CVE-2025-6242
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Description
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.
Statement
This vulnerability has been rated as having the severity of Important by the Red Hat Product Security team as a successful exploitation by an attacker may lead to confidential data being leaked or a denial of service. Additionally the fact a unprivileged user can trigger this vulnerability through the network also contributes for the severity.
This vulnerability has its risk amplified on orchestrated environments as pods running the vLLM may eventually communicate with each other through internal cluster routing, including services that should not have been exposed to external networks. An attacker may leverage this flaw to interact with internal services, perform network reconnaissance or trigger a denial of service by leading other internal services to fail.
Mitigation
Red Hat has investigated whether a possible mitigation exists for this issue, and has not been able to identify a practical example. Please update the affected package as soon as possible.
Additional Information
- This content is not included.Bugzilla 2373716: vllm: Server Side request forgery (SSRF) in MediaConnector
- Content from cwe.mitre.org is not included.CWE-918: Server-Side Request Forgery (SSRF)
- FAQ: Frequently asked questions about CVE-2025-6242
- Offline Security Data data is available for integration with other systems. See Offline Security Data API to get started.
External References
Content from www.cve.org is not included.https://www.cve.org/CVERecord?id=CVE-2025-6242
Content from nvd.nist.gov is not included.https://nvd.nist.gov/vuln/detail/CVE-2025-6242
Affected Packages and Issued Red Hat Security Errata
| Products / Services | Components | State | Errata |
|---|---|---|---|
| Red Hat AI Inference Server | rhaiis/vllm-spyre-rhel9 | Will not fix | |
| Red Hat AI Inference Server | rhaiis/vllm-tpu-rhel9 | Will not fix | |
| Red Hat AI Inference Server 3.2 | rhaiis/vllm-cuda-rhel9 | Fixed | RHSA-2025:23078 |
| Red Hat AI Inference Server 3.2 | rhaiis/vllm-rocm-rhel9 | Fixed | RHSA-2025:23079 |
| Red Hat AI Inference Server 3.2 | rhaiis/model-opt-cuda-rhel9 | Fixed | RHSA-2025:23080 |
| Red Hat AI Inference Server 3.2 | rhaiis/vllm-cuda-rhel9 | Fixed | RHSA-2026:3461 |
| Red Hat AI Inference Server 3.2 | rhaiis/vllm-rocm-rhel9 | Fixed | RHSA-2026:3462 |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/bootc-amd-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/bootc-aws-nvidia-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/bootc-azure-amd-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/bootc-azure-nvidia-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/bootc-gcp-nvidia-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/bootc-intel-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/bootc-nvidia-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/disk-image-nvidia-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/docling-serve-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/gemma-2-9b-it | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/gemma-2-9b-it-fp8 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/granite-3.1-8b-lab-v1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/granite-3.1-8b-lab-v2.1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/granite-3.1-8b-starter-v1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/granite-3.1-8b-starter-v2.1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/granite-7b-redhat-lab | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/granite-7b-starter | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/granite-8b-code-base | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/granite-8b-code-instruct | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/granite-8b-lab-v1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/granite-8b-lab-v2-preview | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/granite-8b-starter-v1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/instructlab-amd-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/instructlab-intel-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/instructlab-nvidia-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/knowledge-adapter-v3 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/mixtral-8x7b-instruct-v0-1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-docling-layout | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-docling-tableformer | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-gemma-2-9b-it | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-gemma-2-9b-it-fp8 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-granite-3-1-8b-lab-v1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-granite-3-1-8b-lab-v2 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-granite-3-1-8b-lab-v2-1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-granite-3-1-8b-starter-v1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-granite-3-1-8b-starter-v2 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-granite-3-1-8b-starter-v2-1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-granite-7b-redhat-lab | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-granite-7b-starter | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-granite-8b-code-base | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-granite-8b-code-instruct | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-granite-8b-lab-v1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-granite-8b-lab-v2-preview | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-granite-8b-starter-v1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-knowledge-adapter-v3 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-mixtral-8x7b-instruct-v0-1 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-prometheus-8x7b-v2-0 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-skills-adapter-v3 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/modelcar-snowflake-arctic-embed-l-v2.0 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/pathservice-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/prometheus-8x7b-v2-0 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/skills-adapter-v3 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) | rhelai1/ui-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-aws-cuda-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-azure-cuda-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-cuda-rhel9 | Will not fix | |
| Red Hat Enterprise Linux AI (RHEL AI) 3 | rhelai3/bootc-gcp-cuda-rhel9 | Will not fix | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-vllm-cuda-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-vllm-rocm-rhel9 | Affected | |
| Red Hat OpenShift AI (RHOAI) | rhoai/odh-kserve-storage-initializer-rhel9 | Not affected | |
| Red Hat OpenShift AI 2.25 | rhoai/odh-vllm-cpu-rhel9 | Fixed | RHSA-2026:10184 |
| Red Hat OpenShift AI 3.3 | rhoai/odh-vllm-cpu-rhel9 | Fixed | RHSA-2026:19712 |
| Red Hat OpenShift AI 3.3 | rhoai/odh-kserve-agent-rhel9 | Fixed | RHSA-2026:3713 |
| Red Hat OpenShift AI 3.3 | rhoai/odh-kserve-controller-rhel9 | Fixed | RHSA-2026:3713 |
| Red Hat OpenShift AI 3.3 | rhoai/odh-kserve-router-rhel9 | Fixed | RHSA-2026:3713 |
| Red Hat OpenShift AI 3.3 | rhoai/odh-vllm-gaudi-rhel9 | Fixed | RHSA-2026:3713 |
Common Vulnerability Scoring System (CVSS) Score Details
Important note
CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authorities (CNA) source for its products and services (see Red Hat classifications ).
| CVSS v3 Score Breakdown | Red Hat | NVD |
|---|---|---|
| CVSS v3 Base Score | 7.1 | |
| Attack Vector | Network | |
| Attack Complexity | High | |
| Privileges Required | Low | |
| User Interaction | None | |
| Scope | Unchanged | |
| Confidentiality Impact | High | |
| Integrity Impact | Low | |
| Availability Impact | High |
CVSS v3 Vector
Red Hat CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:L/A:H
Frequently Asked Questions
Why is Red Hat's CVSS v3 score or Impact different from other vendors?
For more information, see https://access.redhat.com/solutions/762393.
My product is listed as "Under investigation" or "Affected", when will Red Hat release a fix for this vulnerability?
- "Under investigation" doesn't necessarily mean that the product is affected by this vulnerability. It only means that our Analysis Team is still working on determining whether the product is affected and how it is affected.
- "Affected" means that our Analysis Team has determined that this product is affected by this vulnerability and might release a fix to address this in the near future.
What can I do if my product is listed as "Will not fix"?
Available options depend mostly on the Impact of the vulnerability and the current Life Cycle phase of your product. Overall, you have the following options:
- Upgrade to a supported product version that includes a fix for this vulnerability (recommended).
- Apply a mitigation (if one exists).
- Open a This content is not included.support case to request a prioritization of releasing a fix for this vulnerability.
What can I do if my product is listed as "Fix deferred"?
Available options depend mostly on the Impact of the vulnerability and the current Life Cycle phase of your product. Overall, you have the following options:
- Apply a mitigation (if one exists).
- Open a This content is not included.support case to request a prioritization of releasing a fix for this vulnerability.
- Red Hat Engineering focuses on addressing high-priority issues based on their complexity or limited lifecycle support. Therefore, lower-priority issues will not receive immediate fixes.
What is a mitigation?
I have a Red Hat product but it is not in the above list, is it affected?
Why is my security scanner reporting my product as vulnerable to this vulnerability even though my product version is fixed or not affected?
My product is listed as "Out of Support Scope". What does this mean?
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