CVE-2022-42979
Published: 06 January 2023
Summary
CVE-2022-42979 is a high-severity Improper Certificate Validation (CWE-295) vulnerability in Rydesharing Ryde. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 36.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2022-42979 is an information disclosure vulnerability stemming from insecure hostname validation, tracked under CWE-295 and CWE-200. It affects version 5.8.43 of the RYDE mobile application on both Android and iOS platforms and carries a CVSS 3.1 base score of 8.8.
An attacker can exploit the flaw by crafting a malicious deep link that the application processes without proper validation. Successful exploitation allows the attacker to obtain sensitive account information and ultimately take over the victim's account, requiring only that the victim interact with the link.
The sole reference is a researcher write-up describing discovery of the one-click account takeover path; it contains no official patch or mitigation guidance. EPSS for the CVE rose from a low baseline to a peak of 0.0635 before receding to the current value of 0.0043, indicating a temporary increase in exploitation interest after public disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-46028
Vulnerability details
Information disclosure due to an insecure hostname validation in the RYDE application 5.8.43 for Android and iOS allows attackers to take over an account via a deep link.
- 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.