CVE-2021-32750
Published: 15 July 2021
Summary
CVE-2021-32750 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Muwire Project Muwire. Its CVSS base score is 6.8 (Medium).
Operationally, ranked in the top 48.7% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2021-19522
Vulnerability details
MuWire is a file publishing and networking tool that protects the identity of its users by using I2P technology. Users of MuWire desktop client prior to version 0.8.8 can be de-anonymized by an attacker who knows their full ID. An…
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attacker could send a message with a subject line containing a URL with an HTML image tag and the MuWire client would try to fetch that image via clearnet, thus exposing the IP address of the user. The problem is fixed in MuWire 0.8.8. As a workaround, users can disable messaging functionality to prevent other users from sending them malicious messages.
- 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 submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
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.