CVE-2026-24779

The record

A Server-Side Request Forgery (SSRF) vulnerability exists in the `MediaConnector` class within the vLLM project's multimodal feature set. The load_from_url and load_from_url_async methods obtain and process media from URLs provided by users, using different Python parsing libraries when restricting the target host. These two parsing libraries have different interpretations of backslashes, which allows the host name restriction to be bypassed. This allows an attacker to coerce the vLLM server into making arbitrary requests to internal network resources. This vulnerability is particularly critical in containerized environments like `llm-d`, where a compromised vLLM pod could be used to scan the internal network, interact with other pods, and potentially cause Denial of Service or access sensitive data. For example, an attacker could make the vLLM pod send malicious requests to an internal `llm-d` management endpoint, leading to system instability by falsely reporting metrics like the KV cache state.

Affected packages

Related vulnerabilities

• GHSA-qh4c-xf7m-gxfc vLLM vulnerable to Server-Side Request Forgery (SSRF) through MediaConnector Same vulnerability
• CVE-2026-22778 vLLM is an inference and serving engine for large language models (LLMs). Also affects vllm
• GHSA-4r2x-xpjr-7cvv vLLM has RCE In Video Processing Also affects vllm
• GHSA-2pc9-4j83-qjmr vLLM affected by RCE via auto_map dynamic module loading during model initialization Also affects vllm
• CVE-2026-22807 vLLM affected by RCE via auto_map dynamic module loading during model initialization Also affects vllm
• GHSA-grg2-63fw-f2qr vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous… Also affects vllm
• CVE-2026-22773 vLLM is an inference and serving engine for large language models (LLMs). Also affects vllm
• GHSA-mcmc-2m55-j8jj vLLM introduced enhanced protection for CVE-2025-62164 Also affects vllm