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MEDIUM severity

CVE-2026-105756 — vllm

MEDIUMFix: vllm-project/vllm@e962733

CVE-2026-105756 is a medium-severity (CVSS 6.5) Improper Input Validation vulnerability in vllm. A fix is available for vllm — see the affected versions and patch details below.

vLLM: Loose `cache_salt` validation lets a single request kill EngineCore on LMCache-MP deployments — uncaught downstream `ValueError` denial of service

Also known asGHSA-2823-qmq8-rwvjPYSEC-2026-4306
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Oct 22, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for CVE-2026-105756.

EPSS Exploitation Probability

via FIRST.org ↗
0.3%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs23th percentile — riskier than 23% of all scored CVEsHighest risk

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

CVE-2026-105756 by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.

Where this sits among everything scored

Of 394,803 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.

Real-World Exposure

1 pkg affected
🐍vllm

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Affected

  • Ecosystem / package: pip / vllm
  • Affected versions: vLLM ≤ 0.25.1 (confirmed on 0.25.1, commit 752a3a504485). The lower bound predates 0.25.1; maintainers can confirm how far back the loose cache_salt validator and unguarded scheduling-path lookup reach.

Summary

vLLM's OpenAI-compatible request models (Completions, Chat Completions, Responses) accept a client-supplied cache_salt field and validate it only as "must be a non-empty string" — no character or length restrictions. On a deployment with the built-in LMCache-MP KV connector enabled, that value is stored verbatim on the request tracker and forwarded unguarded as a keyword argument into the scheduler's per-step cache lookup. The downstream LMCache library applies a stricter check in IPCCacheServerKey.__post_init__, which raises ValueError for any cache_salt containing @, /, \, or NUL (or longer than 128 characters).

Neither the LMCache-MP connector lookup call site nor Scheduler.schedule() wraps that call in a request-scoped try/except, so the ValueError propagates uncaught into EngineCore's top-level handler, which treats any uncaught exception as fatal and kills the whole engine process. A single publicly reachable request with, for example, cache_salt="/" therefore takes down the engine for all concurrent users. vLLM's boundary validator is looser than the downstream consumer's, and the gap is never converted into a request-scoped failure on the scheduling path.

Affected code

Links pinned to the confirmed commit 752a3a504485 (v0.25.1):

The three OpenAI check_cache_salt_support validators are identical; the completion one is representative — a non-empty-string test with no character or length bound:

# vllm/entrypoints/openai/completion/protocol.py Lines 503-509
        if data.get("cache_salt") is not None and (
            not isinstance(data["cache_salt"], str) or not data["cache_salt"]
        ):
            raise VLLMValidationError(
                "Parameter 'cache_salt' must be a non-empty string if provided.",
                parameter="cache_salt",
            )

On the scheduling path the connector is invoked with no surrounding try — a ValueError from the downstream salt check propagates straight out of schedule():

# vllm/v1/core/sched/scheduler.py Lines 736-742
                    # Get externally-cached tokens if using a KVConnector.
                    if self.connector is not None:
                        ext_tokens, load_kv_async = (
                            self.connector.get_num_new_matched_tokens(
                                request, num_new_local_computed_tokens
                            )
                        )

run_engine_core's generic handler — the next except up the stack — treats that as fatal, marks the engine dead, and re-raises:

# vllm/v1/engine/core.py Lines 1229-1235
        except Exception as e:
            if engine_core is None:
                logger.exception("EngineCore failed to start.")
            else:
                logger.exception("EngineCore encountered a fatal error.")
                engine_core._send_engine_dead()
            raise e

Impact

Availability only. cache_salt is an attacker-controlled, publicly reachable request field that vLLM validates too loosely. A value such as "/" passes vLLM's check, reaches the stricter downstream validator, and its ValueError is never converted into a request-scoped failure — instead it kills the EngineCore process, a denial of service for every concurrent request on that server (HTTP failures, then /health failing).

Applicability: the built-in LMCache-MP KV connector must be enabled (lmcache >= 0.4.4), which is itself an opt-in KV-connector boundary. On such deployments no other special configuration is required, and the crash is a resource-availability failure rather than expected behavior of the opt-in feature.

Suggested Fix

Two independent fixes:

  1. Tighten admission — add one shared validate_cache_salt() helper (for example in vllm/entrypoints/openai/engine/protocol.py) that matches or exceeds the downstream IPCCacheServerKey rules — reject @, /, \, NUL, and >128-character salts at the HTTP boundary with a 4xx — and route every request model that exposes cache_salt through it: the three check_cache_salt_support validators above, the pooling base request, and the token-in-token-out GenerateRequest (which has no validator today).
  2. Defense in depth — wrap the LMCache-MP lookup call reached from Scheduler.schedule() so a downstream validator ValueError becomes a request-scoped failure instead of an EngineCore-fatal exception. This is the fix that also covers future divergence between vLLM's and LMCache's salt rules; the right failure semantics (fail the request vs. fall back to a cold lookup) is a maintainer design call.

The core of fix 1 is a single shared helper; each check_cache_salt_support body then becomes validate_cache_salt(data.get("cache_salt")), and GenerateRequest gains an equivalent mode="before" validator:

# vllm/entrypoints/openai/engine/protocol.py — new shared helper
_CACHE_SALT_FORBIDDEN_CHARS = frozenset("@/\\\x00")
_MAX_CACHE_SALT_LENGTH = 128


def validate_cache_salt(cache_salt: object) -> None:
    """Validate cache salts before they reach downstream cache backends."""
    if cache_salt is None:
        return
    if not isinstance(cache_salt, str) or not cache_salt:
        raise VLLMValidationError(
            "Parameter 'cache_salt' must be a non-empty string if provided.",
            parameter="cache_salt",
        )
    if len(cache_salt) > _MAX_CACHE_SALT_LENGTH or any(
        char in _CACHE_SALT_FORBIDDEN_CHARS for char in cache_salt
    ):
        raise VLLMValidationError(
            "Parameter 'cache_salt' must be at most 128 characters and must "
            "not contain '@', '/', '\\\\', or NUL.",
            parameter="cache_salt",
        )

This distinguishes the finding from GHSA-6qc9-v4r8-22xg: that advisory fixed only the guided_json/xgrammar trigger of the same schedule()-into-run_engine_core fatal-handler family, so the cache_salt admission gap and the schedule()-level defense-in-depth (fix 2) survive its published fix. A patch implementing fix 1 across all five request models, with a regression test covering the rejected ("/", 129-char) and accepted salt shapes, applies to v0.25.1 with line offsets and no fuzz.

Credit

Reported by: Patch the Planet (Trail of Bits + OpenAI collaboration)

This vulnerability was discovered using GPT-5.5-Cyber as part of the Patch the Planet security initiative.


Proposed fix: a fix for this issue is proposed in a public pull request: https://github.com/vllm-project/vllm/pull/51444

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIvllmall versions0.30.0pip install --upgrade 'vllm==0.30.0'

Affected Products

1 product · 1 configurations
Application
vllmvllm
< 0.30.0
range

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for vllm, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update vllm to 0.30.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-105756 is resolved across your whole dependency graph.

  3. Workarounds

    Cap what an attacker can consume: apply request size, rate and timeout limits in front of the affected component, and run it with memory and CPU limits so exhaustion degrades one worker rather than the whole service.

Fixing This On Your OS

If you run this on a Linux distribution, patch through your package manager against the distro's own security advisory below — it tracks the exact backported fix for your release, which can ship on a different timeline (and sometimes a different severity) than the upstream project.

Red HatModerate

A moderate severity denial-of-service vulnerability was found in vLLM, as shipped in Red Hat AI Inference Server and Red Hat OpenShift AI (RHOAI). vLLM's OpenAI-compatible API endpoints accept a client-supplied cache_salt parameter that is validated only as a non-empty string, without character or length restrictions.…

Workaround published by Red Hat
Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability.
Source: Red Hat security advisory for CVE-2026-105756 (CC BY 4.0)

Frequently Asked Questions

## Affected - **Ecosystem / package:** pip / `vllm` - **Affected versions:** vLLM ≤ 0.25.1 (confirmed on 0.25.1, commit [`752a3a504485`](https://github.com/vllm-project/vllm/tree/752a3a504485790a2e8491cacbb35c137339ad34)). The lower bound predates 0.25.1; maintainers can confirm how far back the loose `cache_salt` validator and unguarded scheduling-path lookup reach. ## Summary vLLM's OpenAI-compatible request models (Completions, Chat Completions, Responses) accept a client-supplied `cache_salt` field and validate it only as "must be a non-empty string" — no character or length restriction
O3 Security · Impact-Aware SCA

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CVE-2026-105756: vllm DoS — Fixed in 0.30.0