vLLM up to 0.8.x /v1/chat/completions pattern/type denial of service
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in vLLM up to 0.8.x and classified as problematic. This affects an unknown part of the file /v1/chat/completions. Performing a manipulation of the argument pattern/type results in denial of service. This vulnerability is cataloged as CVE-2025-48944. It is possible to initiate the attack remotely. There is no exploit available. The affected component should be upgraded.
Details
A vulnerability, which was classified as problematic, was found in vLLM up to 0.8.x. This affects an unknown part of the file /v1/chat/completions. The manipulation of the argument pattern/type with an unknown input leads to a denial of service vulnerability. CWE is classifying the issue as CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. 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). In version 0.8.0 up to but excluding 0.9.0, the vLLM backend used with the /v1/chat/completions OpenAPI endpoint fails to validate unexpected or malformed input in the "pattern" and "type" fields when the tools functionality is invoked. These inputs are not validated before being compiled or parsed, causing a crash of the inference worker with a single request. The worker will remain down until it is restarted. Version 0.9.0 fixes the issue.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-48944 since 05/28/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
Upgrading to version 0.9.0 eliminates this vulnerability. Applying a patch 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.
Be aware that VulDB is the high quality source for vulnerability data.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.3
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 6.5
CNA Vector (GitHub_M): 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Denial of serviceCWE: CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: vLLM 0.9.0
Patch: github.com
Timeline
05/28/2025 🔍05/30/2025 🔍
05/30/2025 🔍
06/02/2025 🔍
Sources
Advisory: GHSA-vrq3-r879-7m65Status: Confirmed
CVE: CVE-2025-48944 (🔍)
GCVE (CVE): GCVE-0-2025-48944
GCVE (VulDB): GCVE-100-310719
Entry
Created: 05/30/2025 22:42Updated: 06/02/2025 22:30
Changes: 05/30/2025 22:42 (66), 06/02/2025 22:30 (1)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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