| 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)?
βββ YES β CRITICAL: Immediate action
βββ NO β Check CVSS
βββ CVSS β₯9.0 β HIGH
βββ CVSS 7.0-8.9 β Consider asset value
βββ CVSS <7.0 β 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
βββ Understand the target
βββ Technology stack
βββ Entry points
βββ Data flows
2. DISCOVERY
βββ Identify potential issues
βββ Configuration review
βββ Dependency analysis
βββ Code pattern search
3. ANALYSIS
βββ Validate and prioritize
βββ False positive elimination
βββ Risk scoring
βββ Attack chain mapping
4. REPORTING
βββ Actionable findings
βββ Clear reproduction steps
βββ Business impact
βββ 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 |
β
|
β |
| Application |
β
|
β |
| OS/Runtime |
Depends |
Depends |
| Infrastructure |
β |
β
|
Cloud-Specific Checks
- IAM: Least privilege applied?
- Storage: Public buckets?
- Network: Security groups tightened?
- Secrets: Using secrets manager?
10. Anti-Patterns
| β Don't |
β
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:
- What? - Clear vulnerability description
- Where? - Exact location (file, line, endpoint)
- Why? - Root cause explanation
- Impact? - Business consequence
- 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?"
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.