
CVE-2025-25295serialize-javascript: XSS via regex in AI/ML dashboards
CVE-2024-11831Gradio: ACL bypass via path case manipulation
CVE-2025-23042Composio: command injection in AI agent tool calls
CVE-2024-53526Keras: path traversal enables arbitrary file write
CVE-2024-55459WP Text Prompter: Stored XSS in OpenAI shortcode plugin
CVE-2024-11896Lobe Chat: pre-auth SSRF leaks OpenAI API keys
CVE-2024-32965Transformers: RCE via Trax model deserialization
CVE-2024-11394Transformers: RCE via MaskFormer model deserialization
CVE-2024-11393HuggingFace Transformers: RCE via config deserialization
CVE-2024-11392LlamaFactory: RCE via OS command injection in training
CVE-2024-52803Intel Extension for Transformers: path traversal privesc
CVE-2024-21799Frequently 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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