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tech 23 July 2026

I Inspected My Take-Home Interview Project: A Complex Operation

In a market where enticing offers sometimes conceal traps, a thorough investigation of a take-home interview project unveiled a complex operation. Let's dive into this experience to uncover clues and lessons to be learned.

Article inspired by the original source
I Inspected My Take-Home Interview Project. It Was a Whole Operation ↗ citizendot.github.io

An Offer Too Good to Be True?

When a recruiter reaches out directly on LinkedIn with an irresistible offer, it's easy to be swayed. However, some traps lie behind promises of high pay and flexibility.

The first red flag was the proposed salary—between $10,000 and $15,000 per month for a remote position. For a Python developer in India, this amount is substantial. That said, Silicon Valley companies, like those backed by Y Combinator, can sometimes offer such salaries. But was this proposition truly honest?

The Investigation Begins

After receiving the job description and agreeing to the next step, I was sent a take-home interview project. It was a standard FastAPI backend, with no apparent signs of malware in the requirements.txt files. However, a reflex from participating in CTFs urged me to explore deeper.

By running the tree -a command, I discovered hidden directories and files, notably in the .git/hooks folder. These scripts, often used to automate Git tasks, can be repurposed for malicious activities.

The Dangers of Malicious Git Hooks

Git hooks are scripts executed at specific times, such as before or after a commit. In this project, some hooks seemed suspicious. For example, a pre-commit or post-merge script could potentially execute unwanted code, accessing sensitive data or even compromising the system.

How to Protect Yourself?

  1. Check Hidden Files: Always inspect hidden files and directories in any received project.
  2. Analyze Scripts: Examine the contents of scripts in the .git/hooks folder.
  3. Run in an Isolated Environment: Use a virtual environment or a virtual machine to test the project.
  4. Continuous Learning: Participate in CTFs or cybersecurity training to enhance scam detection skills.

Conclusion

In a world where offers can sometimes be too good to be true, it is crucial to stay vigilant and know where to look for possible scam clues. This exercise not only strengthened my technical skills but also underscored the importance of caution.

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