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VulnerabilityPublished Updated

CVE-2026-103243: ModelTC LightLLM · Server-Side Request Forgery (SSRF)

Affects ModelTC LightLLMSource CVE Database V5

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Not known to be exploited · CVSS 6.9 Medium.

Data as of 14 Nov 2026, 20:43 UTC

CVSS 4.0 base score
6.9Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 24% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:L/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 30 Sep 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 14 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
ModelTCLightLLMAffected
  • <=1.2.0
Fixed in–
GitHubLightLLMpkg:github/LightLLMOther threatsAffected
  • <=1.2.0
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Until an official fix is available, restrict access to the affected endpoints and validate or sanitize input parameters to prevent SSRF. Monitor for unusual outbound requests from the server. Avoid exposing the vulnerable versions in untrusted environments.

Description

CVE-2026-103243 is a server-side request forgery (SSRF) vulnerability in ModelTC LightLLM versions up to 1.2.0. The vulnerability arises because the product fails to validate the image_url and audio_url parameters in its multimodal endpoints. This allows unauthenticated attackers to supply arbitrary URLs, causing the server to fetch internal resources. The vision model processing can disclose content or error responses that reveal internal network topology. The vulnerability has a medium severity with a CVSS score of 6.9.

References

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