SQL injection via improperly quoted listing columns
Published Jun 27, 2022 · Updated Apr 22, 2025
SQL injection in Pimcore before 10.4.4 allows remote authenticated users to execute arbitrary SQL through listing sort or group input. AbstractListing::setOrderKey() and setGroupBy() wrap untrusted identifiers in backticks instead of using the database driver's identifier-quoting routine. Exploitation requires application code, such as Data Hub GraphQL, to pass user-controlled column names into these methods without prior validation.
Summary
What happened
SQL injection in Pimcore before 10.4.4 allows remote authenticated users to execute arbitrary SQL through listing sort or group input. AbstractListing::setOrderKey() and setGroupBy() wrap untrusted identifiers in backticks instead of using the database driver's identifier-quoting routine. Exploitation requires application code, such as Data Hub GraphQL, to pass user-controlled column names into these methods without prior validation.
The record
- CVE
- CVE-2022-31092
- Published
- Jun 27, 2022
- Updated
- Apr 22, 2025
- Vendor
- Pimcore
- Product
- Pimcore
- Classifications
- CWE-89, T1190
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Jun 27, 2022CVE publishedPublication date reported by the CVE source.
- Apr 22, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
Compare your product and version with the public record. A matching version still requires validation against your environment.
Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=< 10.4.4
What conditions does exploitation require?
What is affected?
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- GHSA listing-class SQL injection exampleproof of concept · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
See the directory against your own environment.
Your stack
Check the software in your environment
Book a demo to see how Hinoki identifies affected software and validates exploitability in your environment.
Book a demo