CVE-2026-5497
highPriorität · verfolgen · 0EPSS 0.005 · 45. PerzentilDEEUUSEPSS · bewertet 2026-10-27
vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method. When processing `video/jpeg` data URLs, the method splits the base64 data string on commas to extract individual JPEG frames without enforcing a frame count limit. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames in a data URL, causing the server to decode all frames into memory and crash due to excessive memory consumption. This vulnerability is reachable via the OpenAI-compatible chat completions API and does not require authentication.
cvss
Technischer Schweregrad, 0–10. Eine Zeile je Quelle.
Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen⚠ Quellen uneinig · medium–high · 6.9–7.5
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betroffene Produkte (5)
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Advisories (3)
Hersteller- und Ökosystem-Meldungen dazu.
- WID-SEC-W-2026-1897vllm: Mehrere SchwachstellenDeutsch2026-06-11csaf · cert_bundDE
Ein Angreifer kann mehrere Schwachstellen in vllm ausnutzen, um Sicherheitsmaßnahmen zu umgehen, einen Denial-of-Service-Zustand zu verursachen, Daten zu manipulieren oder vertrauliche Informationen offenzulegen.
- GHSA-wcwg-c5fc-9vrcvLLM is vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method2026-06-11ghsa · osvUS
vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method. When processing `video/jpeg` data URLs, the method splits the base64 data string on commas to extract individual JPEG frames without enforcing a frame count limit. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames in a data URL, causing the server to decode all frames into memory and crash due to excessive memory consumption. This vulnerability is reachable via the OpenAI-compatible chat completions API and does not require authentication.
- PYSEC-2026-23022026-06-11vendor · osvUS
vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method. When processing `video/jpeg` data URLs, the method splits the base64 data string on commas to extract individual JPEG frames without enforcing a frame count limit. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames in a data URL, causing the server to decode all frames into memory and crash due to excessive memory consumption. This vulnerability is reachable via the OpenAI-compatible chat completions API and does not require authentication.
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Referenzen (9)
Externe Belege — Patches, Meldungen, Analysen.
- https://github.com/vllm-project/vllm/releasesPatchcnnvd
- https://nvd.nist.gov/vuln/detail/CVE-2026-5497cnnvd
- https://github.com/vllm-project/vllm/commit/58ee61422169ce17e08248f8efa1e9df434fe395enisa_euvd
- https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4enisa_euvd
- https://access.redhat.com/security/cve/CVE-2026-5497nvd
- https://bugzilla.redhat.com/show_bug.cgi?id=2487813nvd
- https://github.com/vllm-project/vllm/commit/58ee61422169ce17e08248f8efa1e9df434fe395Patchnvd
- https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4ExploitThird Party Advisorynvd
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