1481 matches found
CVE-2025-6242
A Server-Side Request Forgery SSRF vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The loadfromurl and loadfromurlasync methods fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows an...
CVE-2025-6242 Vllm: server side request forgery (ssrf) in mediaconnector
A Server-Side Request Forgery SSRF vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The loadfromurl and loadfromurlasync methods fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows an...
CVE-2025-6242
The CVE-2025-6242 SSRF vulnerability targets vLLM's MediaConnector (load_from_url/load_from_url_async) allowing user-supplied URLs to trigger server-side requests to internal resources. Concrete details: the issue arises from insufficient host restriction on mediaURL fetches, enabling potential a...
vLLM is vulnerable to timing attack at bearer auth
Summary The API key support in vLLM performed validation using a method that was vulnerable to a timing attack. This could potentially allow an attacker to discover a valid API key using an approach more efficient than brute force. Details...
GHSA-WR9H-G72X-MWHM vLLM is vulnerable to timing attack at bearer auth
Summary The API key support in vLLM performed validation using a method that was vulnerable to a timing attack. This could potentially allow an attacker to discover a valid API key using an approach more efficient than brute force. Details...
Covert Timing Channel
Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Covert Timing Channel via the apiserver component. An attacker can gain unauthorized access by exploiting differences in response times during API k...
CVE-2025-59425
vLLM is an inference and serving engine for large language models LLMs. Before version 0.11.0rc2, the API key support in vLLM performs validation using a method that was vulnerable to a timing attack. API key validation uses a string comparison that takes longer the more characters the provided A...
CVE-2025-59425
CVE-2025-59425 affects vLLM prior to 0.11.0rc2, where API key validation used a string comparison that leaks timing information. Attackers observing responses over many attempts could determine the next correct character in the API key, enabling authentication bypass. The issue is resolved in ver...
CVE-2025-59425 vLLM vulnerable to timing attack at bearer auth
vLLM is an inference and serving engine for large language models LLMs. Before version 0.11.0rc2, the API key support in vLLM performs validation using a method that was vulnerable to a timing attack. API key validation uses a string comparison that takes longer the more characters the provided A...
CVE-2025-59425 vLLM vulnerable to timing attack at bearer auth
vLLM is an inference and serving engine for large language models LLMs. Before version 0.11.0rc2, the API key support in vLLM performs validation using a method that was vulnerable to a timing attack. API key validation uses a string comparison that takes longer the more characters the provided A...
CVE-2025-59425
A flaw was found in vLLM’s API token authentication logic, where token comparisons were not performed in constant time. This weakness could allow an attacker to exploit timing differences to guess valid tokens and bypass authentication. Mitigation Mitigation for this issue is either not available...
CVE-2025-59425: Covert Timing Channel
vLLM is an inference and serving engine for large language models LLMs. Before version 0.11.0rc2, the API key support in vLLM performs validation using a method that was vulnerable to a timing attack. API key validation uses a string comparison that takes longer the more characters the provided A...
vLLM 安全漏洞
vLLM is a vLLM open source high throughput and memory efficient inference and service engine for LLM. A security vulnerability exists in versions prior to vLLM 0.11.0rc2, which stems from a timing attack vulnerability in the API key authentication method that could lead to authentication bypass...
vLLM 代码问题漏洞
vLLM is a vLLM open source high throughput and memory efficient inference and service engine for LLM. A code issue vulnerability exists in vLLM that stems from insufficient restriction of the target host for user-supplied URLs in the loadfromurl and loadfromurlasync methods of the MediaConnector...
PT-2025-41177
Name of the Vulnerable Software and Affected Versions vLLM affected versions not specified Description An issue exists within the MediaConnector class in the vLLM project’s multimodal feature set. Specifically, the load from url and load from url async methods do not sufficiently restrict the...
CVE-2025-6242: Server-Side Request Forgery (SSRF)
A Server-Side Request Forgery SSRF vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The loadfromurl and loadfromurlasync methods fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows an...
GHSA-9Q5R-WFVF-RR7F vulnerabilities
Vulnerabilities for packages: tritonserver-backend-vllm-cuda-12.9...
CVE-2025-58446 vulnerabilities
Vulnerabilities for packages: tritonserver-backend-vllm-cuda-12.9...
