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CVE-2023-39523
No affected components available
ScanCode.io is a server to script and automate software composition analysis with ScanPipe pipelines. Prior to version 32.5.1, the software has a possible command injection vulnerability in the docker fetch process as it allows to append malicious commands in the docker_reference parameter.
In the function scanpipe/pipes/fetch.py:fetch_docker_image the parameter docker_reference is user controllable. The docker_reference variable is then passed to the vulnerable function get_docker_image_platform. However, the get_docker_image_plaform function constructs a shell command with the passed docker_reference. The pipes.run_command then executes the shell command without any prior sanitization, making the function vulnerable to command injections. A malicious user who is able to create or add inputs to a project can inject commands. Although the command injections are blind and the user will not receive direct feedback without logs, it is still possible to cause damage to the server/container. The vulnerability appears for example if a malicious user adds a semicolon after the input of docker://;, it would allow appending malicious commands.
Version 32.5.1 contains a patch for this issue. The docker_reference input should be sanitized to avoid command injections and, as a workaround, one may avoid creating commands with user controlled input directly.
The vulnerability can be exploited over a local network, such as Wi-Fi. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a low impact on the confidentiality of the information. There is a low impact on the integrity of the data. There is a high impact on the availability of the system.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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