fraud-bypass
CommunitySystematically test and identify payment fraud detection loopholes.
Authorreececoakes99
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps security professionals uncover vulnerabilities in payment fraud detection systems by systematically bypassing various layered defenses.
Core Features & Use Cases
- Fraud Engine Testing: Identify which fraud detection system is active and evaluate its response.
- Velocity Check Bypass: Simulate transaction patterns to exploit velocity thresholds.
- Geolocation Bypass: Test limitations of geolocation and IP-based checks.
- Device Fingerprint Spoofing: Mimic genuine device fingerprints to evade device recognition.
- ML Model Evasion: alter behavioral signals to deceive machine-learning-based scoring. Use this Skill in testing payment gateways and improving fraud detection resilience by identifying weak spots without actual fraud.
Quick Start
Enter commands to simulate various bypass techniques such as changing IP addresses, spoofing device fingerprints, and manipulating geolocation data to evaluate system defenses.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: fraud-bypass Download link: https://github.com/reececoakes99/openclaw-brain-v2/archive/main.zip#fraud-bypass Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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