CVE-2026-73557: vLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safe_load_prompt_embeds
Summary
vLLM (an AI inference and serving engine for large language models) versions 0.20.2rc0 to 0.26.0 have a vulnerability where concurrent requests to the chat API can bypass safety checks on prompt embeddings (pre-computed numerical representations of text input). This happens because the safety checking function uses a process-global state that can be exploited when multiple requests run simultaneously, potentially allowing invalid data to pass through even when safety features are enabled.
Solution / Mitigation
This issue is fixed in version 0.26.0. Users should update vLLM to version 0.26.0 or later.
Vulnerability Details
EPSS: 0.0%
August 13, 2026
Classification
Affected Vendors
Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-73557
First tracked: August 13, 2026 at 02:08 PM
Classified by LLM (prompt v3) · confidence: 85%