As of November 6, 2026, the National Vulnerability Database has recorded 52 CVEs related to prompt injection in LLM and agent software. These vulnerabilities, predominantly categorized as high or critical severity with a median CVSS score of 8.0, have seen a significant increase in reported incidents since September. Coding agents, AI gateways, and MCP servers are among the most affected product types, often involving classic vulnerabilities like server-side request forgery or missing authorization as entry points for prompt injection. AI
IMPACT Highlights the growing and quantifiable security risks associated with prompt injection in LLM applications, emphasizing the need for robust defenses.
RANK_REASON The item details a quantitative analysis of registered vulnerabilities (CVEs) related to prompt injection in LLM software, including severity, timeline, product types, and weakness classes, based on data from the National Vulnerability Database. [lever_c_demoted from research: ic=1 ai=1.0]
- code injection
- CWE-436
- CWE-502
- CWE-862
- CWE-918
- GitHub
- Hugging Face
- Kaggle
- National Vulnerability Database
- OWASP
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