Skip to content

yt-dlp: Arbitrary Command Injection when using the `--netrc-cmd` option

High severity GitHub Reviewed Published Feb 21, 2026 in yt-dlp/yt-dlp • Updated Feb 24, 2026

Package

pip yt-dlp (pip)

Affected versions

>= 2023.06.21, < 2026.02.21

Patched versions

2026.02.21

Description

Summary

When yt-dlp's --netrc-cmd command-line option (or netrc_cmd Python API parameter) is used, an attacker could achieve arbitrary command injection on the user's system with a maliciously crafted URL.

Impact

yt-dlp maintainers assume the impact of this vulnerability to be high for anyone who uses --netrc-cmd in their command/configuration or netrc_cmd in their Python scripts. Even though the maliciously crafted URL itself will look very suspicious to many users, it would be trivial for a maliciously crafted webpage with an inconspicuous URL to covertly exploit this vulnerability via HTTP redirect. Users without --netrc-cmd in their arguments or netrc_cmd in their scripts are unaffected. No evidence has been found of this exploit being used in the wild.

Patches

yt-dlp version 2026.02.21 fixes this issue by validating all netrc "machine" values and raising an error upon unexpected input.

Workarounds

It is recommended to upgrade yt-dlp to version 2026.02.21 as soon as possible.

Users who are unable to upgrade should avoid using the --netrc-cmd command-line option (or netrc_cmd Python API parameter), or they should at least not pass a placeholder ({}) in their --netrc-cmd argument.

Details

yt-dlp's --netrc-cmd option can be used to run any arbitrary shell command to retrieve site login credentials so that the user doesn't have to store the credentials as plaintext in the filesystem. The --netrc-cmd argument is a shell command with an optional placeholder ({}). If the placeholder is present in the argument, it is replaced with the netrc "machine" value, which specifies the site for which login credentials are needed.

The netrc "machine" value is usually explicitly defined in yt-dlp's extractor code for a given site. However, yt-dlp has four extractors where the netrc "machine" value needs to be dynamically sourced from the site's hostname. And in three of those extractors (GetCourseRuIE, TeachableIE and TeachableCourseIE), wildcard matches are allowed for one or more subdomains of the hostname. This can result in a netrc "machine" value that contains special shell characters.

The --netrc-cmd argument is executed by a modified version of Python's subprocess.Popen with shell=True, which means that any special characters may be interpreted by the host shell, potentially leading to arbitrary command injection.

Here is an example of maliciously crafted URL input that exploits the vulnerability:

> yt-dlp --netrc-cmd "echo {}" "https://;echo pwned>&2;#.getcourse.ru/video"
[GetCourseRu] Executing command: echo getcourseru
WARNING: [GetCourseRu] Failed to parse .netrc: bad toplevel token 'getcourseru' (-, line 2)
[GetCourseRu] Extracting URL: https://;echo pwned>&2;#.getcourse.ru/video
[GetCourseRu] Executing command: echo ;echo pwned>&2;
pwned
[GetCourseRu] No authenticators for ;echo pwned>&2;
[GetCourseRu] video: Downloading webpage

Although only 3 of yt-dlp's extractors are directly susceptible to this attack, yt-dlp's "generic" extractor will follow HTTP redirects and try to match the resulting URL with one of the dedicated extractors. This means that any URL processed by the generic extractor could ultimately lead to a maliciously crafted URL that is matched by one of the vulnerable extractors. Hypothetically, an attacker could create a website with an inconspicuous URL and legitimate-looking media content that would serve an HTTP redirect to a maliciously crafted URL when it detects a request from yt-dlp.

References

References

@Grub4K Grub4K published to yt-dlp/yt-dlp Feb 21, 2026
Published to the GitHub Advisory Database Feb 23, 2026
Reviewed Feb 23, 2026
Published by the National Vulnerability Database Feb 24, 2026
Last updated Feb 24, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(31st percentile)

Weaknesses

Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')

The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component. Learn more on MITRE.

CVE ID

CVE-2026-26331

GHSA ID

GHSA-g3gw-q23r-pgqm

Source code

Credits

Loading Checking history
See something to contribute? Suggest improvements for this vulnerability.