> For the complete documentation index, see [llms.txt](https://hacking-notes.jord4n.pro/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hacking-notes.jord4n.pro/privesc/python-library-hijacking.md). # Python Library Hijacking Python library hijacking notes for abusing import resolution order and writable working directories during sudo-executed Python scripts. Python library hijacking abuses Python import resolution when a privileged script imports modules from a writable location. By placing a malicious module earlier in the import path, the attacker can execute code as the privileged user. ## Methodology * Identify privileged Python scripts and imported modules. * Check `sys.path`, the working directory, and writable module directories. * Create a controlled module with the expected name and trigger the privileged script. ## Quick Checks ```bash python3 -c "import sys; print('/n'.join(sys.path))" find / -name '*.py' -writable 2>/dev/null ```


	Python hashlib Library Hijacking	Python Library Hijacking (hashlib) notes for Linux privilege escalation, with enumeration steps, exploitation examples, and reporting-focused validation.	Python Library Hijacking (hashlib) - Linux Privilege Escalation

--- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://hacking-notes.jord4n.pro/privesc/python-library-hijacking.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.

:python:

Python hashlib Library Hijacking