performing-cryptographic-audit-of-application
About performing-cryptographic-audit-of-application
A skill for reviewing application cryptography through automated scans of Python code and configuration files. It targets security teams and auditors checking algorithms, secrets, TLS settings, and key handling, with structured findings and remediation as goals.
Key features
- 01Detect deprecated cryptographic algorithms
- 02Flag insecure cipher modes and padding
- 03Find hardcoded keys and passwords
- 04Review TLS and KDF settings
- 05Check randomness and report findings
Use cases
- 01Audit Python applications and configurations
- 02Validate cryptographic controls in a test environment
- 03Prepare findings with severity and remediation
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ mukul975/ anthropic-cybersecurity-skills --skill performing-cryptographic-audit-of-applicationAfter installing, type/performing-cryptographic-audit-of-applicationin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
LICENSEassets/template.mdreferences/api-reference.mdstandards.mdworkflows.mdscripts/agent.pyprocess.pyDetails
From the project READMEPerforming Cryptographic Audit of Application
Overview
A cryptographic audit systematically reviews an application's use of cryptographic primitives, protocols, and key management to identify vulnerabilities such as weak algorithms, insecure modes, hardcoded keys, insufficient entropy, and protocol misconfigurations. This skill covers building an automated crypto audit tool that scans Python and configuration files for common cryptographic weaknesses.
When to Use
- When conducting security assessments that involve performing cryptographic audit of application
- When following incident response procedures for related security events
- When performing scheduled security testing or auditing activities
- When validating security controls through hands-on testing
Prerequisites
- Familiarity with cryptography concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities
Objectives
- Detect usage of deprecated algorithms (MD5, SHA-1, DES, RC4)
- Identify insecure cipher modes (ECB) and padding schemes
- Find hardcoded keys, passwords, and secrets in source code
- Verify TLS/SSL configuration strength
- Check key derivation function parameters
- Validate random number generator usage
- Produce a structured audit report with findings and remediation
Key Concepts
Cryptographic Weakness Categories
| Category | Examples | Risk Level |
|---|---|---|
| Weak Hashing | MD5, SHA-1 for integrity/signatures | High |
| Insecure Encryption | DES, 3DES, RC4, Blowfish | High |
| Bad Cipher Mode | ECB mode for any block cipher | High |
| Insufficient Key Size | RSA < 2048, AES-128 for long-term | Medium |
| Hardcoded Secrets | Keys/passwords in source code | Critical |
| Weak KDF | Low iteration PBKDF2, plain MD5 | High |
| Poor Entropy | time-based seeds, predictable IVs | High |
| Deprecated Protocols | SSLv3, TLS 1.0, TLS 1.1 | High |
Security Considerations
- Review both application code and configuration files
- Check third-party dependencies for known crypto vulnerabilities
- Verify certificates and TLS configurations on deployed servers
- Ensure secrets are loaded from environment variables or vaults
- Review key storage and rotation practices
Validation Criteria
- Scanner detects all injected test weaknesses
- MD5/SHA-1 usage for security purposes is flagged
- ECB mode usage is flagged
- Hardcoded keys/passwords are detected
- Weak KDF parameters are identified
- Report includes severity, location, and remediation
- False positive rate is below 10%