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EPSS 0.5%top 58%

CVE-2026-5497: CWE-400 Uncontrolled Resource Consumption in vllm-project vllm-project/vllm

0
High
VulnerabilityCVE-2026-5497cvecve-2026-5497cwe-400
Published: 06/11/2026 (06/11/2026, 08:31:18 UTC)
Source: CVE Database V5
Vendor/Project: vllm-project
Product: vllm-project/vllm

Description

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 v3.0

Score 7.5high

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 07/16/2026, 09:09:23 UTC

Technical Analysis

The vulnerability in vLLM (vllm-project/vllm) arises from the VideoMediaIO.load_base64() method's handling of video/jpeg data URLs. The method splits the base64 data string on commas to extract individual JPEG frames but does not enforce any limit on the number of frames processed. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames, causing the server to decode all frames into memory simultaneously. This results in uncontrolled resource consumption leading to an Out-of-Memory (OOM) Denial of Service (DoS) condition. The vulnerability is reachable via the OpenAI-compatible chat completions API and requires no authentication, increasing its risk. The CVSS v3.0 score is 7.5 (High), reflecting network attack vector, low attack complexity, no privileges or user interaction required, and an impact limited to availability (denial of service). No official patch or remediation level has been confirmed by the vendor. The Red Hat advisory linked does not provide explicit patch or mitigation details.

Potential Impact

Successful exploitation results in a denial of service condition due to excessive memory consumption when processing maliciously crafted video/jpeg data URLs containing large numbers of base64-encoded JPEG frames. This can cause the server to crash or become unresponsive, impacting availability. There is no reported impact on confidentiality or integrity.

Mitigation Recommendations

Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no official fix or workaround is documented in the vendor advisory, users should monitor the vendor's security advisories for updates. As a temporary measure, restricting or validating input sizes and frame counts in the VideoMediaIO.load_base64() method could reduce risk, but such mitigations require code changes and are not officially provided. Network-level protections such as rate limiting or filtering suspicious API requests may help reduce exposure until a patch is available.

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Technical Details

Data Version
5.2
Assigner Short Name
@huntr_ai
Date Reserved
2026-04-03T14:41:01.113Z
Cvss Version
3.0
State
PUBLISHED
Remediation Level
null
Vendor Advisory Urls
[{"url":"https://access.redhat.com/security/cve/CVE-2026-5497","vendor":"Red Hat"}]

Threat ID: 6a2a86879e049e7b7ef28551

Added to database: 06/11/2026, 09:57:27 UTC

Last enriched: 07/16/2026, 09:09:23 UTC

Last updated: 07/19/2026, 05:26:47 UTC

Views: 164

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