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vulnerability-scanner

📁 sickn33/antigravity-awesome-skills 📅 Jan 20, 2026
247
总安装量
247
周安装量
#1103
全站排名
安装命令
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill vulnerability-scanner

Agent 安装分布

claude-code 198
opencode 178
gemini-cli 173
cursor 137
codex 133

Skill 文档

Vulnerability Scanner

Think like an attacker, defend like an expert. 2025 threat landscape awareness.

🔧 Runtime Scripts

Execute for automated validation:

Script Purpose Usage
scripts/security_scan.py Validate security principles applied python scripts/security_scan.py <project_path>

📋 Reference Files

File Purpose
checklists.md OWASP Top 10, Auth, API, Data protection checklists

1. Security Expert Mindset

Core Principles

Principle Application
Assume Breach Design as if attacker already inside
Zero Trust Never trust, always verify
Defense in Depth Multiple layers, no single point
Least Privilege Minimum required access only
Fail Secure On error, deny access

Threat Modeling Questions

Before scanning, ask:

  1. What are we protecting? (Assets)
  2. Who would attack? (Threat actors)
  3. How would they attack? (Attack vectors)
  4. What’s the impact? (Business risk)

2. OWASP Top 10:2025

Risk Categories

Rank Category Think About
A01 Broken Access Control Who can access what? IDOR, SSRF
A02 Security Misconfiguration Defaults, headers, exposed services
A03 Software Supply Chain 🆕 Dependencies, CI/CD, build integrity
A04 Cryptographic Failures Weak crypto, exposed secrets
A05 Injection User input → system commands
A06 Insecure Design Flawed architecture
A07 Authentication Failures Session, credential management
A08 Integrity Failures Unsigned updates, tampered data
A09 Logging & Alerting Blind spots, no monitoring
A10 Exceptional Conditions 🆕 Error handling, fail-open states

2025 Key Changes

2021 → 2025 Shifts:
├── SSRF merged into A01 (Access Control)
├── A02 elevated (Cloud/Container configs)
├── A03 NEW: Supply Chain (major focus)
├── A10 NEW: Exceptional Conditions
└── Focus shift: Root causes > Symptoms

3. Supply Chain Security (A03)

Attack Surface

Vector Risk Question to Ask
Dependencies Malicious packages Do we audit new deps?
Lock files Integrity attacks Are they committed?
Build pipeline CI/CD compromise Who can modify?
Registry Typosquatting Verified sources?

Defense Principles

  • Verify package integrity (checksums)
  • Pin versions, audit updates
  • Use private registries for critical deps
  • Sign and verify artifacts

4. Attack Surface Mapping

What to Map

Category Elements
Entry Points APIs, forms, file uploads
Data Flows Input → Process → Output
Trust Boundaries Where auth/authz checked
Assets Secrets, PII, business data

Prioritization Matrix

Risk = Likelihood × Impact

High Impact + High Likelihood → CRITICAL
High Impact + Low Likelihood  → HIGH
Low Impact + High Likelihood  → MEDIUM
Low Impact + Low Likelihood   → LOW

5. Risk Prioritization

CVSS + Context

Factor Weight Question
CVSS Score Base severity How severe is the vuln?
EPSS Score Exploit likelihood Is it being exploited?
Asset Value Business context What’s at risk?
Exposure Attack surface Internet-facing?

Prioritization Decision Tree

Is it actively exploited (EPSS >0.5)?
├── YES → CRITICAL: Immediate action
└── NO → Check CVSS
         ├── CVSS ≥9.0 → HIGH
         ├── CVSS 7.0-8.9 → Consider asset value
         └── CVSS <7.0 → Schedule for later

6. Exceptional Conditions (A10 – New)

Fail-Open vs Fail-Closed

Scenario Fail-Open (BAD) Fail-Closed (GOOD)
Auth error Allow access Deny access
Parsing fails Accept input Reject input
Timeout Retry forever Limit + abort

What to Check

  • Exception handlers that catch-all and ignore
  • Missing error handling on security operations
  • Race conditions in auth/authz
  • Resource exhaustion scenarios

7. Scanning Methodology

Phase-Based Approach

1. RECONNAISSANCE
   └── Understand the target
       ├── Technology stack
       ├── Entry points
       └── Data flows

2. DISCOVERY
   └── Identify potential issues
       ├── Configuration review
       ├── Dependency analysis
       └── Code pattern search

3. ANALYSIS
   └── Validate and prioritize
       ├── False positive elimination
       ├── Risk scoring
       └── Attack chain mapping

4. REPORTING
   └── Actionable findings
       ├── Clear reproduction steps
       ├── Business impact
       └── Remediation guidance

8. Code Pattern Analysis

High-Risk Patterns

Pattern Risk Look For
String concat in queries Injection "SELECT * FROM " + user_input
Dynamic code execution RCE eval(), exec(), Function()
Unsafe deserialization RCE pickle.loads(), unserialize()
Path manipulation Traversal User input in file paths
Disabled security Various verify=False, --insecure

Secret Patterns

Type Indicators
API Keys api_key, apikey, high entropy
Tokens token, bearer, jwt
Credentials password, secret, key
Cloud AWS_, AZURE_, GCP_ prefixes

9. Cloud Security Considerations

Shared Responsibility

Layer You Own Provider Owns
Data ✅ ❌
Application ✅ ❌
OS/Runtime Depends Depends
Infrastructure ❌ ✅

Cloud-Specific Checks

  • IAM: Least privilege applied?
  • Storage: Public buckets?
  • Network: Security groups tightened?
  • Secrets: Using secrets manager?

10. Anti-Patterns

❌ Don’t ✅ Do
Scan without understanding Map attack surface first
Alert on every CVE Prioritize by exploitability + asset
Ignore false positives Maintain verified baseline
Fix symptoms only Address root causes
Scan once before deploy Continuous scanning
Trust third-party deps blindly Verify integrity, audit code

11. Reporting Principles

Finding Structure

Each finding should answer:

  1. What? – Clear vulnerability description
  2. Where? – Exact location (file, line, endpoint)
  3. Why? – Root cause explanation
  4. Impact? – Business consequence
  5. How to fix? – Specific remediation

Severity Classification

Severity Criteria
Critical RCE, auth bypass, mass data exposure
High Data exposure, privilege escalation
Medium Limited scope, requires conditions
Low Informational, best practice

Remember: Vulnerability scanning finds issues. Expert thinking prioritizes what matters. Always ask: “What would an attacker do with this?”

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