vllm-project vLLM up to 0.30.x LogprobsTensors vllm/v1/outputs.py LogprobsTensors.empty_cpu missing initialization

Summaryinfo

A vulnerability classified as problematic was found in vllm-project vLLM up to 0.30.x. This affects the function LogprobsTensors.empty_cpu of the file vllm/v1/outputs.py of the component LogprobsTensors. The manipulation results in missing initialization. This vulnerability was named CVE-2026-116180. The attack may be performed from remote. There is no available exploit. Upgrading the affected component is advised.

Detailsinfo

A vulnerability classified as problematic has been found in vllm-project vLLM up to 0.30.x. Affected is the function LogprobsTensors.empty_cpu of the file vllm/v1/outputs.py of the component LogprobsTensors. The manipulation with an unknown input leads to a missing initialization vulnerability. CWE is classifying the issue as CWE-456. The product does not initialize critical variables, which causes the execution environment to use unexpected values. This is going to have an impact on availability. CVE summarizes:

vLLM from 0.8.5 before 0.31.0 has a denial of service flaw. LogprobsTensors.empty_cpu() in vllm/v1/outputs.py allocates an uninitialized int32 tensor, and the V1 model runner leaves prompt positions reported as computed by a KV connector unwritten. A client sharing the engine can send prompt_logprobs (or echo with logprobs) against a connector-cached prefix, making tokenizer decode raise OverflowError, which crashes EngineCore and drops all co-tenant requests.

The advisory is available at github.com. This vulnerability is traded as CVE-2026-116180 since 10/25/2026. The exploitability is told to be easy. It is possible to launch the attack remotely. Technical details are known, but there is no available exploit.

Upgrading to version 0.31.0 eliminates this vulnerability.

If you want to get best quality of vulnerability data, you may have to visit VulDB.

Productinfo

Type

• Project Management Software

Vendor

• vllm-project

Name

• vLLM

Version

• 0.1
• 0.2
• 0.3
• 0.4
• 0.5
• 0.6
• 0.7
• 0.8
• 0.9
• 0.10
• 0.11
• 0.12
• 0.13
• 0.14
• 0.15
• 0.16
• 0.17
• 0.18
• 0.19
• 0.20
• 0.21
• 0.22
• 0.23
• 0.24
• 0.25
• 0.26
• 0.27
• 0.28
• 0.29
• 0.30

Website

• Product: https://github.com/vllm-project/vllm/

CPE 2.3info

• 🔒
• 🔒
• 🔒

CPE 2.2info

• 🔒
• 🔒
• 🔒

CVSSv4info

CVSSv3info

CVSSv2info

Exploitinginfo

Threat Intelligenceinfo

Countermeasuresinfo

Timelineinfo

Sourcesinfo

Entryinfo

If you want to get best quality of vulnerability data, you may have to visit VulDB.

Discussion