CVE-2026-25048 vulnerabilities

Vulnerabilities for packages: py3-vllm-cuda-12.4, tritonserver-backend-vllm-cuda-13.0, vllm-openai-cuda-12.9, tritonserver-backend-vllm-cuda-12.9...

GHSA-7RGV-GQHR-FXG3 vulnerabilities

Vulnerabilities for packages: py3-vllm-cuda-12.4, tritonserver-backend-vllm-cuda-13.0, vllm-openai-cuda-12.9, tritonserver-backend-vllm-cuda-12.9...

Server-side Request Forgery (SSRF)

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Server-side Request Forgery SSRF via inconsistent URL parsing between the validation layer and the HTTP client in the loadfromurl and loadfromurlasy...

CVE-2026-25960

vLLM is an inference and serving engine for large language models LLMs. The SSRF protection fix for CVE-2026-24779 add in 0.15.1 can be bypassed in the loadfromurlasync method due to inconsistent URL parsing behavior between the validation layer and the actual HTTP client. The SSRF fix uses...

CVE-2026-25960 SSRF Protection Bypass in vLLM

vLLM is an inference and serving engine for large language models LLMs. The SSRF protection fix for CVE-2026-24779 add in 0.15.1 can be bypassed in the loadfromurlasync method due to inconsistent URL parsing behavior between the validation layer and the actual HTTP client. The SSRF fix uses...

CVE-2026-25960 SSRF Protection Bypass in vLLM

vLLM is an inference and serving engine for large language models LLMs. The SSRF protection fix for CVE-2026-24779 add in 0.15.1 can be bypassed in the loadfromurlasync method due to inconsistent URL parsing behavior between the validation layer and the actual HTTP client. The SSRF fix uses...

CVE-2026-25960

vLLM is an inference and serving engine for large language models LLMs. The SSRF protection fix for CVE-2026-24779 add in 0.15.1 can be bypassed in the loadfromurlasync method due to inconsistent URL parsing behavior between the validation layer and the actual HTTP client. The SSRF fix uses...

vLLM has SSRF Protection Bypass

Summary The SSRF protection fix for https://github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfc can be bypassed in the loadfromurlasync method due to inconsistent URL parsing behavior between the validation layer and the actual HTTP client. Affected Component - File:...

GHSA-V359-JJ2V-J536 vLLM has SSRF Protection Bypass

Summary The SSRF protection fix for https://github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfc can be bypassed in the loadfromurlasync method due to inconsistent URL parsing behavior between the validation layer and the actual HTTP client. Affected Component - File:...

EUVD-2026-10356

vLLM has SSRF Protection Bypass...

CVE-2026-25960: Server-Side Request Forgery (SSRF)

vLLM is an inference and serving engine for large language models LLMs. The SSRF protection fix for CVE-2026-24779 add in 0.15.1 can be bypassed in the loadfromurlasync method due to inconsistent URL parsing behavior between the validation layer and the actual HTTP client. The SSRF fix uses...

CVE-2026-27482 vulnerabilities

Vulnerabilities for packages: py3-vllm-cuda-12.4, airflow, tritonserver-backend-vllm-cuda-12.9...

GHSA-Q5FH-2HC8-F6RQ vulnerabilities

Vulnerabilities for packages: py3-vllm-cuda-12.4, airflow, tritonserver-backend-vllm-cuda-12.9...

Malicious code in vllm-plugins (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 4fa0706d497278a502d158c89d51645a6f4e8187ca325aacaa59facccf542a03 Generic campaign for all likely research / pentests, where the amount or art of collected data raises questions about the privacy, security and ethical side. -...

Server-Side Request Forgery (SSRF)

vllm is vulnerable to a Server-Side Request Forgery SSRF. The vulnerability is due to inconsistent URL parsing and hostname validation in the MediaConnector class when processing user-supplied media URLs, which allows an attacker to bypass host restrictions and coerce the vLLM server into making...

CVE-2026-22778

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...

CVE-2026-22778

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 guess...

CVE-2026-22778 vLLM leaks a heap address when PIL throws an error

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 guess...

CVE-2026-22778

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 guess...

CVE-2026-22778 vLLM leaks a heap address when PIL throws an error

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 guess...