GitLab Watchman : Monitoring GitLab For Sensitive Data Shared Publicly

GitLab Watchman is an application that uses the GitLab API to audit GitLab for sensitive data and credentials exposed internally.

Features

It searches GitLab for internally shared projects and looks at:

  • Code
  • Commits
  • Wiki pages
  • Issues
  • Merge requests
  • Milestones

For the following data:

  • GCP keys and service account files
  • AWS keys
  • Azure keys and service account files
  • Google API keys
  • Slack API tokens & webhooks
  • Private keys (SSH, PGP, any other misc private key)
  • Exposed tokens (Bearer tokens, access tokens, client_secret etc.)
  • S3 config files
  • Tokens for services such as Heroku, PayPal and more
  • Passwords in plaintext
  • and more

Time Based Searching

You can run GitLab Watchman to look for results going back as far as:

  • 24 hours
  • 7 days
  • 30 days
  • All time

This means after one deep scan, you can schedule GitLab Watchman to run regularly and only return results from your chosen timeframe.

Rules

GitLab Watchman uses custom YAML rules to detect matches in GitLab.

They follow this format:

filename:
enabled: #[true|false]
meta:

-name:
-author:
-date:
-description: #what the search should find#
-severity: #rating out of 100#
scope: #what to search, any combination of the below#
-blobs
-commits
-milestones
-wiki_blobs
-issues
-merge_requests
test_cases:
match_cases:
-#test case that should match the regex#
fail_cases:
-#test case that should not match the regex#
strings:
search query to use in GitLab#
pattern: #Regex pattern to filter out false positives#

There are Python tests to ensure rules are formatted properly and that the Regex patterns work in the tests dir

More information about rules, and how you can add your own, is in the file docs/rules.md.

Logging

GitLab Watchman gives the following logging options:

  • Log file
  • Stdout
  • TCP stream

Results are output in JSON format, perfect for ingesting into a SIEM or other log analysis platform.

For file and TCP stream logging, configuration options need to be passed via .conf file or environment variable. See the file docs/logging.md for instructions on how to set it up.

If no logging option is given, GitLab Watchman defaults to Stdout logging.

Requirements

  • GitLab Versions

GitLab Watchman uses the v4 API, and works with GitLab Enterprise Edition versions:

  • 13.0 and above – Yes
  • GitLab.com – Yes
  • 12.0 – 12.10 – Maybe, untested but if using v4 of the API then it could work
  • GitLab Licence & Elasticsearch

To search the scopes:

  • blobs
  • wiki_blobs
  • commits

The GitLab instance must have Elasticsearch configured, and be running Enterprise Edition with a minimum GitLab Starter or Bronze Licence.

  • GitLab personal access token

To run GitLab Watchman, you will need a GitLab personal access token.

You can create a personal access token in the GitLab GUI via Settings -> Access Tokens -> Add a personal access token

The token needs permission for the following scopes:

api

Note: Personal access tokens act on behalf of the user who creates them, so I would suggest you create a token using a service account, otherwise the app will have access to your private repositories.

  • GitLab URL

You also need to provide the URL of your GitLab instance.

  • Providing token & URL

GitLab Watchman will first try to get the the GitLab token and URL from the environment variables GITLAB_WATCHMAN_TOKEN and GITLAB_WATCHMAN_URL, if this fails they will be taken from .conf file (see below).

.conf file

Configuration options can be passed in a file named watchman.conf which must be stored in your home directory. The file should follow the YAML format, and should look like below:

gitlab_watchman:
token: abc123
url: https://gitlab.example.com
logging:
file_logging:
path:
json_tcp:
host:
port

GitLab Watchman will look for this file at runtime, and use the configuration options from here. If you are not using the advanced logging features, leave them blank.

If you are having issues with your .conf file, run it through a YAML linter.

An example file is in docs/example.conf

Note If you use any other Watchman applications and already have a watchman.conf file, just append the conf data for GitLab Watchman to the existing file.

Installation

  • Install via pip

pip install gitlab-watchman

Or via source

Usage

GitLab Watchman will be installed as a global command, use as follows:

usage: gitlab-watchman [-h] --timeframe {d,w,m,a} --output
                   {file,stdout,stream} [--version] [--all] [--blobs]
                   [--commits] [--wiki-blobs] [--issues] [--merge-requests]
                   [--milestones] [--comments]

Monitoring GitLab for sensitive data shared publicly

optional arguments:
  -h, --help            show this help message and exit
  --version             show program's version number and exit
  --all                 Find everything
  --blobs               Search code blobs
  --commits             Search commits
  --wiki-blobs          Search wiki blobs
  --issues              Search issues
  --merge-requests      Search merge requests
  --milestones          Search milestones
  --comments            Search comments

required arguments:
  --timeframe {d,w,m,a}
                        How far back to search: d = 24 hours w = 7 days, m =
                        30 days, a = all time
  --output {file,stdout,stream}
                        Where to send results

You can run GitLab Watchman to look for everything, and output to default Stdout:

gitlab-watchman --timeframe a --all

Or arguments can be grouped together to search more granularly. This will look for commits and milestones for the last 30 days, and output the results to a TCP stream:

gitlab-watchman --timeframe m --commits --milestones --output stream

Other Watchman Apps

You may be interested in some of the other apps in the Watchman family:

R K

Recent Posts

Awesome EDR Bypass : A Comprehensive Guide For Ethical Hackers

EDR bypass technology is not just for attackers. Many malware now have EDR bypass capabilities,…

14 hours ago

Better-Sliver : The Community-Driven Fork For Advanced Security Testing

Welcome to Better-Sliver, a fork of the Sliver project. This fork is intended to be…

14 hours ago

Fuzzing Lab : Mastering Software Testing Techniques With UCLA ACM Cyber

This is the repository for the Introduction to Fuzzing Lab run by ACM Cyber at…

15 hours ago

Apache HTTP Server Vulnerability Testing Tool

This repository provides a Proof of Concept (PoC) for testing various vulnerabilities in the Apache…

15 hours ago

Wez’s Terminal : A Rust-Powered GPU-Accelerated Terminal Emulator

A GPU-accelerated cross-platform terminal emulator and multiplexer written by @wez and implemented in Rust Getting…

3 days ago

AutorizePro : Revolutionizing Authorization Testing With AI

一句话介绍工具: AutorizePro 是一款创新性的内置AI分析模块的专注于越权检测的 Burp 插件 (已有多个白帽反馈用工具嘎嘎挖到src洞, 每周末更新, 欢迎Star🌟以便持续跟踪项目最新版本功能) 工具背景 越权漏洞在黑盒测试、SRC挖掘中几乎是必测的一项,但手工逐个测试越权漏洞往往会耗费大量时间。 而自动化工具又因为接口的多样化,难以制定一个全面的检测逻辑而存在大量误报, 基于此产生了 AI辅助分析的检测工具 ➡️ AutorizePro…

3 days ago