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 1562 results — no patchpicklescan: ZIP flag bypass enables RCE in PyTorch models
CVE-2025-1945 B2B Login Panel: SQLi enables unauthenticated DB access
CVE-2024-13147 vLLM AIBrix: weak hash in prefix cache leaks inference patterns
CVE-2025-1953 gpt_academic: symlink traversal exposes all server files
CVE-2025-25185 Mobuy Panel: SQLi allows unauthenticated DB takeover
CVE-2024-13152 PandasAI: prompt injection enables unauthenticated RCE
CVE-2024-12366 serialize-javascript: XSS via regex in AI/ML dashboards
CVE-2024-11831 vLLM: hash collision enables prefix cache poisoning
CVE-2025-25183 vLLM: unsafe deserialization RCE via model loading
CVE-2025-24357 Jobify WP: missing authz allows OpenAI key abuse, SSRF
CVE-2024-13698 nbgrader: Clickjacking exposes formgrader via IFrame
CVE-2025-23205 Gradio: ACL bypass via path case manipulation
CVE-2025-23042 Keras: path traversal enables arbitrary file write
CVE-2024-55459 AIDeepin: MD5 collision enables RAG knowledge base poisoning
CVE-2025-21604 free-one-api: MD5 hashing allows credential cracking
CVE-2024-56516 WP Text Prompter: Stored XSS in OpenAI shortcode plugin
CVE-2024-11896 Lobe Chat: pre-auth SSRF leaks OpenAI API keys
CVE-2024-32965 MLflow: local privilege escalation via spark_udf ToCToU
CVE-2024-27134 Transformers: RCE via Trax model deserialization
CVE-2024-11394 Transformers: RCE via MaskFormer model deserialization
CVE-2024-11393 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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