CVE-2026-32730:
Authentication bypass vulnerability in ApostropheCMS allows incomplete login tokens to be used as fully authenticated bearer tokens, circumventing multi-factor authentication.
Score
A numerical rating that indicates how dangerous this vulnerability is.
8.1High- Published Date:Mar 18, 2026
- CISA KEV Date:*No Data*
- Industries Affected:20
Exploitability
- Score:2.2
- Attack Vector:NETWORK
- Attack Complexity:HIGH
- Privileges Required:NONE
- User Interaction:NONE
- Scope:UNCHANGED
Impact
- Score:5.9
- Confidentiality Impact:HIGH
- Integrity Impact:HIGH
- Availability Impact:HIGH
Description Preview
Authentication bypass vulnerability in ApostropheCMS allows incomplete login tokens to be used as fully authenticated bearer tokens, circumventing multi-factor authentication.
Overview
The vulnerability (CVE-2026-32730) in ApostropheCMS, an open-source content management framework, stems from an implementation error in the bearer token authentication middleware. The flaw allows attackers to bypass multi-factor authentication by using incomplete login tokens. This high-severity issue, with a CVSS v3.1 base score of 8.1, affects all versions of ApostropheCMS prior to 4.28.0. The vulnerability is particularly concerning as it requires no user interaction and can be exploited remotely without any privileges. While the attack complexity is high, successful exploitation could lead to severe impacts on the confidentiality, integrity, and availability of affected systems.
Remediation
- To address this vulnerability, users of ApostropheCMS should immediately upgrade to version 4.28.0 or later. This version contains the fix for the incorrect MongoDB query in the bearer token authentication middleware. Organizations using ApostropheCMS should prioritize this update, especially if they rely on multi-factor authentication for enhanced security. In addition to upgrading, it is recommended to review authentication logs for any suspicious activities that might indicate exploitation attempts. Implementing additional security measures such as network segmentation and robust monitoring can help mitigate potential risks while the update is being applied.
References
Industries Affected
Below is a list of industries most commonly impacted or potentially at risk based on intelligence.