CVE-2026-105756: vLLM Denial of Service Vulnerability
MODERATECVE-2026-105756 is a MODERATE (CVSS 6.5) denial of service vulnerability (CWE-20: Improper Input Validation) affecting vLLM libraries in the PyPI ecosystem. The issue involves loose `cache_salt` validation lets a single request kill enginecore on lmcache-mp deployments — uncaught downstream `valueerror` denial of service. Remediation is available by upgrading affected packages to version 0.30.0.
CVE-2026-105756 at a Glance
Security Impact
CVSS: 6.5
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).
How to Fix CVE-2026-105756
To remediate this vulnerability, upgrade all affected vLLM dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
pip install vllm>=0.30.0
Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show vllm
How to Check if You Are Affected
To determine whether your Python environment is affected by CVE-2026-105756, inspect your installed packages using pip:
pip show vllm
Analyze the terminal output to locate any version of vLLM in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 0.30.0), your application is affected.
Note: The pip show vllm command checks currently installed packages in your active Python environment.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-20: Improper Input Validation, where the product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. In vLLM, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
CVE-2026-105756 Affected vLLM Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
vllm
|
PyPI |
< 0.30.0
|
0.30.0
|
References
Frequently Asked Questions
What is CVE-2026-105756?
Which vLLM versions are affected?
What version fixes CVE-2026-105756?
Is vllm affected?
What is the CVSS score of CVE-2026-105756?
What CWE is associated with CVE-2026-105756?
How can I check PyPI dependencies for CVE-2026-105756?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-2823-qmq8-rwvj",
"modified" : "2026-10-05T23:42:34Z",
"published" : "2026-10-05T23:42:34Z",
"aliases" : [ "CVE-2026-105756" ],
"summary" : "vLLM: Loose `cache_salt` validation lets a single request kill EngineCore on LMCache-MP deployments — uncaught downstream `ValueError` denial of service",
"details" : "## Affected\n\n- **Ecosystem / package:** pip / `vllm`\n- **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.\n\n## Summary\n\nvLLM'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).\n\nNeither 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.\n\n## Affected code\n\nLinks pinned to the confirmed commit [`752a3a504485`](https://github.com/vllm-project/vllm/tree/752a3a504485790a2e8491cacbb35c137339ad34) (v0.25.1):\n\n- The three `check_cache_salt_support` validators require only a non-empty string — no character or length bound: [`vllm/entrypoints/openai/completion/protocol.py#L502-L508`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/entrypoints/openai/completion/protocol.py#L502-L508) (field at [`#L172`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/entrypoints/openai/completion/protocol.py#L172)), [`vllm/entrypoints/openai/chat_completion/protocol.py#L913-L919`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/entrypoints/openai/chat_completion/protocol.py#L913-L919) (field at [`#L425`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/entrypoints/openai/chat_completion/protocol.py#L425)), and [`vllm/entrypoints/openai/responses/protocol.py#L459-L465`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/entrypoints/openai/responses/protocol.py#L459-L465) (field at [`#L235`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/entrypoints/openai/responses/protocol.py#L235)). The loose test itself is at [`completion #L503-L505`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/entrypoints/openai/completion/protocol.py#L503-L505), [`chat_completion #L914-L916`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/entrypoints/openai/chat_completion/protocol.py#L914-L916), [`responses #L460-L462`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/entrypoints/openai/responses/protocol.py#L460-L462).\n- Two further request models accept `cache_salt` with the same or weaker checking, and should be hardened at the same time: [`vllm/entrypoints/pooling/base/protocol.py#L74-L85`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/entrypoints/pooling/base/protocol.py#L74-L85) carries the identical non-empty-string-only validator (field at [`#L59`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/entrypoints/pooling/base/protocol.py#L59)), and the token-in-token-out scale-out `GenerateRequest` exposes the field with **no** `cache_salt` validator at all: [`vllm/entrypoints/scale_out/token_in_token_out/protocol.py#L110`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/entrypoints/scale_out/token_in_token_out/protocol.py#L110).\n- The LMCache-MP request tracker stores the salt verbatim: [`vllm/distributed/kv_transfer/kv_connector/v1/lmcache_mp_connector.py#L189`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/distributed/kv_transfer/kv_connector/v1/lmcache_mp_connector.py#L189) (`LMCacheMPRequestTracker`), assignment at [`#L223`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/distributed/kv_transfer/kv_connector/v1/lmcache_mp_connector.py#L223).\n- The lookup call forwards `cache_salt` with no surrounding `try`: [`vllm/distributed/kv_transfer/kv_connector/v1/lmcache_mp_connector.py#L733-L774`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/distributed/kv_transfer/kv_connector/v1/lmcache_mp_connector.py#L733-L774) (`get_num_new_matched_tokens` → `maybe_submit_lookup_request(...)` at [`#L770`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/distributed/kv_transfer/kv_connector/v1/lmcache_mp_connector.py#L770)).\n- The scheduler invokes the connector unguarded: [`vllm/v1/core/sched/scheduler.py#L739`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/v1/core/sched/scheduler.py#L739) (`self.connector.get_num_new_matched_tokens(...)`, inside [`schedule()` at #L396](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/v1/core/sched/scheduler.py#L396)).\n- The generic top-level handler treats the exception as fatal: [`vllm/v1/engine/core.py#L1229-L1235`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/v1/engine/core.py#L1229-L1235) — the `except Exception` in `run_engine_core` ([`#L1154`](https://github.com/vllm-project/vllm/blob/752a3a504485790a2e8491cacbb35c137339ad34/vllm/v1/engine/core.py#L1154)) logs `EngineCore encountered a fatal error.`, calls `_send_engine_dead()`, and re-raises.\n- Downstream strict validator (external LMCache library, not vLLM): `IPCCacheServerKey.__post_init__` in `lmcache/v1/multiprocess/custom_types.py` rejects `@ / \\` NUL and >128-char salts (`_SALT_FORBIDDEN_CHARS = frozenset(\"@/\\\\\\x00\")`) by raising `ValueError`.\n\nThe 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:\n\n```python\n# vllm/entrypoints/openai/completion/protocol.py Lines 503-509\n if data.get(\"cache_salt\") is not None and (\n not isinstance(data[\"cache_salt\"], str) or not data[\"cache_salt\"]\n ):\n raise VLLMValidationError(\n \"Parameter 'cache_salt' must be a non-empty string if provided.\",\n parameter=\"cache_salt\",\n )\n```\n\nOn the scheduling path the connector is invoked with no surrounding `try` — a `ValueError` from the downstream salt check propagates straight out of `schedule()`:\n\n```python\n# vllm/v1/core/sched/scheduler.py Lines 736-742\n # Get externally-cached tokens if using a KVConnector.\n if self.connector is not None:\n ext_tokens, load_kv_async = (\n self.connector.get_num_new_matched_tokens(\n request, num_new_local_computed_tokens\n )\n )\n```\n\n`run_engine_core`'s generic handler — the next `except` up the stack — treats that as fatal, marks the engine dead, and re-raises:\n\n```python\n# vllm/v1/engine/core.py Lines 1229-1235\n except Exception as e:\n if engine_core is None:\n logger.exception(\"EngineCore failed to start.\")\n else:\n logger.exception(\"EngineCore encountered a fatal error.\")\n engine_core._send_engine_dead()\n raise e\n```\n\n## Impact\n\nAvailability 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).\n\nApplicability: 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.\n\n\n## Suggested Fix\n\nTwo independent fixes:\n\n1. **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).\n2. **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.\n\nThe 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:\n\n```python\n# vllm/entrypoints/openai/engine/protocol.py — new shared helper\n_CACHE_SALT_FORBIDDEN_CHARS = frozenset(\"@/\\\\\\x00\")\n_MAX_CACHE_SALT_LENGTH = 128\n\n\ndef validate_cache_salt(cache_salt: object) -> None:\n \"\"\"Validate cache salts before they reach downstream cache backends.\"\"\"\n if cache_salt is None:\n return\n if not isinstance(cache_salt, str) or not cache_salt:\n raise VLLMValidationError(\n \"Parameter 'cache_salt' must be a non-empty string if provided.\",\n parameter=\"cache_salt\",\n )\n if len(cache_salt) > _MAX_CACHE_SALT_LENGTH or any(\n char in _CACHE_SALT_FORBIDDEN_CHARS for char in cache_salt\n ):\n raise VLLMValidationError(\n \"Parameter 'cache_salt' must be at most 128 characters and must \"\n \"not contain '@', '/', '\\\\\\\\', or NUL.\",\n parameter=\"cache_salt\",\n )\n```\n\nThis distinguishes the finding from **[GHSA-6qc9-v4r8-22xg](https://github.com/vllm-project/vllm/security/advisories/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.\n\n## Credit\n\n**Reported by:** Patch the Planet (Trail of Bits + OpenAI collaboration)\n\nThis vulnerability was discovered using GPT-5.5-Cyber as part of the Patch the Planet security initiative.\n\n---\n\n**Proposed fix:** a fix for this issue is proposed in a public pull request: https://github.com/vllm-project/vllm/pull/51444",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "vllm"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "0.30.0"
} ]
} ]
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/vllm-project/vllm/security/advisories/GHSA-2823-qmq8-rwvj"
}, {
"type" : "WEB",
"url" : "https://github.com/vllm-project/vllm/pull/51444"
}, {
"type" : "WEB",
"url" : "https://github.com/vllm-project/vllm/commit/e962733e08d10f7ca65dac4df99e116460b8b174"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/vllm-project/vllm"
}, {
"type" : "WEB",
"url" : "https://github.com/vllm-project/vllm/releases/tag/v0.30.0"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-20", "CWE-248" ],
"severity" : "MODERATE",
"github_reviewed" : true,
"github_reviewed_at" : "2026-10-05T23:42:34Z",
"nvd_published_at" : null
}
}