whichllm before 0.5.16 contains a code injection vulnerability in the run and snippet commands that allows a remote attacker who controls a HuggingFace repository to achieve arbitrary code execution by crafting a malicious GGUF filename containing double quotes or other special characters. The script generation function in cli.py interpolates HuggingFace-derived values, including GGUF variant filenames from the Hub API siblings rfilename field, directly into Python source code without escaping, allowing the crafted filename to break out of the generated string literal and execute injected code on the user's machine before any model download occurs.
Attack Parameters
Attack Vector
Network
Can be exploited remotely
Attack Complexity
Low
Easy to exploit
Attack Requirements
None
No additional conditions
Privileges Required
None
No privileges needed
User Interaction
Active
User action required
Impact Assessment
Confidentiality
High
Complete data leak
Integrity
High
Complete data modification
Availability
High
Complete denial of service
CVSS Vector v4.0
Weakness Type (CWE)
References 4
https://github.com/Andyyyy64/whichllm/commit/77e8dc9e8b45212c694d631d758623e17a…
disclosure@vulncheck.com
https://github.com/Andyyyy64/whichllm/pull/147
disclosure@vulncheck.com
https://github.com/Andyyyy64/whichllm/releases/tag/v0.5.16
disclosure@vulncheck.com
https://www.vulncheck.com/advisories/whichllm-code-injection-via-run-and-snippe…
disclosure@vulncheck.com