vLLM up to 0.0.x HTTP Endpoint resource consumption

CVSS Meta Temp Score
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CTI Interest Score
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7.3$0-$5k0.00

Summaryinfo

A vulnerability was found in vLLM up to 0.0.x. It has been rated as problematic. The impacted element is an unknown function of the component HTTP Endpoint. Performing a manipulation results in resource consumption. This vulnerability was named CVE-2025-48956. The attack may be initiated remotely. There is no available exploit. Upgrading the affected component is advised.

Detailsinfo

A vulnerability, which was classified as critical, was found in vLLM up to 0.0.x. This affects an unknown function of the component HTTP Endpoint. The manipulation with an unknown input leads to a resource consumption vulnerability. CWE is classifying the issue as CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. This is going to have an impact on availability. The summary by CVE is:

vLLM is an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.10.1.1, a Denial of Service (DoS) vulnerability can be triggered by sending a single HTTP GET request with an extremely large header to an HTTP endpoint. This results in server memory exhaustion, potentially leading to a crash or unresponsiveness. The attack does not require authentication, making it exploitable by any remote user. This vulnerability is fixed in 0.10.1.1.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-48956 since 05/28/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

Upgrading to version 0.10.1.1 eliminates this vulnerability. Applying the patch d8b736f913a59117803d6701521d2e4861701944 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

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Productinfo

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.5
VulDB Meta Temp Score: 7.3

VulDB Base Score: 7.5
VulDB Temp Score: 7.2
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 7.5
CNA Vector (GitHub_M): 🔒

CVSSv2info

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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Resource consumption
CWE: CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: vLLM 0.10.1.1
Patch: d8b736f913a59117803d6701521d2e4861701944

Timelineinfo

05/28/2025 CVE reserved
08/21/2025 +85 days Advisory disclosed
08/21/2025 +0 days VulDB entry created
10/10/2025 +50 days VulDB entry last update

Sourcesinfo

Advisory: GHSA-rxc4-3w6r-4v47
Status: Confirmed

CVE: CVE-2025-48956 (🔒)
GCVE (CVE): GCVE-0-2025-48956
GCVE (VulDB): GCVE-100-320943

Entryinfo

Created: 08/21/2025 19:25
Updated: 10/10/2025 04:57
Changes: 08/21/2025 19:25 (66), 10/10/2025 04:57 (1)
Complete: 🔍
Cache ID: 216::103

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