CVE-2024-42049
Published: 28 July 2024
Summary
CVE-2024-42049 is a critical-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Sourceforge (inferred from references). Its CVSS base score is 9.1 (Critical).
Operationally, ranked in the top 9.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
TightVNC Server for Windows versions prior to 2.8.84 contain a vulnerability that permits remote attackers to connect to the control pipe over the network. The issue is tracked as CVE-2024-42049 with a CVSS score of 9.1 and is classified under CWE-200 as an exposure of sensitive information to an unauthorized actor.
An unauthenticated attacker with network access can exploit the flaw to reach the control pipe, resulting in high impact to confidentiality and integrity without any user interaction or special privileges required.
The referenced advisories on the TightVNC project site and SourceForge bug tracker indicate that the issue is resolved in version 2.8.84, with the update preventing network-based connections to the control pipe.
The associated EPSS score remains at 0.0575 with no material increase observed since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-39417
Vulnerability details
TightVNC (Server for Windows) before 2.8.84 allows attackers to connect to the control pipe via a network connection.
- 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.