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8 vulnerabilities found for vllm-project/vllm by vllm-project
CVE-2026-5497 (GCVE-0-2026-5497)
Vulnerability from nvd – Published: 2026-06-11 08:31 – Updated: 2026-07-01 12:05
VLAI
Title
Unbounded Frame Count in video/jpeg Base64 Data URL Processing Leads to OOM DoS in vllm-project/vllm
Summary
vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method. When processing `video/jpeg` data URLs, the method splits the base64 data string on commas to extract individual JPEG frames without enforcing a frame count limit. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames in a data URL, causing the server to decode all frames into memory and crash due to excessive memory consumption. This vulnerability is reachable via the OpenAI-compatible chat completions API and does not require authentication.
Severity
7.5 (High)
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://huntr.com/bounties/7bd92629-b396-4449-8f8… | |
| https://github.com/vllm-project/vllm/commit/58ee6… | |
| https://access.redhat.com/security/cve/CVE-2026-5497 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2487813 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:33531 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:33524 | vendor-advisoryx_refsource_REDHAT |
Impacted products
5 products
| Vendor | Product | Version | |
|---|---|---|---|
| vllm-project | vllm-project/vllm |
Affected:
unspecified , < 0.19.0
(custom)
|
|
| Red Hat | Red Hat Enterprise Linux AI 3.4 |
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
|
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3 |
|
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
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CVE-2026-4944 (GCVE-0-2026-4944)
Vulnerability from nvd – Published: 2026-05-28 18:04 – Updated: 2026-05-28 19:47
VLAI
Title
Hardcoded trust_remote_code=True in vllm-project/vllm Bypasses User Security Control
Summary
vllm-project/vllm version 0.14.1 contains a vulnerability where the `trust_remote_code=True` parameter is hardcoded in two model implementation files (`vllm/model_executor/models/nemotron_vl.py` and `vllm/model_executor/models/kimi_k25.py`). This bypasses the user's explicit `--trust-remote-code=False` setting, enabling remote code execution via malicious HuggingFace model repositories. This issue is an incomplete fix for CVE-2025-66448 and CVE-2026-22807, as it affects separate code paths in model implementation files. Deployments loading NemotronVL or KimiK25 models are particularly impacted.
Severity
8.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| vllm-project | vllm-project/vllm |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2024-9053 (GCVE-0-2024-9053)
Vulnerability from nvd – Published: 2025-03-20 10:09 – Updated: 2025-10-15 12:50
VLAI
Title
Remote Code Execution in vllm-project/vllm
Summary
vllm-project vllm version 0.6.0 contains a vulnerability in the AsyncEngineRPCServer() RPC server entrypoints. The core functionality run_server_loop() calls the function _make_handler_coro(), which directly uses cloudpickle.loads() on received messages without any sanitization. This can result in remote code execution by deserializing malicious pickle data.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| vllm-project | vllm-project/vllm |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2024-11041 (GCVE-0-2024-11041)
Vulnerability from nvd – Published: 2025-03-20 10:10 – Updated: 2025-03-20 18:18
VLAI
Title
Remote Code Execution in vllm-project/vllm
Summary
vllm-project vllm version v0.6.2 contains a vulnerability in the MessageQueue.dequeue() API function. The function uses pickle.loads to parse received sockets directly, leading to a remote code execution vulnerability. An attacker can exploit this by sending a malicious payload to the MessageQueue, causing the victim's machine to execute arbitrary code.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| vllm-project | vllm-project/vllm |
Affected:
unspecified , ≤ latest
(custom)
|
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CVE-2026-5497 (GCVE-0-2026-5497)
Vulnerability from cvelistv5 – Published: 2026-06-11 08:31 – Updated: 2026-07-01 12:05
VLAI
Title
Unbounded Frame Count in video/jpeg Base64 Data URL Processing Leads to OOM DoS in vllm-project/vllm
Summary
vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method. When processing `video/jpeg` data URLs, the method splits the base64 data string on commas to extract individual JPEG frames without enforcing a frame count limit. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames in a data URL, causing the server to decode all frames into memory and crash due to excessive memory consumption. This vulnerability is reachable via the OpenAI-compatible chat completions API and does not require authentication.
Severity
7.5 (High)
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://huntr.com/bounties/7bd92629-b396-4449-8f8… | |
| https://github.com/vllm-project/vllm/commit/58ee6… | |
| https://access.redhat.com/security/cve/CVE-2026-5497 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2487813 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:33531 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:33524 | vendor-advisoryx_refsource_REDHAT |
Impacted products
5 products
| Vendor | Product | Version | |
|---|---|---|---|
| vllm-project | vllm-project/vllm |
Affected:
unspecified , < 0.19.0
(custom)
|
|
| Red Hat | Red Hat Enterprise Linux AI 3.4 |
cpe:/a:redhat:enterprise_linux_ai:3.4::el9 |
|
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3 |
|
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
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CVE-2026-4944 (GCVE-0-2026-4944)
Vulnerability from cvelistv5 – Published: 2026-05-28 18:04 – Updated: 2026-05-28 19:47
VLAI
Title
Hardcoded trust_remote_code=True in vllm-project/vllm Bypasses User Security Control
Summary
vllm-project/vllm version 0.14.1 contains a vulnerability where the `trust_remote_code=True` parameter is hardcoded in two model implementation files (`vllm/model_executor/models/nemotron_vl.py` and `vllm/model_executor/models/kimi_k25.py`). This bypasses the user's explicit `--trust-remote-code=False` setting, enabling remote code execution via malicious HuggingFace model repositories. This issue is an incomplete fix for CVE-2025-66448 and CVE-2026-22807, as it affects separate code paths in model implementation files. Deployments loading NemotronVL or KimiK25 models are particularly impacted.
Severity
8.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| vllm-project | vllm-project/vllm |
Affected:
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CVE-2024-11041 (GCVE-0-2024-11041)
Vulnerability from cvelistv5 – Published: 2025-03-20 10:10 – Updated: 2025-03-20 18:18
VLAI
Title
Remote Code Execution in vllm-project/vllm
Summary
vllm-project vllm version v0.6.2 contains a vulnerability in the MessageQueue.dequeue() API function. The function uses pickle.loads to parse received sockets directly, leading to a remote code execution vulnerability. An attacker can exploit this by sending a malicious payload to the MessageQueue, causing the victim's machine to execute arbitrary code.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| vllm-project | vllm-project/vllm |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2024-9053 (GCVE-0-2024-9053)
Vulnerability from cvelistv5 – Published: 2025-03-20 10:09 – Updated: 2025-10-15 12:50
VLAI
Title
Remote Code Execution in vllm-project/vllm
Summary
vllm-project vllm version 0.6.0 contains a vulnerability in the AsyncEngineRPCServer() RPC server entrypoints. The core functionality run_server_loop() calls the function _make_handler_coro(), which directly uses cloudpickle.loads() on received messages without any sanitization. This can result in remote code execution by deserializing malicious pickle data.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| vllm-project | vllm-project/vllm |
Affected:
unspecified , ≤ latest
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"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-502",
"description": "CWE-502 Deserialization of Untrusted Data",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-10-15T12:50:44.722Z",
"orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
"shortName": "@huntr_ai"
},
"references": [
{
"url": "https://huntr.com/bounties/75a544f3-34a3-4da0-b5a3-1495cb031e09"
}
],
"source": {
"advisory": "75a544f3-34a3-4da0-b5a3-1495cb031e09",
"discovery": "EXTERNAL"
},
"title": "Remote Code Execution in vllm-project/vllm"
}
},
"cveMetadata": {
"assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
"assignerShortName": "@huntr_ai",
"cveId": "CVE-2024-9053",
"datePublished": "2025-03-20T10:09:33.924Z",
"dateReserved": "2024-09-20T18:43:46.911Z",
"dateUpdated": "2025-10-15T12:50:44.722Z",
"state": "PUBLISHED"
},
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"dataVersion": "5.1"
}