PT-2026-60021

Summary A Server Side Request Forgery SSRF vulnerability in download bytes from url allows any actor who can control batch input JSON to make the vLLM batch runner issue arbitrary HTTP/HTTPS requests from the server, without any URL validation or domain restrictions. This can be used to target...

CVE-2026-34753

A flaw was found in vLLM. This server-side request forgery SSRF vulnerability allows an attacker who can control batch input JSON to force the vLLM batch runner to make arbitrary HTTP/HTTPS requests from the server. This can be exploited to access internal services, such as cloud metadata endpoin...

EUVD-2026-19349

vLLM is an inference and serving engine for large language models LLMs. From 0.16.0 to before 0.19.0, a server-side request forgery SSRF vulnerability in downloadbytesfromurl allows any actor who can control batch input JSON to make the vLLM batch runner issue arbitrary HTTP/HTTPS requests from t...

CVE-2026-34753 vLLM affected by Server-Side Request Forgery (SSRF) in `download_bytes_from_url `

vLLM is an inference and serving engine for large language models LLMs. From 0.16.0 to before 0.19.0, a server-side request forgery SSRF vulnerability in downloadbytesfromurl allows any actor who can control batch input JSON to make the vLLM batch runner issue arbitrary HTTP/HTTPS requests from t...

CVE-2026-34753 vLLM affected by Server-Side Request Forgery (SSRF) in `download_bytes_from_url `

vLLM is an inference and serving engine for large language models LLMs. From 0.16.0 to before 0.19.0, a server-side request forgery SSRF vulnerability in downloadbytesfromurl allows any actor who can control batch input JSON to make the vLLM batch runner issue arbitrary HTTP/HTTPS requests from t...

vLLM: Server-Side Request Forgery (SSRF) in `download_bytes_from_url `

Summary A Server Side Request Forgery SSRF vulnerability in downloadbytesfromurl allows any actor who can control batch input JSON to make the vLLM batch runner issue arbitrary HTTP/HTTPS requests from the server, without any URL validation or domain restrictions. This can be used to target...

PT-2026-30275

Name of the Vulnerable Software and Affected Versions vLLM versions 0.16.0 through 0.18.99 Description vLLM, an inference and serving engine for large language models, contains a server-side request forgery SSRF flaw in the download bytes from url function. This allows an attacker who can control...