CVE-2024-6633
Published: 27 August 2024
Summary
CVE-2024-6633 is a critical-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Fortra Filecatalyst Workflow. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 21.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-47692
Vulnerability details
The default credentials for the setup HSQL database (HSQLDB) for FileCatalyst Workflow are published in a vendor knowledgebase article. Misuse of these credentials could lead to a compromise of confidentiality, integrity, or availability of the software. The HSQLDB is only…
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included to facilitate installation, has been deprecated, and is not intended for production use per vendor guides. However, users who have not configured FileCatalyst Workflow to use an alternative database per recommendations are vulnerable to attack from any source that can reach the HSQLDB.
- 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.
Anomalous use of hard-coded credentials can be uncovered through behavioral and log analysis during hunts.
Directly prevents exposure of critical organizational information by applying OPSEC processes across the SDLC.
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.