CVE-2023-49282
Published: 05 December 2023
Summary
CVE-2023-49282 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Microsoft Graph. Its CVSS base score is 5.4 (Medium).
Operationally, ranked at the 36.3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-3185
Vulnerability details
msgraph-sdk-php is the Microsoft Graph Library for PHP. The Microsoft Graph PHP SDK published packages which contained test code that enabled the use of the phpInfo() function from any application that could access and execute the file at vendor/microsoft/microsoft-graph/tests/GetPhpInfo.php. The…
more
phpInfo function exposes system information. The vulnerability affects the GetPhpInfo.php script of the PHP SDK which contains a call to the phpinfo() function. This vulnerability requires a misconfiguration of the server to be present so it can be exploited. For example, making the PHP application’s /vendor directory web accessible. The combination of the vulnerability and the server misconfiguration would allow an attacker to craft an HTTP request that executes the phpinfo() method. The attacker would then be able to get access to system information like configuration, modules, and environment variables and later on use the compromised secrets to access additional data. This problem has been patched in versions 1.109.1 and 2.0.0-RC5. If an immediate deployment with the updated vendor package is not available, you can perform the following temporary workarounds: delete the `vendor/microsoft/microsoft-graph/tests/GetPhpInfo.php` file, remove access to the `/vendor` directory, or disable the phpinfo function.
- 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.