CVE-2024-21645

MEDIUM5.3EPSS 73.4%

pyload Log Injection vulnerability

發布日:2024/1/8修改日:2024/2/16

描述

### Summary A log injection vulnerability was identified in `pyload`. This vulnerability allows any unauthenticated actor to inject arbitrary messages into the logs gathered by `pyload`. ### Details `pyload` will generate a log entry when attempting to sign in with faulty credentials. This entry will be in the form of `Login failed for user 'USERNAME'`. However, when supplied with a username containing a newline, this newline is not properly escaped. Newlines are also the delimiter between log entries. This allows the attacker to inject new log entries into the log file. ### PoC Run `pyload` in the default configuration by running the following command ``` pyload ``` We can now sign in as the pyload user and view the logs at `http://localhost:8000/logs`. ![Viewing the logs](https://user-images.githubusercontent.com/44903767/294433796-f2c96e39-8000-4649-99bb-9c50e786243d.png) Any unauthenticated attacker can now make the following request to inject arbitrary logs. ``` curl 'http://localhost:8000/login?next=http://localhost:8000/' -X POST -H 'Content-Type: application/x-www-form-urlencoded' --data-raw $'do=login&username=wrong\'%0a[2024-01-05 02:49:19] HACKER PinkDraconian THIS ENTRY HAS BEEN INJECTED&password=wrong&submit=Login' ``` If we now were to look at the logs again, we see that the entry has successfully been injected. ![PoC2](https://user-images.githubusercontent.com/44903767/294434785-2fc6dce4-3e2c-4da0-8e80-a6bba882f756.png) ### Impact Forged or otherwise, corrupted log files can be used to cover an attacker’s tracks or even to implicate another party in the commission of a malicious act.

受影響套件(1)

CVSS 分數

來源版本嚴重程度向量
osvCVSS 3.1MEDIUM5.3CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N

參考連結(4)