CVE-2021-43823
Published: 13 December 2021
Summary
CVE-2021-43823 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Sourcegraph Sourcegraph. Its CVSS base score is 6.5 (Medium).
Operationally, ranked in the top 31.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2021-30703
Vulnerability details
Sourcegraph is a code search and navigation engine. Sourcegraph prior to version 3.33.2 is vulnerable to a side-channel attack where strings in private source code could be guessed by an authenticated but unauthorized actor. This issue affects the Saved Searches…
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and Code Monitoring features. A successful attack would require an authenticated bad actor to create many Saved Searches or Code Monitors to receive confirmation that a specific string exists. This could allow an attacker to guess formatted tokens in source code, such as API keys. This issue was patched in version 3.33.2 and any future versions of Sourcegraph. We strongly encourage upgrading to secure versions. If you are unable to, you may disable Saved Searches and Code Monitors.
- 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.
Concealment techniques directly prevent real sensitive data from being exposed to adversaries.
Restricts error message visibility to authorized recipients, directly reducing unauthorized exposure of sensitive information.
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.