7.7

CVE-2026-31891

Cockpit is a headless content management system. Any Cockpit CMS instance running version 2.13.4 or earlier with API access enabled is potentially affected by a a SQL Injection vulnerability in the MongoLite Aggregation Optimizer. Any deployment where the `/api/content/aggregate/{model}` endpoint is publicly accessible or reachable by untrusted users may be vulnerable, and attackers in possession of a valid read-only API key (the lowest privilege level) can exploit this vulnerability — no admin access is required. An attacker can inject arbitrary SQL via unsanitized field names in aggregation queries, bypass the `_state=1` published-content filter to access unpublished or restricted content, and extract unauthorized data from the underlying SQLite content database. This vulnerability has been patched in version 2.13.5. The fix applies the same field-name sanitization introduced in v2.13.3 for `toJsonPath()` to the `toJsonExtractRaw()` method in `lib/MongoLite/Aggregation/Optimizer.php`, closing the injection vector in the Aggregation Optimizer.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Agentejo ≫ Cockpit Version < 2.13.5
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 0.01% 0.011
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
nvd@nist.gov 6.5 2.8 3.6
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
security-advisories@github.com 7.7 3.1 4
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N
CWE-89 Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.