CVE-2023-39677
Published: 20 September 2023
Summary
CVE-2023-39677 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Myprestamodules Product Catalog \(Csv\, Excel\) Import. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 1.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
MyPrestaModules Prestashop Module version 6.2.9 and UpdateProducts Prestashop Module version 3.6.9 contain a PHPInfo information disclosure vulnerability reachable through the send.php endpoint. The flaw is tracked as CVE-2023-39677 with a CVSS 3.1 base score of 7.5 and is classified under CWE-200. It allows remote, unauthenticated access to detailed PHP configuration output without requiring user interaction.
An attacker with network access can directly request the affected endpoint to retrieve sensitive environment details such as loaded extensions, configuration directives, and server variables. Successful exploitation yields high-impact confidentiality exposure while leaving integrity and availability unaffected, consistent with the network-attack vector and lack of required privileges described in the CVSS vector.
The issue was publicly detailed in a technical analysis published shortly after the September 2023 disclosure, with the affected vendor sites also referenced in the available reporting. The associated EPSS score reached a peak of 0.8045 and currently stands at 0.7722, indicating sustained but not sharply escalating exploitation interest after publication.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-43378
Vulnerability details
MyPrestaModules Prestashop Module v6.2.9 and UpdateProducts Prestashop Module v3.6.9 were discovered to contain a PHPInfo information disclosure vulnerability via send.php.
- 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.