CVE-2024-36471
Published: 10 June 2024
Summary
CVE-2024-36471 is a high-severity Improper Input Validation (CWE-20) vulnerability in Apache Allura. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 45.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-36108
Vulnerability details
Import functionality is vulnerable to DNS rebinding attacks between verification and processing of the URL. Project administrators can run these imports, which could cause Allura to read from internal services and expose them. This issue affects Apache Allura from 1.0.1…
more
through 1.16.0. Users are recommended to upgrade to version 1.17.0, which fixes the issue. If you are unable to upgrade, set "disable_entry_points.allura.importers = forge-tracker, forge-discussion" in your .ini config file.
- 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.
Penetration testing attempts to access or extract sensitive data, revealing exposure of sensitive information to unauthorized actors.
Directly implements checks on information inputs to reject invalid data before processing.
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.