CVE-2025-60511: moodle_block_openai_chat · n/a
Affects moodle_block_openai_chatSource CVE Database V5
Not known to be exploited · CVSS 4.3 Medium.
Data as of 25 Oct 2026, 19:02 UTC
- EPSS
- 0.2% chance of exploitation in 30 days – higher than 11% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:NExploitation evidence
Disclosed: evidence found.
CVE published 21 Oct 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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 2026-10-25.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
GitHubonurcangnc/moodle_block_openai_chatpkg:github/onurcangnc/moodle_block_openai_chatOther threats | Affected
| 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 OpenAI Chat Block plugin to trusted users only and monitor for unusual activity related to blockId parameter usage. Avoid granting unnecessary privileges to students and consider disabling the plugin if feasible until patched.
Description
Moodle OpenAI Chat Block plugin 3.0.1 (2025021700) suffers from an Insecure Direct Object Reference (IDOR) vulnerability due to insufficient validation of the blockId parameter in /blocks/openai_chat/api/completion.php. An authenticated student can impersonate another user's block (e.g., administrator) and send queries that are executed with that block's configuration. This can expose administrator-only Source of Truth entries, alter model behavior, and potentially misuse API resources.