CVE-2025-62363
Oct. 13, 2025, 10:15 p.m.
7.8
High
Description
yt-grabber-tui is a terminal user interface application for downloading videos. In versions before 1.0-rc, the application allows users to configure the path to the yt-dlp executable via the path_to_yt_dlp configuration setting. An attacker with write access to the configuration file or the filesystem location of the configured executable can replace the executable with malicious code or create a symlink to an arbitrary executable. When the application invokes yt-dlp, the malicious code is executed with the privileges of the user running yt-grabber-tui. This vulnerability has been patched in version 1.0-rc.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Yt-grabber |
|
|
| Yt-dlp |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-59
Improper Link Resolution Before File Access ('Link Following')
The product attempts to access a file based on the filename, but it does not properly prevent that filename from identifying a link or shortcut that resolves to an unintended resource.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | yt-grabber | yt-grabber-tui | <1.0-rc | / | / | / | / | / | / | / |
| a | yt-dlp | yt-dlp | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: LOCAL
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Timeline
Published: Oct. 13, 2025, 10:15 p.m.
Last Modified: Oct. 13, 2025, 10:15 p.m.
Last Modified: Oct. 13, 2025, 10:15 p.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.