CVE-2024-39210
Published: 05 July 2024
Summary
CVE-2024-39210 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Mayurik Best House Rental Management System. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 7.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
Best House Rental Management System version 1.0 contains an arbitrary file read vulnerability triggered through the Page parameter on index.php. The flaw permits retrieval of arbitrary PHP files and other sensitive application data, carrying a CVSS 3.1 score of 7.5 that reflects network attackability, no required credentials, and high confidentiality impact.
An unauthenticated remote attacker can supply crafted values to the Page parameter and directly access restricted file contents, exposing source code, configuration details, or other internal information without any user interaction.
Public references consist of a GitHub repository that documents the issue but contain no vendor advisories, patches, or mitigation steps. The EPSS score remains flat at 0.0767 with no material increase after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-37868
Vulnerability details
Best House Rental Management System v1.0 was discovered to contain an arbitrary file read vulnerability via the Page parameter at index.php. This vulnerability allows attackers to read arbitrary PHP files and access other sensitive information within the application.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Arbitrary file read via public-facing web application (T1190) enables collection of data from local system files (T1005), file and directory discovery through path traversal (T1083), and access to unsecured credentials in files like configs (T1552.001).
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.