CyberRota Analysis
AI-GeneratedThe vLLM inference engine prior to version 0.24.0 is vulnerable due to the structured_outputs.regex API parameter, which allows user-supplied regular expressions to be processed without adequate safeguards, leading to potential denial of service through resource exhaustion. Attackers can exploit this flaw by submitting complex regex patterns that cause the inference worker to hang indefinitely. Organizations utilizing vLLM for large language model inference should prioritize upgrading to version 0.24.0 to mitigate this high-severity vulnerability.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
Note: these links are listed for security research and verification purposes only.
Original NVD Description
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, the structured_outputs.regex API parameter passes a user-supplied regular expression string directly to the grammar compiler backends with no compilation timeout; in the xgrammar backend the string reaches the regex compiler with no guard, and in the outlines backend the validation step blocks structural issues such as lookarounds and backreferences but performs no complexity analysis, so a pattern with nested quantifiers passes all checks and causes exponential state-space expansion, allowing a single request containing an adversarial regex to hang an inference worker indefinitely and deny service. This issue is fixed in version 0.24.0.
Related CVEs
Other vulnerabilities affecting the same vendor(s)