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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: 07/23/2026, 22:06:08 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 submitting 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) condition and Denial of Service (DoS). The vulnerability is reachable without authentication via the OpenAI-compatible chat completions API. No official patch or remediation level is currently provided by the vendor, and no known exploits are reported in the wild. The Red Hat advisory linked does not specify a fix or mitigation status.

Potential Impact

Successful exploitation causes a high-severity Denial of Service (DoS) by exhausting server memory resources, leading to a crash or unavailability of the affected vLLM service. The vulnerability does not impact confidentiality or integrity but results in service disruption. It is exploitable remotely without authentication, increasing the risk of attack.

Mitigation Recommendations

Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no official fix or workaround is currently documented, users should monitor the vendor advisory for updates. Until a patch is available, consider implementing request size limits or input validation to restrict the number of frames processed in 'video/jpeg' data URLs if feasible within the deployment environment.

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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: 07/23/2026, 22:06:08 UTC

Last updated: 07/27/2026, 08:52:02 UTC

Views: 176

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