CVE-2024-5230
Published: 23 May 2024
Summary
CVE-2024-5230 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability. Its CVSS base score is 6.9 (Medium).
Operationally, ranked in the top 2.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
A vulnerability has been identified in EnvaySoft FleetCart versions up to 4.1.1 and classified under CWE-200 as an information disclosure issue. The flaw resides in an unspecified function where manipulation of the razorpayKeyId argument exposes sensitive data. It carries a CVSS 4.0 score of 6.9 reflecting network attack vector, low complexity, and no required privileges or user interaction.
The issue can be exploited remotely by unauthenticated attackers who supply a crafted razorpayKeyId value, resulting in unauthorized leakage of information from the application. No authentication or special conditions are needed beyond network reachability to the affected FleetCart instance.
Advisories hosted on VulDB recommend upgrading the affected component to a version that resolves the parameter-handling weakness. The current EPSS score of 0.4073 matches its recorded peak, indicating moderate but stable exploitation interest since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-46469
Vulnerability details
A vulnerability has been found in EnvaySoft FleetCart up to 4.1.1 and classified as problematic. Affected by this vulnerability is an unknown functionality. The manipulation of the argument razorpayKeyId leads to information disclosure. The attack can be launched remotely. It…
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is recommended to upgrade the affected component. The identifier VDB-265981 was assigned to this vulnerability.
- 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.