CVE-2024-40633
Published: 17 July 2024
Summary
CVE-2024-40633 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability. Its CVSS base score is 5.3 (Medium).
Operationally, ranked at the 47.3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-2259
Vulnerability details
Sylius is an Open Source eCommerce Framework on Symfony. A security vulnerability was discovered in the `/api/v2/shop/adjustments/{id}` endpoint, which retrieves order adjustments based on incremental integer IDs. The vulnerability allows an attacker to enumerate valid adjustment IDs and retrieve order…
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tokens. Using these tokens, an attacker can access guest customer order details - sensitive guest customer information. The issue is fixed in versions: 1.12.19, 1.13.4 and above. The `/api/v2/shop/adjustments/{id}` will always return `404` status. Users are advised to upgrade. Users unable to upgrade may alter their config to mitigate this issue. Please see the linked GHSA for details.
- 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.