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CVE-2022-29072 affects 7-Zip through version 21.07 on Windows systems. The vulnerability allows privilege escalation and command execution when a file with the .7z extension is dragged to the Help>Contents area. This vulnerability was discovered in April 2022 and is caused by a misconfiguration of 7z.dll and a heap overflow, where the command runs in a child process under the 7zFM.exe process. However, the vulnerability is disputed as multiple third parties have reported that no privilege escalation can occur (NVD, SecurityOnline).
The vulnerability involves interaction with Windows HTML Helper (hh.exe) and occurs when files are dragged to the help content area. The issue stems from two components: a heap overflow vulnerability in 7zFM.exe and a command execution feature in the Windows HTML Helper. The CVSS v3.1 base score is 7.8 (HIGH) with the vector string CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H. The vulnerability is classified under CWE-787 (Out-of-bounds Write) and CWE-122 (Heap-based Buffer Overflow) (NVD).
If successfully exploited, the vulnerability could allow an attacker to escalate privileges to administrator level and execute arbitrary commands on the affected system. The command execution occurs as a child process under 7zFM.exe, potentially granting elevated privileges to the attacker (SecurityOnline).
A temporary mitigation is available by deleting the 7-zip.chm file in the 7-Zip installation directory. This prevents exploitation of the CVE-2022-29072 vulnerability. As of the initial disclosure, no official patch had been released by the 7-Zip developers (SecurityOnline).
The vulnerability has been subject to significant debate in the security community. Some researchers have questioned the validity of the privilege escalation claims, while others have noted that the attack vector (dragging files to the help window) is unusual and unlikely to be exploited in real-world scenarios. The 7-Zip developers have disputed whether the issue lies with their software or with the Windows HTML Helper system (HackerNews).
Source: This report was generated using AI
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