CVE-2022-24837
Published: 11 April 2022
Summary
CVE-2022-24837 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Hedgedoc Hedgedoc. Its CVSS base score is 5.3 (Medium).
Operationally, ranked in the top 45.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-29622
Vulnerability details
HedgeDoc is an open-source, web-based, self-hosted, collaborative markdown editor. Images uploaded with HedgeDoc version 1.9.1 and later have an enumerable filename after the upload, resulting in potential information leakage of uploaded documents. This is especially relevant for private notes and…
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affects all upload backends, except Lutim and imgur. This issue is patched in version 1.9.3 by replacing the filename generation with UUIDv4. If you cannot upgrade to HedgeDoc 1.9.3, it is possible to block POST requests to `/uploadimage`, which will disable future uploads.
- 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.