CVE-2024-32870
Published: 05 November 2024
Summary
CVE-2024-32870 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Combodo Itop. Its CVSS base score is 5.8 (Medium).
Operationally, ranked in the top 3.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
Combodo iTop, a web-based IT Service Management tool, is affected by an information disclosure vulnerability (CVE-2024-32870, CWE-200) that exposes server, operating system, DBMS, PHP, and iTop instance details including name, version, and parameters. The flaw is reachable by any party with network access to the application's URI and carries a CVSS 3.1 score of 5.8.
An unauthenticated remote attacker can retrieve this configuration and environment data without credentials or user interaction, enabling reconnaissance that may support targeted follow-on exploitation of the affected deployment.
The associated GitHub advisory states that the issue is resolved in iTop versions 2.7.11, 3.0.5, 3.1.2, and 3.2.0, and that no workarounds exist; administrators are advised to upgrade promptly. The EPSS score has remained flat at 0.2768 with no material increase after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-30653
Vulnerability details
Combodo iTop is a simple, web based IT Service Management tool. Server, OS, DBMS, PHP, and iTop info (name, version and parameters) can be read by anyone having access to iTop URI. This issue has been patched in versions 2.7.11,…
more
3.0.5, 3.1.2, and 3.2.0. Users are advised to upgrade. There are no known workarounds for this vulnerability.
- 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.
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.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.