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TI-2026-26999 Aliases CVE-2026-34755GHSA-pq5c-rjhq-qp7p

vLLM Affected by Denial of Service via Unbounded Frame Count in video/jpeg Base64 Processing

Priority LOW 29CWE-770Published · Updated

Key facts

Attack vector
Network
Privileges required
Low
User interaction
None
Attack complexity
Low
Impact type
Denial of service
Confidentiality · integrity · availability
None · None · High
Fix status
Partial Red Hat: 3 fixed, 2 without a fix

Attack profile from CVSS 3.1 · CNA. Fix status from CNA, GitHub and Red Hat. Impact type from CWE-770.

Summary

vLLM is an inference and serving engine for large language models (LLMs). From 0.7.0 to before 0.19.0, the VideoMediaIO.load_base64() method at vllm/multimodal/media/video.py splits video/jpeg data URLs by comma to extract individual JPEG frames, but does not enforce a frame count limit. The num_frames parameter (default: 32), which is enforced by the load_bytes() code path, is completely bypassed in the video/jpeg base64 path. An attacker can send a single API request containing thousands of comma-separated base64-encoded JPEG frames, causing the server to decode all frames into memory and crash with OOM. This vulnerability is fixed in 0.19.0.

Why it matters now

Exploitation None reported CISA SSVC · not in CISA KEV
EPSS 0.00482 41st percentileScored 2026-11-07
Fix Partial vllm (vllm-project): 0.19.0vllm (PyPI): 0.19.0Red Hat: 8 advisoriesRed Hat: 3 fixed, 2 without a fix

SSVC decision points

CISA ADP · SSVC 2.0.3

Exploitation
None
Automatable
No
Technical impact
Partial

The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.

Affected products

VendorProductAffected versionsFixed inStatusSource
vllm-projectvllm0.7.0 to before 0.19.00.19.0Patch availableCNA
—vllm (PyPI)0.7.0 to before 0.19.00.19.0Patch availableGHSA-pq5c-rjhq-qp7p
  • vllm Vendorvllm-project Affected 0.7.0 to before 0.19.0 Fixed in 0.19.0 Patch available CNA
  • vllm (PyPI) Vendor— Affected 0.7.0 to before 0.19.0 Fixed in 0.19.0 Patch available GHSA-pq5c-rjhq-qp7p

CPE configurations NVD · 1

CPEVersionsRoleVendor
cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*0.7.0 to before 0.19.0VulnerablevLLM
  • cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* Versions 0.7.0 to before 0.19.0 Vulnerable ·vLLM

Remediation

  • Fix · CNA vllm (vllm-project) Fixed in 0.19.0
  • Fix · GHSA-pq5c-rjhq-qp7p vllm (PyPI) Fixed in 0.19.0 Advisory →

Red Hat 8 advisories

  • RHSA-2026:59151 Released 2026-08-24 · Red Hat rating Important
    Red Hat Enterprise Linux AI 3.4.4 enhancement update
    • Red Hat Enterprise Linux AI 3.4 registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9, registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9, registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9 +3
  • RHSA-2026:59144 Released 2026-08-24 · Red Hat rating Important
    Red Hat Enterprise Linux AI 3.4.4 enhancement update
    • Red Hat Enterprise Linux AI 3.4 registry.redhat.io/rhelai3/disk-image-cuda-rhel9
  • RHSA-2026:57390 Released 2026-08-20 · Red Hat rating Important
    Red Hat AI Inference 3.4.4 (rocm)
    • Red Hat AI Inference Server 3.4 registry.redhat.io/rhaii/vllm-rocm-rhel9
Show 5 more Red Hat advisories
  • RHSA-2026:57389 Released 2026-08-20 · Red Hat rating Important
    Red Hat AI Inference 3.4.4 (cuda)
    • Red Hat AI Inference Server 3.4 registry.redhat.io/rhaii/vllm-cuda-rhel9
  • RHSA-2026:57387 Released 2026-08-20 · Red Hat rating Important
    Red Hat AI Inference 3.4.4 (spyre)
    • Red Hat AI Inference Server 3.4 registry.redhat.io/rhaii/vllm-spyre-rhel9
  • RHSA-2026:57380 Released 2026-08-20 · Red Hat rating Important
    Red Hat AI Inference 3.4.4 (cpu)
    • Red Hat AI Inference Server 3.4 registry.redhat.io/rhaii/vllm-cpu-rhel9
  • RHSA-2026:36006 Released 2026-07-06 · Red Hat rating Important
    Red Hat AI Inference Server 3.2.2 (ROCm)
    • Red Hat AI Inference Server 3.2 registry.redhat.io/rhaiis/vllm-rocm-rhel9
  • RHSA-2026:36005 Released 2026-07-06 · Red Hat rating Important
    Red Hat AI Inference Server 3.2.2 (CUDA)
    • Red Hat AI Inference Server 3.2 registry.redhat.io/rhaiis/vllm-cuda-rhel9

Vendor assessments

Red Hat

Red Hat rating: Important. Red Hat's page for this CVE →

ProductStatusPlan or fix
Red Hat AI Inference ServerAffectedNo fix yet: Fix deferred
Red Hat OpenShift AI (RHOAI)AffectedNo fix yet: Fix deferred
Red Hat AI Inference Server 3.2Fixed RHSA-2026:36005, RHSA-2026:36006
Red Hat AI Inference Server 3.4Fixed RHSA-2026:57380, RHSA-2026:57387, RHSA-2026:57389, RHSA-2026:57390
Red Hat Enterprise Linux AI 3.4Fixed RHSA-2026:59144, RHSA-2026:59151

Timeline

  1. 2026-10-02 Threatist record created from CVE-2026-34755
  2. 2026-10-03 Alias added: GHSA-pq5c-rjhq-qp7p
  3. 2026-10-25 EPSS moved to the below the 50th percentile

References

  • TI-2024-10229 Remote Code Execution in vllm-project/vllm CVSS 3.0CRITICAL 9.8
  • TI-2024-08404 Remote Code Execution in vllm-project/vllm CVSS 3.1CRITICAL 9.8
  • TI-2026-36017 vLLM: OpenAI auth bypass CVSS 3.1CRITICAL 9.1
  • TI-2026-63056 vLLM before 0.28.0 Denial of Service via negative token ID CVSS 4.0HIGH 8.7
  • TI-2026-04308 Hardcoded trust_remote_code=True in vllm-project/vllm Bypasses User Security Control CVSS 3.0HIGH 8.8
  • TI-2026-39137 vLLM: Remote DoS in vLLM via Invalid Recovered Token Reinjection CVSS 3.1HIGH 7.5
See all 124 →

Sources