CVE-2024-53258
Published: 25 November 2024
Summary
CVE-2024-53258 is a high-severity Exposure of Private Personal Information to an Unauthorized Actor (CWE-359) vulnerability in Autolabproject Autolab. Its CVSS base score is 7.1 (High).
Operationally, ranked in the top 40.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-50520
Vulnerability details
Autolab is a course management service that enables auto-graded programming assignments. From Autolab versions v.3.0.0 onward students can download all assignments from another student, as long as they are logged in, using the download_all_submissions feature. This can allow for leakage…
more
of submissions to unauthorized users, such as downloading submissions from other students in the class, or even instructor test submissions, given they know their user IDs. This issue has been patched in commit `1aa4c769` which is not yet in a release version, but is expected to be included in version 3.0.3. Users are advised to either manually patch or to wait for version 3.0.3. As a workaround administrators can disable the feature.
- 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.
Requiring attribute association with information prevents authorization from being performed without necessary security or privacy context.
The privacy program plan explicitly addresses protection of personal information, mandating controls and resources that prevent unauthorized exposure of private personal data across the enterprise.
The control mandates an auditable trail specifically for private personal information, making unauthorized disclosures of PII more readily discoverable by the affected individual.
The board evaluates privacy implications of proposed matching, directly mitigating exposure of private personal information through uncontrolled data sharing.
Directly monitors compliance with mandates protecting personal information, making undetected exposure to unauthorized actors harder to sustain.
PII transparency and processing policy plus procedures reduce the chance of unauthorized exposure of private personal information.
Enforces restriction of PII processing to authorized purposes, reducing exposure of private personal information to unauthorized actors.
Mandating consent prior to collection directly prevents unauthorized exposure of private personal information.