CVE-2025-6242: Vllm VLLM Is Vulnerable To Server-Side Vulnerability

HIGH
Advisory Identifier: GHSA-3f6c-7fw2-ppm4
CVSS 7.1
CWE-601 CWE-918
Published
Advisory Summary

CVE-2025-6242 is a HIGH (CVSS 7.1) vllm is vulnerable to server-side vulnerability (CWE-601: URL Redirection to Untrusted Site ('Open Redirect')) affecting Vllm libraries in the PyPI ecosystem. The issue involves vllm is vulnerable to server-side request forgery (ssrf) through `mediaconnector` class. Remediation is available by upgrading affected packages to version 0.11.0.

CVE-2025-6242 at a Glance

CVE Identifier CVE-2025-6242
GHSA Identifier GHSA-3f6c-7fw2-ppm4
Severity HIGH
CVSS v3.1 Base Score 7.1
CWE Classification CWE-601: URL Redirection to Untrusted Site ('Open Redirect')
Affected Product Vllm
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 7.1

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:L/A:H).

Attack Vector Network (AV:N)
Attack Complexity High (AC:H)
Privileges Required Low (PR:L)
User Interaction None (UI:N)
Scope Unchanged (S:U)
Confidentiality High (C:H)
Integrity Low (I:L)
Availability High (A:H)

How to Fix CVE-2025-6242

To remediate this vulnerability, upgrade all affected Vllm dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

vllm fixed: 0.11.0
pip install vllm>=0.11.0
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release:

pip show vllm

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2025-6242, inspect your installed packages using pip:

pip show vllm

Analyze the terminal output to locate any version of Vllm in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 0.11.0), your application is affected.

Note: The pip show vllm command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-601: URL Redirection to Untrusted Site ('Open Redirect'), where the web application accepts a user-controlled input that specifies a link to an external site, and uses that link in a redirect. In Vllm, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

### Summary 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. 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. ### Vulnerability Details The core of the vulnerability lies in the `MediaConnector.load_from_url` method and its asynchronous counterpart. These methods accept a URL string to fetch media content (images, audio, video). https://github.com/vllm-project/vllm/blob/119f683949dfed10df769fe63b2676d7f1eb644e/vllm/multimodal/utils.py#L97-L113 The function directly processes URLs with `http`, `https`, and `file` schemes. An attacker can supply a URL pointing to an internal IP address or a `localhost` endpoint. The vLLM server will then initiate a connection to this internal resource. * **HTTP/HTTPS Scheme:** An attacker can craft a request like `{"image_url": "http://127.0.0.1:8080/internal_api"}`. The vLLM server will send a GET request to this internal endpoint. * **File Scheme:** The `_load_file_url` method attempts to restrict file access to a subdirectory defined by `--allowed-local-media-path`. While this is a good security measure for local file access, it does not prevent network-based SSRF attacks. ### Impact in `llm-d` Environments The risk is significantly amplified in orchestrated environments such as `llm-d`, where multiple pods communicate over an internal network. 1. **Denial of Service (DoS):** An attacker could target internal management endpoints of other services within the `llm-d` cluster. For instance, if a monitoring or metrics service is exposed internally, an attacker could send malformed requests to it. A specific example is an attacker causing the vLLM pod to call an internal API that reports a false KV cache utilization, potentially triggering incorrect scaling decisions or even a system shutdown. 2. **Internal Network Reconnaissance:** Attackers can use the vulnerability to scan the internal network for open ports and services by providing URLs like `http://10.0.0.X:PORT` and observing the server's response time or error messages. 3. **Interaction with Internal Services:** Any unsecured internal service becomes a potential target. This could include databases, internal APIs, or other model pods that might not have robust authentication, as they are not expected to be directly exposed. Delegating this security responsibility to an upper-level orchestrator like `llm-d` is problematic. **The orchestrator cannot easily distinguish between legitimate requests initiated by the vLLM engine for its own purposes and malicious requests originating from user input, thus complicating traffic filtering rules and increasing management overhead.** ### Fix See the `--allowed-media-domains` option discussed here: https://docs.vllm.ai/en/latest/usage/security.html#4-restrict-domains-access-for-media-urls

CVE-2025-6242 Affected Vllm Versions

1 component(s)
Fixed Versions:
0.11.0
Product / Package Ecosystem Affected Versions Fixed Version
vllm
PyPI
≥ 0.5.0
< 0.11.0
0.11.0

References

Frequently Asked Questions

What is CVE-2025-6242?
CVE-2025-6242 is a security vulnerability in Vllm involving vLLM is vulnerable to Server-Side Request Forgery (SSRF) through `MediaConnector` class under CWE-601: URL Redirection to Untrusted Site ('Open Redirect').
Which Vllm versions are affected?
Affected versions include releases prior to 0.11.0 across affected packages: vllm.
What version fixes CVE-2025-6242?
Upgrading to 0.11.0 (or the latest patched release for your respective branch) resolves the vulnerability.
Is vllm affected?
Yes, vllm is affected in releases prior to 0.11.0. Upgrade your dependency to 0.11.0 or later.
What is the CVSS score of CVE-2025-6242?
CVE-2025-6242 has a CVSS v3.1 base score of 7.1 (HIGH) with vector string CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:L/A:H.
What CWE is associated with CVE-2025-6242?
CVE-2025-6242 is classified under CWE-601: URL Redirection to Untrusted Site ('Open Redirect') (The web application accepts a user-controlled input that specifies a link to an external site, and uses that link in a redirect.).
How can I check PyPI dependencies for CVE-2025-6242?
Run the dependency tree command: 'pip show vllm'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-3f6c-7fw2-ppm4",
  "modified" : "2025-10-27T20:00:22Z",
  "published" : "2025-10-07T22:14:15Z",
  "aliases" : [ "CVE-2025-6242" ],
  "summary" : "vLLM is vulnerable to Server-Side Request Forgery (SSRF) through `MediaConnector` class",
  "details" : "### Summary\n\nA 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.\n\nThis 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.\n\n### Vulnerability Details\n\nThe core of the vulnerability lies in the `MediaConnector.load_from_url` method and its asynchronous counterpart. These methods accept a URL string to fetch media content (images, audio, video).\n\nhttps://github.com/vllm-project/vllm/blob/119f683949dfed10df769fe63b2676d7f1eb644e/vllm/multimodal/utils.py#L97-L113\n\nThe function directly processes URLs with `http`, `https`, and `file` schemes. An attacker can supply a URL pointing to an internal IP address or a `localhost` endpoint. The vLLM server will then initiate a connection to this internal resource.\n\n* **HTTP/HTTPS Scheme:** An attacker can craft a request like `{\"image_url\": \"http://127.0.0.1:8080/internal_api\"}`. The vLLM server will send a GET request to this internal endpoint.\n* **File Scheme:** The `_load_file_url` method attempts to restrict file access to a subdirectory defined by `--allowed-local-media-path`. While this is a good security measure for local file access, it does not prevent network-based SSRF attacks.\n\n### Impact in `llm-d` Environments\n\nThe risk is significantly amplified in orchestrated environments such as `llm-d`, where multiple pods communicate over an internal network.\n\n1.  **Denial of Service (DoS):** An attacker could target internal management endpoints of other services within the `llm-d` cluster. For instance, if a monitoring or metrics service is exposed internally, an attacker could send malformed requests to it. A specific example is an attacker causing the vLLM pod to call an internal API that reports a false KV cache utilization, potentially triggering incorrect scaling decisions or even a system shutdown.\n\n2.  **Internal Network Reconnaissance:** Attackers can use the vulnerability to scan the internal network for open ports and services by providing URLs like `http://10.0.0.X:PORT` and observing the server's response time or error messages.\n\n3.  **Interaction with Internal Services:** Any unsecured internal service becomes a potential target. This could include databases, internal APIs, or other model pods that might not have robust authentication, as they are not expected to be directly exposed.\n\nDelegating this security responsibility to an upper-level orchestrator like `llm-d` is problematic. **The orchestrator cannot easily distinguish between legitimate requests initiated by the vLLM engine for its own purposes and malicious requests originating from user input, thus complicating traffic filtering rules and increasing management overhead.**\n\n### Fix\n\nSee the `--allowed-media-domains` option discussed here: https://docs.vllm.ai/en/latest/usage/security.html#4-restrict-domains-access-for-media-urls",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:L/A:H"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "vllm"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0.5.0"
      }, {
        "fixed" : "0.11.0"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "WEB",
    "url" : "https://github.com/vllm-project/vllm/security/advisories/GHSA-3f6c-7fw2-ppm4"
  }, {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2025-6242"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/vllm-project/vllm/commit/9d9a2b77f19f68262d5e469c4e82c0f6365ad72d"
  }, {
    "type" : "WEB",
    "url" : "https://access.redhat.com/security/cve/CVE-2025-6242"
  }, {
    "type" : "WEB",
    "url" : "https://bugzilla.redhat.com/show_bug.cgi?id=2373716"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/vllm-project/vllm"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-601", "CWE-918" ],
    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2025-10-07T22:14:15Z",
    "nvd_published_at" : "2025-10-07T20:15:36Z"
  }
}