6.5
MEDIUM
CVSS 3.1
CVE-2026-34755
vLLM Affected by Denial of Service via Unbounded Frame Count in video/jpeg Base64 Processing
Overview
Description
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.
Details
INFO
Published Date :
April 6, 2026, 4:16 p.m.
Last Modified :
July 15, 2026, 2:20 a.m.
Remotely Exploit :
Yes !
Source :
[email protected]
Scoring
CVSS Scores
The Common Vulnerability Scoring System is a standardized framework
for assessing the severity of vulnerabilities in software and systems.
We collect and displays CVSS scores from various sources for each CVE.
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS | 134c704f-9b21-4f2e-91b3-4a467353bcc0 | |||||
| CVSS 3.1 | MEDIUM | [email protected] | ||||
| CVSS 3.1 | MEDIUM | 0b0ca135-0b70-47e7-9f44-1890c2a1c46c |
Solution
Update vLLM to version 0.19.0 to fix denial of service via excessive frame decoding.
- Update vLLM to version 0.19.0 or later.
- Ensure frame count limits are enforced.
References
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2026-34755.
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2026-34755 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2026-34755
weaknesses.
CAPEC-125: Flooding Flooding
CAPEC-130: Excessive Allocation Excessive Allocation
CAPEC-147: XML Ping of the Death XML Ping of the Death
CAPEC-197: Exponential Data Expansion Exponential Data Expansion
CAPEC-229: Serialized Data Parameter Blowup Serialized Data Parameter Blowup
CAPEC-230: Serialized Data with Nested Payloads Serialized Data with Nested Payloads
CAPEC-231: Oversized Serialized Data Payloads Oversized Serialized Data Payloads
CAPEC-469: HTTP DoS HTTP DoS
CAPEC-482: TCP Flood TCP Flood
CAPEC-486: UDP Flood UDP Flood
CAPEC-487: ICMP Flood ICMP Flood
CAPEC-488: HTTP Flood HTTP Flood
CAPEC-489: SSL Flood SSL Flood
CAPEC-490: Amplification Amplification
CAPEC-491: Quadratic Data Expansion Quadratic Data Expansion
CAPEC-493: SOAP Array Blowup SOAP Array Blowup
CAPEC-494: TCP Fragmentation TCP Fragmentation
CAPEC-495: UDP Fragmentation UDP Fragmentation
CAPEC-496: ICMP Fragmentation ICMP Fragmentation
CAPEC-528: XML Flood XML Flood
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2026-34755 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2026-34755 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
Jul. 15, 2026
Action Type Old Value New Value Changed Affected [{'cpes': ['cpe:/a:redhat:ai_inference_server:3.2::el9'], 'vendor': 'Red Hat', 'product': 'Red Hat AI Inference Server 3.2', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:ai_inference_server:3'], 'vendor': 'Red Hat', 'product': 'Red Hat AI Inference Server', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:enterprise_linux_ai:3'], 'vendor': 'Red Hat', 'product': 'Red Hat Enterprise Linux AI (RHEL AI) 3', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:openshift_ai'], 'vendor': 'Red Hat', 'product': 'Red Hat OpenShift AI (RHOAI)', 'defaultStatus': 'affected'}] [{'cpes': ['cpe:/a:redhat:ai_inference_server:3.2::el9'], 'vendor': 'Red Hat', 'product': 'Red Hat AI Inference Server 3.2', 'versions': [{'status': 'unaffected', 'version': '1782951012', 'lessThan': '*', 'versionType': 'rpm'}], 'packageName': 'rhaiis/vllm-cuda-rhel9', 'collectionURL': 'https://catalog.redhat.com/software/containers/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:ai_inference_server:3.2::el9'], 'vendor': 'Red Hat', 'product': 'Red Hat AI Inference Server 3.2', 'versions': [{'status': 'unaffected', 'version': '1782951244', 'lessThan': '*', 'versionType': 'rpm'}], 'packageName': 'rhaiis/vllm-rocm-rhel9', 'collectionURL': 'https://catalog.redhat.com/software/containers/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:ai_inference_server:3'], 'vendor': 'Red Hat', 'product': 'Red Hat AI Inference Server', 'packageName': 'rhaiis/vllm-cpu-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:ai_inference_server:3'], 'vendor': 'Red Hat', 'product': 'Red Hat AI Inference Server', 'packageName': 'rhaiis/vllm-neuron-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:ai_inference_server:3'], 'vendor': 'Red Hat', 'product': 'Red Hat AI Inference Server', 'packageName': 'rhaiis/vllm-spyre-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:ai_inference_server:3'], 'vendor': 'Red Hat', 'product': 'Red Hat AI Inference Server', 'packageName': 'rhaiis/vllm-tpu-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:enterprise_linux_ai:3'], 'vendor': 'Red Hat', 'product': 'Red Hat Enterprise Linux AI (RHEL AI) 3', 'packageName': 'rhelai3/bootc-aws-cuda-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:enterprise_linux_ai:3'], 'vendor': 'Red Hat', 'product': 'Red Hat Enterprise Linux AI (RHEL AI) 3', 'packageName': 'rhelai3/bootc-azure-cuda-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:enterprise_linux_ai:3'], 'vendor': 'Red Hat', 'product': 'Red Hat Enterprise Linux AI (RHEL AI) 3', 'packageName': 'rhelai3/bootc-azure-rocm-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:enterprise_linux_ai:3'], 'vendor': 'Red Hat', 'product': 'Red Hat Enterprise Linux AI (RHEL AI) 3', 'packageName': 'rhelai3/bootc-cuda-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:enterprise_linux_ai:3'], 'vendor': 'Red Hat', 'product': 'Red Hat Enterprise Linux AI (RHEL AI) 3', 'packageName': 'rhelai3/bootc-gcp-cuda-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:enterprise_linux_ai:3'], 'vendor': 'Red Hat', 'product': 'Red Hat Enterprise Linux AI (RHEL AI) 3', 'packageName': 'rhelai3/bootc-rocm-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:openshift_ai'], 'vendor': 'Red Hat', 'product': 'Red Hat OpenShift AI (RHOAI)', 'packageName': 'rhoai/odh-kserve-agent-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:openshift_ai'], 'vendor': 'Red Hat', 'product': 'Red Hat OpenShift AI (RHOAI)', 'packageName': 'rhoai/odh-kserve-controller-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:openshift_ai'], 'vendor': 'Red Hat', 'product': 'Red Hat OpenShift AI (RHOAI)', 'packageName': 'rhoai/odh-kserve-router-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:openshift_ai'], 'vendor': 'Red Hat', 'product': 'Red Hat OpenShift AI (RHOAI)', 'packageName': 'rhoai/odh-kserve-storage-initializer-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:openshift_ai'], 'vendor': 'Red Hat', 'product': 'Red Hat OpenShift AI (RHOAI)', 'packageName': 'rhoai/odh-vllm-cpu-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:openshift_ai'], 'vendor': 'Red Hat', 'product': 'Red Hat OpenShift AI (RHOAI)', 'packageName': 'rhoai/odh-vllm-cuda-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:openshift_ai'], 'vendor': 'Red Hat', 'product': 'Red Hat OpenShift AI (RHOAI)', 'packageName': 'rhoai/odh-vllm-gaudi-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:openshift_ai'], 'vendor': 'Red Hat', 'product': 'Red Hat OpenShift AI (RHOAI)', 'packageName': 'rhoai/odh-vllm-rocm-rhel9', 'collectionURL': 'https://access.redhat.com/downloads/content/package-browser/', 'defaultStatus': 'affected'}] -
CVE Modified by 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
Jul. 07, 2026
Action Type Old Value New Value Added Reference https://access.redhat.com/errata/RHSA-2026:36005 Added Reference https://access.redhat.com/errata/RHSA-2026:36006 Changed Affected [{'cpes': ['cpe:/a:redhat:ai_inference_server:3'], 'vendor': 'Red Hat', 'product': 'Red Hat AI Inference Server', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:enterprise_linux_ai:3'], 'vendor': 'Red Hat', 'product': 'Red Hat Enterprise Linux AI (RHEL AI) 3', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:openshift_ai'], 'vendor': 'Red Hat', 'product': 'Red Hat OpenShift AI (RHOAI)', 'defaultStatus': 'affected'}] [{'cpes': ['cpe:/a:redhat:ai_inference_server:3.2::el9'], 'vendor': 'Red Hat', 'product': 'Red Hat AI Inference Server 3.2', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:ai_inference_server:3'], 'vendor': 'Red Hat', 'product': 'Red Hat AI Inference Server', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:enterprise_linux_ai:3'], 'vendor': 'Red Hat', 'product': 'Red Hat Enterprise Linux AI (RHEL AI) 3', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:openshift_ai'], 'vendor': 'Red Hat', 'product': 'Red Hat OpenShift AI (RHOAI)', 'defaultStatus': 'affected'}] -
CVE Modified by 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
Jun. 30, 2026
Action Type Old Value New Value Added Affected [{'cpes': ['cpe:/a:redhat:ai_inference_server:3'], 'vendor': 'Red Hat', 'product': 'Red Hat AI Inference Server', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:enterprise_linux_ai:3'], 'vendor': 'Red Hat', 'product': 'Red Hat Enterprise Linux AI (RHEL AI) 3', 'defaultStatus': 'affected'}, {'cpes': ['cpe:/a:redhat:openshift_ai'], 'vendor': 'Red Hat', 'product': 'Red Hat OpenShift AI (RHOAI)', 'defaultStatus': 'affected'}] Added CVSS V3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H Added CWE CWE-770 Added Reference https://access.redhat.com/security/cve/CVE-2026-34755 Added Reference https://bugzilla.redhat.com/show_bug.cgi?id=2455403 Added Reference https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-34755.json -
CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0
Jun. 17, 2026
Action Type Old Value New Value Added SSVC {'id': 'CVE-2026-34755', 'role': 'CISA Coordinator', 'options': [{'exploitation': 'none'}, {'automatable': 'no'}, {'technicalImpact': 'partial'}], 'version': '2.0.3', 'timestamp': '2026-04-06T18:36:13.854345Z'} -
CVE Modified by [email protected]
Jun. 17, 2026
Action Type Old Value New Value Added Affected [{'vendor': 'vllm-project', 'product': 'vllm', 'versions': [{'status': 'affected', 'version': '>= 0.7.0, < 0.19.0'}]}] -
Initial Analysis by [email protected]
Apr. 20, 2026
Action Type Old Value New Value Added CPE Configuration OR *cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* versions from (including) 0.7.0 up to (excluding) 0.19.0 Added Reference Type GitHub, Inc.: https://github.com/vllm-project/vllm/security/advisories/GHSA-pq5c-rjhq-qp7p Types: Patch, Vendor Advisory -
New CVE Received by [email protected]
Apr. 06, 2026
Action Type Old Value New Value Added Description 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. Added CVSS V3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H Added CWE CWE-770 Added Reference https://github.com/vllm-project/vllm/security/advisories/GHSA-pq5c-rjhq-qp7p
EPSS is a daily estimate of the probability of exploitation activity
being observed over the next 30 days. Following chart shows the EPSS
score history of the vulnerability.