gitlab-harvester 0.2.12

Build a GitLab instance project index and search repositories for sensitive keywords (API-only, no cloning).

GitlabHarvester — Global GitLab Code & Secret Search Tool (Python)

GitlabHarvester is a fast, scalable tool for searching keywords across an entire GitLab instance using the API — without cloning repositories. Built for security audits, secret discovery, compliance checks, and large-scale code intelligence across thousands of projects.

Global term search across a full GitLab instance — especially valuable for GitLab CE environments.

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⚡ Quick Start

Search a keyword:

gitlab-harvester -u https://gitlab.example.com -t $TOKEN --search password

Search from file:

gitlab-harvester -u https://gitlab.example.com -t $TOKEN --terms-file words.txt

Build project index only:

gitlab-harvester -u https://gitlab.example.com -t $TOKEN -m dump-index

Deduplicate results:

gitlab-harvester -m dedup --input-file session.jsonl --output-file clean.jsonl

Convert JSONL → JSON:

gitlab-harvester -m convert --input-file session.jsonl --output-file result.json

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🚀 Overview

GitLab Community Edition does not provide full instance-wide code search like EE. GitlabHarvester fills this gap by:

• building a lightweight instance project index
• scanning repositories via API
• streaming results in JSONL
• supporting resumable sessions
• keeping memory usage constant

Designed to operate efficiently on environments with 10k–100k repositories.

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🔍 Key Advantages

Problem	Solution
No global search	Instance-wide scan
Cloning thousands repos	API-only scanning
Large instances	Streaming architecture
Repeated audits	Cached project index

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✨ Features

• Instance-wide keyword search
• No repository cloning
• JSONL project index
• Branch scanning strategies
• Smart fork analysis
• Resume interrupted scans
• Streaming output
• Low memory footprint
• Automation-friendly
• Built-in post-processing tools

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📦 Installation

Recommended — install from PyPI

pipx install gitlab-harvester

Run:

gitlab-harvester --help

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Alternative — pip

pip install gitlab-harvester

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Development install

git clone https://github.com/Cur1iosity/GitlabHarvester.git
cd GitlabHarvester
pip install .

Editable mode:

pip install -e .

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Install latest dev version

pipx install git+https://github.com/Cur1iosity/GitlabHarvester.git

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Requirements

• Python 3.10+
• GitLab token with read_api permission

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🌿 Branch Control

Two independent controls:

• --index-branches — stored branches
• --scan-branches — scanned branches

Example:

gitlab-harvester -u ... -t ... --scan-branches 10

Store all + scan all:

gitlab-harvester -u ... -t ... --index-branches all --scan-branches all

Shortcut:

--branches N

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🍴 Fork Strategies

--forks skip|include|branch-diff|all-branches

Recommended → branch-diff

Mode	Behavior
skip	ignore forks
include	treat as normal repos
branch-diff	scan default + unique branches
all-branches	full exhaustive scan

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💾 Sessions & Resume

Create session:

gitlab-harvester -u ... -t ... --terms-file words.txt --session audit

Resume:

gitlab-harvester -u ... -t ... --session-file audit.jsonl --resume

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📊 Output

Two file types:

File	Purpose
Project index	cached project metadata
Session file	hits + checkpoints

Format → JSONL (streaming-friendly)

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🧰 Post-Processing Modes

GitlabHarvester includes built-in post-processing utilities.

Deduplicate results

gitlab-harvester -m dedup \
  --input-file session.jsonl \
  --output-file clean.jsonl

Options:

• --sqlite-path file.sqlite
• --hash-algo blake2b|sha1|sha256
• --no-normalize-hits

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Convert JSONL → JSON

gitlab-harvester -m convert \
  --input-file session.jsonl \
  --output-file result.json

Pretty print:

jq . result.json > formatted.json

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🏗 Architecture

GitLab API
   ↓
Indexer
   ↓
Branch planner
   ↓
Matcher
   ↓
JSONL stream

Constant memory usage regardless of instance size.

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🎯 Typical Use Cases

• secret discovery
• credential leaks detection
• internal audits
• redteam/pentest reconnaissance
• DevSecOps validation
• large-scale code search

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🔐 Security Notice

Use only on GitLab instances where you are authorized to perform scanning.

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🤝 Contributing

Pull requests and ideas welcome.

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📜 License

MIT