Vulnerability · CVE-2026-24779
vLLM is an inference and serving engine for large language models (LLMs).
Published Jan 27, 2026 · catalog updated Jul 21, 2026 · vLLM is an inference
Last checked Nov 5, 2026. A connected source was read within the last 7 days.
Check if you run it
No confirmed exploitation is on record for CVE-2026-24779. EPSS is 0.58%. Act only if a listed version of vLLM is an inference is installed.
Gaps on this record
- The stored product name is a package slug. The name on this page is taken from the title (vLLM is an inference).
- No vendor fix or required action is stored. Compare the linked advisory before you change production.
Same product and reporting
- CVE-2026-115917 · Medium
- CVE-2026-100653 · High
- CVE-2026-44223 · Medium
- CVE-2026-44222 · High
- CVE-2026-7141 · Low
- Severity
- High7.1
- Known exploitation
- Not in CISA/VulnCheck KEV
- EPSS
- 0.58%
- Remediation
- Version ranges on file
- Affected products
- vendor vllm-project vllm < 0.14.1
vLLM is an inference and serving engine for large language models (LLMs). Prior to version 0.14.1, a Server-Side Request Forgery (SSRF) vulnerability exists in the 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
Are you affected?
Enter the version you run. The result uses only the ranges stored on this record.
The check returns affected, not affected, or incomplete. It does not guess a version that is missing from the record.
- vendor vllm-project vllm < 0.14.1< 0.14.1
How to fix CVE-2026-24779
Upgrade
CVE-2026-24779 lists a fix boundary at 0.14.1. Compare the installed build with that boundary before you change production.
Version check
Affected < 0.14.1
Advisory
Open the cve_org record and follow its fix.
Official advisories
What to do
Three questions, each answered from this record only. Confirm the vendor advisory before you patch.
Should you patch?
No confirmed exploitation is on record for CVE-2026-24779. EPSS is 0.58%. Act only if a listed version of vLLM is an inference is installed.
Which versions are affected?
Compare what you have installed with vllm-project vllm < 0.14.1 < 0.14.1. Compare the installed version with the linked vendor advisory before you change production.
What should an analyst verify?
No weakness class is stored. EPSS 0.58%. There is no CISA KEV listing. No Exploit-DB or Metasploit reference is linked. Use the source links for the original advisory.
Code
The project this record applies to. Exploit listings stay in References.
Timeline
Detection, updates, and resolution for this record.
Jan 27, 2026 · EUVD
Detected
vLLM is an inference and serving engine for large language models (LLMs). Prior to version 0.14.1, a Server-Side Request Forgery (SSRF) vulnerability exists in the 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. T
Jul 21, 2026 · EUVD
Updated
vLLM is an inference and serving engine for large language models (LLMs). Prior to version 0.14.1, a Server-Side Request Forgery (SSRF) vulnerability exists in the 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. T
Sources
- CVE.orgVulnerability recordCVE-2026-24779
Official CVE identifier
cve.org - FIRST EPSSExploitation probabilityCVE-2026-24779
30-day exploitation probability 0.58%
first.org - EUVDVulnerability recordEUVD-2026-4711
vLLM is an inference and serving engine for large language models (LLMs). Prior to version 0.14.1, a Server-Side Request Forgery (SSRF) vulnerability exists in the class within the vLLM project's multimodal feature set. The load_from_url and load_from_url_async methods obtain and
euvd.enisa.europa.eu
References
Freshness
Last verified in this catalog Nov 5, 2026. Significant claims (KEV, EPSS, CVSS, affected ranges) come from the source rows above — open the original publisher for the authoritative advisory.
- FIRST EPSSNov 5, 2026
- CVE.orgNov 4, 2026
- EUVDNov 2, 2026