Description (CNA)
vLLM is an inference and serving engine for large language models (LLMs). From 0.8.3 to before 0.14.1, when an invalid image is sent to vLLM's multimodal endpoint, PIL throws an error. vLLM returns this error to the client, leaking a heap address. With this leak, we reduce ASLR from 4 billion guesses to ~8 guesses. This vulnerability can be chained a heap overflow with JPEG2000 decoder in OpenCV/FFmpeg to achieve remote code execution. This vulnerability is fixed in 0.14.1.
Affected (CNA)
| Vendor / product | Versions |
|---|---|
| vllm-project / vllm | affected >= 0.8.3, < 0.14.1 |
CWE
CWE-532
References
- https://github.com/vllm-project/vllm/security/advisories/GHSA-4r2x-xpjr-7cvv
- https://github.com/vllm-project/vllm/pull/31987
- https://github.com/vllm-project/vllm/pull/32319
- https://github.com/vllm-project/vllm/releases/tag/v0.14.1
ADP enrichment
No English description supplied.
No references supplied.
A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). A remote attacker can exploit this vulnerability by sending a specially crafted video URL to vLLM's multimodal endpoint. This action causes vLLM to leak a heap memory address, significantly reducing the effectiveness of Address Space Layout Randomization (ASLR). This information disclosure can then be chained with a heap overflow vulnerability to achieve remote code execution.
- https://access.redhat.com/security/cve/CVE-2026-22778
- https://bugzilla.redhat.com/show_bug.cgi?id=2436113
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-22778.json
- https://access.redhat.com/errata/RHSA-2026:3461
- https://access.redhat.com/errata/RHSA-2026:3462
- https://access.redhat.com/errata/RHSA-2026:30089
- https://access.redhat.com/errata/RHSA-2026:30088
- https://access.redhat.com/errata/RHSA-2026:30087
- https://access.redhat.com/errata/RHSA-2026:3782
- https://access.redhat.com/errata/RHSA-2026:19712
- https://access.redhat.com/errata/RHSA-2026:3713