CVE-2023-4168
Published: 05 August 2023
Summary
CVE-2023-4168 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Templatecookie Adlisting. Its CVSS base score is 4.3 (Medium).
Operationally, ranked in the top 1.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
CVE-2023-4168 is an information disclosure vulnerability in Templatecookie Adlisting version 2.14.0. It resides in an unspecified function of the /ad-list file within the Redirect Handler component, where improper handling of input allows sensitive data exposure. The issue received a CVSS v3.1 score of 4.3 and is tracked under CWE-200.
A remote attacker with low privileges can exploit the flaw over the network without user interaction to retrieve limited information from the affected application. The vendor was notified prior to public disclosure but provided no response.
Public references including Packet Storm and Vuldb entries describe the issue and link to a proof-of-concept, while the EPSS score rose from lower values after the 2023 publication to a peak of 0.7817 in late 2025 before settling near 0.7465, indicating renewed exploitation interest well after initial disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-54047
Vulnerability details
A vulnerability was found in Templatecookie Adlisting 2.14.0. It has been classified as problematic. Affected is an unknown function of the file /ad-list of the component Redirect Handler. The manipulation leads to information disclosure. It is possible to launch the…
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attack remotely. The identifier of this vulnerability is VDB-236184. NOTE: The vendor was contacted early about this disclosure but did not respond in any way.
- 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.