Information Security 6 min read

GSIL – GitHub Sensitive Information Leakage Monitoring Tool: Installation, Configuration, and Usage Guide

This article introduces GSIL, a near‑real‑time GitHub sensitive‑information‑leakage monitoring tool, and provides step‑by‑step instructions for installing the Python package, configuring email and GitHub token settings, defining scanning rules, and scheduling automated scans and reports via cron.

Architect's Tech Stack
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Architect's Tech Stack
GSIL – GitHub Sensitive Information Leakage Monitoring Tool: Installation, Configuration, and Usage Guide

GSIL (GitHub Sensitive Information Leakage) is a tool that monitors GitHub repositories for sensitive data leaks in near real‑time (within 15 minutes) and sends alert notifications.

Features: rule‑based matching using rules.gsil , email alerts, scheduled scans, and optional cloning of vulnerable repositories.

Installation (Python 3 required):

$ git clone https://github.com/FeeiCN/gsil.git
$ cd gsil/
$ pip install -r requirements.txt

Configuration:

Rename gsil/config.gsil.example to gsil/config.gsil and edit the mail and GitHub sections.

Mail settings – fill in your own QQ email address, use an authorization code (not the password) as password , and add a CC address to avoid runtime errors.

GitHub settings – generate a personal access token (e.g., with repo:public_repo scope) at GitHub token settings and place it in the tokens field.

Scanning rules ( gsil/rules.gsil ) – define patterns such as internal domain names, code signatures, or external email domains. Example JSON structure shows a top‑level company name, product line, and specific matching criteria (mode, extensions, etc.).

Usage:

$ python gsil.py test

Verify token validity:

$ python gsil.py --verify-tokens

Schedule scans with crontab (e.g., every 15 minutes) and generate hourly or nightly reports:

* /15 * * * * /usr/bin/python /var/app/gsil/gsil.py test > /tmp/gsil
0 * * * * /usr/bin/python /var/app/gsil/gsil.py test > /tmp/gsil
0 23 * * * /usr/bin/python /var/app/gsil/gsil.py --report

Reports include scan counts, success/failure statistics, discovered vulnerabilities, domain status, and anomalies. Duplicate alerts are suppressed using a cache in ~/.gsil/ .

For any questions, leave a comment; the content is sourced from the internet with proper attribution.

PythonautomationconfigurationGitHubcronSecurity MonitoringSensitive Data
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