CVE-2025-67849
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedA flaw was found in Moodle. This cross-site scripting (XSS) vulnerability, caused by improper sanitization of AI prompt responses, allows attackers to inject malicious HTML or script into web pages. When other users view these compromised pages, their sessions could be stolen, or the user interface could be manipulated.
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · moderate confidenceMoodle fails to properly sanitize AI prompt responses before displaying them in the web interface, allowing attackers to inject malicious HTML or JavaScript that executes in other users' browsers. This is a stored XSS vulnerability where the malicious payload originates from AI-generated content and persists for users who view the compromised pages.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.
NVD · CPE data>= 4.5.0, < 4.5.8>= 5.0.0, < 5.0.4= 5.1.0CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Network
- Complexity
- Low
- Privileges
- None
- User interaction
- Required
- Scope
- Changed
- Confidentiality
- Low
- Integrity
- Low
- Availability
- None
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Check your Moodle versionNavigate to Site Administration > Server > Environment or check the version.php file in your Moodle root directory. Run: grep '$version' version.php | head -5Affected if The installed version is >= 4.5.0 and < 4.5.8, OR >= 5.0.0 and < 5.0.4, OR = 5.1.0
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Verify AI module is enabledGo to Site Administration > Plugins > Manage plugins and search for AI-related plugins (AI Assistant, AI Pool, or similar). Check if any AI plugins are installed and enabled.Affected if Any AI plugin or AI assistant feature is enabled and configured for use
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Identify AI response storage locationsExamine the database tables for AI-related content: look for tables prefixed with 'ai_' or containing 'prompt'/'response' in the mdl_ prefix database. Use: SHOW TABLES LIKE '%ai%' or SHOW TABLES LIKE '%prompt%'Affected if AI prompt response data exists in the database from user interactions
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Inspect AI output rendering pointsSearch the codebase for files that render AI responses in the web UI. Look for templates or renderers handling AI content output, typically in lib/ or mod/ai/ directories.Affected if AI response content is rendered without visible sanitization checks (look for 'format_text', 's', or 'purify' functions applied to AI output)
You are affected if your Moodle version falls within the affected ranges AND the AI module/feature is enabled and being used to generate and display AI responses in the web interface.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
dbcve · scoped4.5.85.0.4
Implement proper output encoding and sanitization for all AI prompt responses before rendering in the web UI, following Moodle's existing XSS prevention patterns.
Moodle 4.5.8 (for 4.5.x branches) OR Moodle 5.0.4 (for 5.0.x branches) OR Moodle 5.1.1+ (for 5.1.0)
- 1. Backup your Moodle database and all site files before proceeding
- 2. Place your Moodle site into maintenance mode via Site administration > Server > Maintenance mode
- 3. Download the appropriate fixed Moodle version from the official Moodle downloads page (moodle.org)
- 4. Extract the new Moodle files and replace your existing installation files
- 5. Run the Moodle upgrade script by accessing your site URL (e.g., yourmoodlesite.com/admin/index.php)
- 6. Follow the on-screen upgrade instructions to complete the database migration
- 7. Clear all Moodle caches after upgrade completes
- 8. Verify the AI prompt functionality works correctly and test that XSS is mitigated
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation2.0 h
- Implementation4.0 h
- Testing3.0 h
- Review / QA2.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2025-67849 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2025-67849 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
- No weaponised exploit code, or anything meant to cause harm
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