CVE-2026-105922
MediumCVSS 4.3Exploitation Probability (EPSS)
Low risk21th percentile - higher than 21% of all known CVEs
Summary
A security flaw has been discovered in vllm-project vLLM up to 0.31.0, affecting the function get_token_bin_counts_and_mask in the file vllm/model_executor/layers/utils.py of the Penalty Handler component. Manipulation results in denial of service. Remote exploitation is possible, and the exploit has been publicly released.
Risk Assessment
The organization may experience service disruptions in vLLM-based systems, leading to unavailability and potential financial losses.
Recommendation
It is recommended to immediately update vLLM to a version newer than 0.31.0 if available, and to monitor security advisories from the project.
Other vulnerabilities in vLLM
See all- CVE-2026-48746Critical
Vulnerability in vLLM versions 0.3.0 to 0.22.0 allows bypass of OpenAI API AuthenticationMiddleware. An attacker can use the API without providing the configured VLLM_API_KEY or --api-key.
- CVE-2026-22778Critical
A vulnerability in vLLM from version 0.8.3 to 0.14.0 leaks a heap address when an invalid image is sent to the multimodal endpoint. This leak reduces ASLR effectiveness from 4 billion to about 8 guesses, facilitating further attacks.
- CVE-2026-105775Medium
A security vulnerability in vllm-project vLLM up to 0.31.0 causes an out-of-bounds read in the function conv_ssm_forward in the file mamba_mixer2.py, within the Completions Request Handler component. The attack can be carried out remotely, and the exploit has been publicly disclosed.
- CVE-2026-105760Medium
In vLLM before 0.30.0, a caller can use the media_io_kwargs field to select the GLMGA video backend and supply large fps and max_frames values without a strict work ceiling, causing disproportionate CPU and memory consumption.
- CVE-2026-105759Medium
In vLLM before 0.30.0, the Rust frontend's track_http_metrics middleware records the raw HTTP method token as a Prometheus label, allowing an unauthenticated attacker to send unique arbitrary method tokens and cause permanent creation of label sets, increasing memory usage.
- CVE-2026-105758Medium
In vLLM from 0.24.0 to 0.30.0, the Qwen2VLVideoBackend and Qwen3VLVideoBackend classes accept request-level values for max_frames and fps without server-side ceilings, allowing an unauthenticated caller to decode every frame from attacker-controlled video and consume disproportionate memory.
- CVE-2026-105757Medium
In vLLM before 0.30.0, structured-output request failures can escape validation and reach the EngineCore fatal-error path, allowing ordinary constrained-generation requests to terminate the shared engine.
- CVE-2026-105756Medium
In vLLM before 0.30.0, OpenAI-compatible request models accept a non-empty cache_salt value without enforcing character and length restrictions, which can raise an uncaught ValueError during scheduler cache lookup, causing EngineCore to terminate.
- CVE-2026-105755Medium
In vLLM before 0.30.0, flash late-interaction scoring at /score and /rerank derives query_key from the caller-controlled X-Request-Id header, allowing a concurrent request to overwrite the cached query embedding of a victim.
- CVE-2026-105754Medium
In vLLM before 0.30.0, the /inference/v1/generate endpoint in the disaggregated scale-out path accepts caller-supplied tensors, cache identifiers, ranges, and wire-selected multimodal field processors without rebinding them to the active model renderer contract, which can terminate EngineCore, poison cache, or alter transport semantics.
Original NVD description (English source)
A security flaw has been discovered in vllm-project vLLM up to 0.31.0. This impacts the function get_token_bin_counts_and_mask of the file vllm/model_executor/layers/utils.py of the component Penalty Handler. Performing a manipulation results in denial of service. Remote exploitation of the attack is possible. The exploit has been released to the public and may be used for attacks. The project was informed of the problem early through an issue report but has not responded yet.
Vulnerability data from NVD (NIST) · CISA KEV · EPSS

