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CVE-2026-56340 high CVSS 8.8

Vulnerability in vllm (CVE-2026-56340)

Summary

Vulnerability in vllm (CVE-2026-56340). Successful exploitation can lead to full system takeover. Mitigation: upgrade to 0.13.0 or later.

Original description

The description as published by the source.

vLLM versions >= 0.10.2 and < 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed (negative or out-of-bounds) tensor indices, when the prompt-embeds feature is enabled, to trigger crashes or resource exhaustion (denial of service), with potential for out-of-bounds/write-what-where memory corruption. This continues CVE-2025-62164, whose prior fix only disabled the feature by default rather than addressing the root cause.

Source: NIST National Vulnerability Database NVD GitHub Advisory

Auto-generated summary

Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.

A vulnerability tracked as CVE-2026-56340 has been found in vllm.
Successful exploitation can lead to full system takeover. CVSS score: 8.8/10.
What to do: upgrade vllm to 0.13.0 or later.
If unsure, ask your IT team or search "vllm CVE-2026-56340" on the vendor's site.

CVE-2026-56340 (vllm) — CWE-20 / CVSS v3 8.8
Attack vector: remote (network-reachable) / no user interaction
Patched: 0.13.0 — apply immediately
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.

❓ What is the problem

A vulnerability (CWE-20) exists in vllm.

📍 Affected scope

Check the vendor advisory for the affected versions of vllm.

🔥 Severity

Severity: High (CVSS 8.8/10). Successful exploitation can lead to full system takeover.

🔧 How to fix

Update to 0.13.0.

🛡️ Workaround

Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.

🔍 Detection

Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'vllm' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.

Response actions

Concrete steps and command examples for SOC/SRE teams to execute in order

  1. 1
    Identify exposure identify 
    grep -r 'vllm' . | grep -v node_modules

    リポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で vllm を grep し、稼働しているサービス・バージョンを把握する。

  2. 2
    Apply patch patch 
    Upgrade vllm to 0.13.0

    ステージング環境で 0.13.0 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。

  3. 3
    Post-deployment verification verify 
    Confirm patched version is live in production

    パッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。

Affected packages

PyPI vllm
[{"type":"ECOSYSTEM","events":[{"introduced":"0.10.2"},{"fixed":"0.13.0"}]}]
pip vllm
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"0.13.0"}]}]

References

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