CVE-2025-32789
Published: 16 April 2025
Summary
CVE-2025-32789 is a low-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Espocrm Espocrm. Its CVSS base score is 3.1 (Low).
Operationally, ranked in the top 35.7% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-11792
Vulnerability details
EspoCRM is an Open Source Customer Relationship Management software. Prior to version 9.0.7, users can be sorted by their password hash. This flaw allows an attacker to make assumptions about the hash values of other users stored in the password…
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column of the user table, based on the results of the sorted list of users. Although unlikely, if an attacker knows the hash value of their password, they can change the password and repeat the sorting until the other user's password hash is fully revealed. This issue is patched in version 9.0.7.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Concealment techniques directly prevent real sensitive data from being exposed to adversaries.
Restricts error message visibility to authorized recipients, directly reducing unauthorized exposure of sensitive information.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.