MediumVulnerabilityLLM-specific
CVE-2026-92365: vLLM inefficient algorithmic complexity in thinking budget state handling
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2026-92365
- Published
- Record updated
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.5%
Summary
A vulnerability was found in vllm-project vllm up to 0.29.0. The flaw sits in unspecified functionality of vllm/v1/sample/thinking_budget_state.py and is triggered by manipulation that results in inefficient algorithmic complexity. It can be exploited remotely.
Mitigation
The pull request to fix this issue awaits acceptance.
Topics
Related items
- LowCloakFEM: Agentic FEM Code Generation for Red-Teaming Computational Resource ExhaustionSimilar attack · Arxiv (cs.CR + cs.CL + cs.LG)
- MediumThe Rise of LLMJacking: How Threat Actors Monetize Compromised Cloud and Model ResourcesSimilar attack · Google Threat Intelligence
- InfoThe Blind Spots of Detection: Adversarial Perturbation Attacks against Watchdogs in Distributed LLM InferenceSimilar attack · Arxiv (cs.CR + cs.CL + cs.LG)
- HighCVE-2026-118761: Kubeflow Pipelines decompression bomb in pipeline archive uploadSimilar attack · NVD/CVE Database
- LowOpenCode User Hit with Hostile Backlash After Reporting Free AI LoopholeSimilar attack · Socket Blog