EUVD-2026-43310

A flaw was found in the vllm-orchestrator-gateway component. The system's production binary logs all incoming authorization headers and full chat payloads, which may contain personally identifiable information PII and secrets, to persistent logs. This sensitive data, including bearer tokens and...

CVE-2026-15574

A flaw was found in the vllm-orchestrator-gateway component. The system's production binary logs all incoming authorization headers and full chat payloads, which may contain personally identifiable information PII and secrets, to persistent logs. This sensitive data, including bearer tokens and...

CVE-2026-15574

The CVE-2026-15574 issue affects the vllm-orchestrator-gateway component, where the production binary logs incoming authorization headers and full chat payloads, potentially exposing PII, secrets, bearer tokens, and conversation content. This data exposure arises from a hard-coded debug/default l...

CVE-2026-15574

A flaw was found in the vllm-orchestrator-gateway component. The system's production binary logs all incoming authorization headers and full chat payloads, which may contain personally identifiable information PII and secrets, to persistent logs. This sensitive data, including bearer tokens and...

vLLM <= 0.23.0 - Anthropic Router Heap Address Information Leak

vLLM = 0.23.0 incompletely fixes CVE-2026-22778. The original fix added sanitizemessage to the OpenAI router but the Anthropic-compatible router /v1/messages echoes strexc directly. id: CVE-2026-54236 info: name: vLLM = 0.23.0 - Anthropic Router Heap Address Information Leak author: kenlacroix...

CVE-2026-54234

A flaw was found in vLLM, a high-throughput and memory-efficient inference and serving engine for Large Language Models LLMs. A remote attacker can exploit this vulnerability by sending a specially crafted multi-request speculative decoding workload through public gRPC Generate and Abort endpoint...

CVE-2026-55514

vLLM is a library for LLM inference and serving. From 0.12.0 to before 0.24.0, sending a pure prompt embeds payload in a /v1/completions request with a model using M-RoPE causes EngineCore to fail an assertion and fatally crash, shutting down the entire server application. Any remote user who is...

CVE-2026-54234

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, a frontend-legal multi-request speculative decoding workload can cause the rejection sampler to produce a recovered token equal to the model vocabulary size boundary value, which is then convert...

CVE-2026-55646

vLLM is an inference and serving engine for large language models. From 0.22.0 to 0.23.0, the /v1/audio/transcriptions and /v1/audio/translations routes call request.file.read to fully materialize an uploaded audio file into memory before vLLM checks the documented VLLMMAXAUDIOCLIPFILESIZEMB...

CVE-2026-55514

vLLM is a library for LLM inference and serving. From 0.12.0 to before 0.24.0, sending a pure prompt embeds payload in a /v1/completions request with a model using M-RoPE causes EngineCore to fail an assertion and fatally crash, shutting down the entire server application. Any remote user who is...

CVE-2026-55514

CVE-2026-55514 affects the vLLM library (inference/serving) from versions 0.12.0 through older than 0.24.0. Sending a pure prompt embeds payload in a /v1/completions request for a model using M-RoPE triggers an EngineCore assertion, causing a fatal crash that shuts down the entire server applicat...

CVE-2026-54234

CVE-2026-54234 affects vLLM prior to version 0.24.0. A frontend multi-request speculative decoding path could cause the rejection sampler to produce a recovered token equal to the model vocabulary size boundary value, which becomes negative one when the next live token is selected. This out-of-vo...

CVE-2026-54234 vLLM: Remote DoS in vLLM via Invalid Recovered Token Reinjection

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, a frontend-legal multi-request speculative decoding workload can cause the rejection sampler to produce a recovered token equal to the model vocabulary size boundary value, which is then convert...

CVE-2026-55646 vLLM speech-to-text endpoints allocate full upload before enforcing the audio file-size limit

vLLM is an inference and serving engine for large language models. From 0.22.0 to 0.23.0, the /v1/audio/transcriptions and /v1/audio/translations routes call request.file.read to fully materialize an uploaded audio file into memory before vLLM checks the documented VLLMMAXAUDIOCLIPFILESIZEMB...

CVE-2026-55646

CVE-2026-55646 (vLLM) affects vLLM versions 0.22.0–0.23.0. The routes /v1/audio/transcriptions and /v1/audio/translations call request.file.read() to fully materialize an uploaded audio file before enforcing the documented size limit (default 25 MB). This can cause the server to allocate memory p...

PT-2026-56000

Name of the Vulnerable Software and Affected Versions vLLM versions prior to 0.24.0 Description The structured outputs.regex API parameter allows user-supplied regular expression strings to be passed to grammar compiler backends without a compilation timeout. In the xgrammar backend, the string i...

PT-2026-55999

Name of the Vulnerable Software and Affected Versions vLLM versions 0.12.0 through 0.23.x Description A flaw in the EngineCore of the library occurs when a remote authorized user sends a pure prompt embeds payload to the '/v1/completions' endpoint using a model that implements M-RoPE Multimodal...

CVE-2026-4372 vulnerabilities

Vulnerabilities for packages: tritonserver-backend-vllm-cuda-12.9, text-generation-inference...

GHSA-29PF-2H5F-8G72 vulnerabilities

Vulnerabilities for packages: tritonserver-backend-vllm-cuda-12.9, text-generation-inference...

CVE-2026-54233 vulnerabilities

Vulnerabilities for packages: vllm-cuda-13.2, vllm-openai-cuda-13.0...