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 1431 results — has patchanthropic-sdk: insecure file perms expose agent memory
CVE-2026-34450MLflow: command injection via model_uri in mlserver mode
CVE-2026-0596OpenClaw: .npmrc hijack enables RCE on plugin install
GHSA-m3mh-3mpg-37hwOpenClaw: HTTP scope bypass enables model enumeration
GHSA-68f8-9mhj-h2mpOpenClaw: sandbox escape via mediaUrl path traversal
GHSA-hr5v-j9h9-xjhgMLflow: RCE via unsanitized model dependency specs
CVE-2025-15379MLflow: path traversal enables sandbox escape, file overwrite
CVE-2025-15036openclaw: webhook rate-limit bypass enables token brute-force
CVE-2026-35646openclaw: unauthenticated webhook parsing enables DoS
CVE-2026-35640openclaw: SSRF in channel extensions hits internal network
CVE-2026-35629openclaw: auth bypass exposes agent session history via HTTP
CVE-2026-35657Langflow: IDOR exposes flows and plaintext API keys
CVE-2026-34046Langflow: server-side RCE via LLM-generated code exec
CVE-2026-33873langchain-core: path traversal exposes host secrets via prompt config
CVE-2026-34070@mobilenext/mobile-mcp: path traversal via AI agent tool
CVE-2026-33989n8n: stored XSS via malicious OAuth2 Authorization URL
GHSA-364x-8g5j-x2prn8n: Stored XSS in Chat Trigger via CSS injection
GHSA-3c7f-5hgj-h279n8n: stored XSS enables phishing via Form Node
GHSA-w673-8fjw-457cn8n: Stored XSS in Form Trigger enables phishing
GHSA-q4fm-pjq6-m63gOpen WebUI: IDOR exposes AI memories and private files
CVE-2026-29071Frequently 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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