CVE-2026-92365: A vulnerability was found in vllm-project vllm up to 0.29.0. Affected by this issue is some unknown functionality of the
Summary
A vulnerability was discovered in vllm (an open-source language model serving framework) version 0.29.0 and earlier, where a flaw in the thinking_budget_state.py file causes inefficient algorithmic complexity (meaning the code takes much longer to run than it should as the input size grows). This vulnerability can be triggered remotely, meaning an attacker doesn't need direct access to the affected system.
Vulnerability Details
4.3(medium)
EPSS: 0.0%
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
network
low
low
none
September 16, 2026
Classification
Affected Vendors
Related Issues
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-92365
First tracked: September 16, 2026 at 02:08 PM
Classified by LLM (prompt v3) · confidence: 85%