SSRF in Red Hat Ai Inference Server
CVE-2025-6242
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 fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows an attacker to coerce the vLLM server into making arbitrary requests to internal network resources.
Vulnerability class: SSRF (Server-Side Request Forgery)
EPSS: 0.002 (13.9th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 7.1 (High). Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:L/A:H.
Affected products
Weakness classification (CWE)
Public proof-of-concept exploits
References
- secalert@redhat.com (x_refsource_REDHAT, vdb-entry)
- secalert@redhat.com (x_refsource_REDHAT, issue-tracking)
Frequently asked questions
- What is CVE-2025-6242?
- CVE-2025-6242 is a high-severity vulnerability in Red Hat Ai Inference Server, classified under Server-Side Request Forgery (SSRF). CVSS score: 7.1/10. Published 2025-10-07.
- How severe is CVE-2025-6242?
- High severity. CVSS v3 base score is 7.1 out of 10.
- Is CVE-2025-6242 known to be exploited?
- 1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.