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 2876 results — no patchJupyterLab: language pack Plural-Forms code injection
CVE-2026-102830OpenClaw: MCP app ticket bypass lets read tokens invoke write tools
CVE-2026-102807OpenClaw: sandbox isolation bypass via media pipelines
CVE-2026-102806Ollama: agent Bash approval bypass via shell operators
CVE-2026-102697Quick.Cart: CSRF in admin panel allows credential takeover
CVE-2026-41875rpm: heap overflow parsing crafted RPM hits RHOAI images
CVE-2026-95520LiteLLM: JWT email fallback enables admin account takeover
CVE-2026-93355GCC libstdc++: erase_if use-after-free causes DoS
CVE-2026-102010Langflow: eval() code injection via component options
CVE-2026-101861Unsloth Zoo: code injection via model_type enables RCE
CVE-2026-93348code-ollama: shell injection in grep_search allows RCE
GHSA-456v-xq2p-r4cjBaoTa aaPanel: SQL injection in domain status handler
CVE-2026-101011aaPanel BaoTa: OS command injection in unzip handler
CVE-2026-101009BaoTa Panel: SQL injection in log_type via getData
CVE-2026-101010aaPanel BaoTa: command injection in file merge handler
CVE-2026-101008MONAI: unsafe pickle deserialization allows RCE
CVE-2026-100846MONAI: unsafe pickle deserialization in NumpyReader RCE
CVE-2026-100845MONAI: OS command injection via nnUNetV2Runner config
CVE-2026-100844MONAI: unsafe pickle deserialization enables RCE
CVE-2026-100843MONAI: eval sandbox bypass allows code execution
CVE-2026-100842Frequently 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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