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Performing Web Application Vulnerability Triage

  • 261 installs
  • 27.3k repo stars
  • Updated August 2, 2026
  • mukul975/anthropic-cybersecurity-skills

Prioritize and classify web app vulnerability findings from scans or reports so teams fix critical issues first and avoid alert fatigue during release hardening.

About

Guides systematic triage of web application vulnerability reports by validating findings, scoring risk, deduplicating noise, and producing prioritized remediation plans suitable for engineering and security stakeholders before ship.

  • Severity ranking
  • False-positive filtering
  • Remediation routing
  • Scanner output normalization
  • Release gate support

Performing Web Application Vulnerability Triage by the numbers

  • 261 all-time installs (skills.sh)
  • +30 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #665 of 2,203 Security skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill performing-web-application-vulnerability-triage

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Listed on Skillselion
Installs261
repo stars27.3k
Last updatedAugust 2, 2026
Repositorymukul975/anthropic-cybersecurity-skills

What it does

Prioritize and classify web app vulnerability findings from scans or reports so teams fix critical issues first and avoid alert fatigue during release hardening.

Files

SKILL.mdMarkdownGitHub ↗

Performing Web Application Vulnerability Triage

Overview

Web application vulnerability triage is the process of reviewing findings from DAST (Dynamic Application Security Testing) and SAST (Static Application Security Testing) tools to validate true positives, dismiss false positives, assign risk ratings using the OWASP Risk Rating Methodology, and prioritize remediation. Effective triage reduces alert fatigue and focuses development teams on the vulnerabilities that matter most.

When to Use

  • When conducting security assessments that involve performing web application vulnerability triage
  • 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

  • DAST scan results (OWASP ZAP, Burp Suite, Acunetix)
  • SAST scan results (Semgrep, SonarQube, Checkmarx, Snyk Code)
  • Python 3.9+ with requests, beautifulsoup4
  • Burp Suite Professional or OWASP ZAP for manual validation
  • DefectDojo or similar for finding management

OWASP Risk Rating Methodology

Risk Calculation

Risk = Likelihood x Impact

Likelihood Factors (0-9 scale)

Factor GroupFactorDescription
Threat AgentSkill LevelHow technically skilled is the attacker?
Threat AgentMotiveHow motivated is the attacker?
Threat AgentOpportunityWhat resources/access are needed?
Threat AgentSizeHow large is the potential threat agent group?
VulnerabilityEase of DiscoveryHow easy is it to find the vulnerability?
VulnerabilityEase of ExploitHow easy is it to exploit?
VulnerabilityAwarenessHow well known is the vulnerability?
VulnerabilityIntrusion DetectionHow likely is exploitation to be detected?

Impact Factors (0-9 scale)

Factor GroupFactorDescription
TechnicalConfidentialityHow much data could be disclosed?
TechnicalIntegrityHow much data could be corrupted?
TechnicalAvailabilityHow much service could be lost?
TechnicalAccountabilityCan actions be traced to attacker?
BusinessFinancial DamageRevenue loss, regulatory fines
BusinessReputation DamageBrand trust erosion
BusinessNon-complianceRegulatory violation exposure
BusinessPrivacy ViolationPII/PHI exposure volume

Risk Matrix

Low Impact (0-3)Medium Impact (3-6)High Impact (6-9)
High Likelihood (6-9)MediumHighCritical
Medium Likelihood (3-6)LowMediumHigh
Low Likelihood (0-3)NoteLowMedium

Triage Process

Step 1: Categorize by OWASP Top 10

OWASP_TOP_10_2021 = {
    "A01": "Broken Access Control",
    "A02": "Cryptographic Failures",
    "A03": "Injection",
    "A04": "Insecure Design",
    "A05": "Security Misconfiguration",
    "A06": "Vulnerable and Outdated Components",
    "A07": "Identification and Authentication Failures",
    "A08": "Software and Data Integrity Failures",
    "A09": "Security Logging and Monitoring Failures",
    "A10": "Server-Side Request Forgery",
}

CWE_TO_OWASP = {
    "CWE-79": "A03",   # XSS -> Injection
    "CWE-89": "A03",   # SQL Injection
    "CWE-78": "A03",   # OS Command Injection
    "CWE-352": "A01",  # CSRF -> Access Control
    "CWE-22": "A01",   # Path Traversal
    "CWE-200": "A02",  # Information Exposure
    "CWE-327": "A02",  # Weak Cryptography
    "CWE-287": "A07",  # Authentication Issues
    "CWE-918": "A10",  # SSRF
    "CWE-502": "A08",  # Deserialization
    "CWE-611": "A05",  # XXE -> Misconfiguration
}

Step 2: Validate True vs False Positives

def triage_finding(finding):
    """Classify finding as true_positive, false_positive, or needs_review."""
    fp_indicators = [
        "Content-Security-Policy header not set",  # Often informational
        "X-Content-Type-Options header missing",    # Low severity header
        "Cookie without SameSite attribute",        # Context dependent
    ]

    for indicator in fp_indicators:
        if indicator.lower() in finding.get("title", "").lower():
            if finding.get("severity", "").lower() in ("info", "low"):
                return "false_positive", "Common informational finding"

    # Check for confirmed exploitation evidence
    if finding.get("evidence") and finding.get("confidence", "").lower() == "certain":
        return "true_positive", "Scanner confirmed exploitation"

    # SAST findings need manual code review
    if finding.get("source") == "sast":
        if finding.get("cwe") in ["CWE-89", "CWE-78", "CWE-79"]:
            return "needs_review", "Injection finding requires manual code review"

    return "needs_review", "Requires manual validation"

Step 3: Risk Score Calculation

def calculate_risk_score(finding, app_context):
    """Calculate OWASP risk rating for a web application finding."""
    # Likelihood factors
    likelihood = {
        "skill_level": 6 if finding["cwe"] in ["CWE-89", "CWE-79"] else 4,
        "motive": 7,  # Financial gain
        "opportunity": 7 if finding.get("authenticated") == False else 4,
        "size": 9 if finding.get("internet_facing") else 4,
        "ease_of_discovery": 8 if finding.get("scanner_detected") else 5,
        "ease_of_exploit": 7 if finding.get("exploit_available") else 4,
        "awareness": 6,
        "intrusion_detection": 3 if app_context.get("waf_enabled") else 8,
    }

    # Impact factors
    impact = {
        "confidentiality": 9 if "data_exposure" in finding.get("tags", []) else 5,
        "integrity": 9 if finding["cwe"] in ["CWE-89", "CWE-78"] else 4,
        "availability": 7 if "dos" in finding.get("tags", []) else 2,
        "accountability": 3 if app_context.get("logging_enabled") else 7,
        "financial": 7 if app_context.get("processes_payments") else 3,
        "reputation": 6 if app_context.get("customer_facing") else 2,
        "compliance": 8 if app_context.get("pci_scope") else 3,
        "privacy": 9 if app_context.get("handles_pii") else 2,
    }

    likelihood_score = sum(likelihood.values()) / len(likelihood)
    impact_score = sum(impact.values()) / len(impact)
    risk_score = likelihood_score * impact_score

    if risk_score >= 42:
        risk_level = "Critical"
    elif risk_score >= 24:
        risk_level = "High"
    elif risk_score >= 12:
        risk_level = "Medium"
    elif risk_score >= 3:
        risk_level = "Low"
    else:
        risk_level = "Note"

    return {
        "likelihood_score": round(likelihood_score, 1),
        "impact_score": round(impact_score, 1),
        "risk_score": round(risk_score, 1),
        "risk_level": risk_level,
    }

Step 4: Generate Triage Report

# Process DAST/SAST results through triage pipeline
python3 scripts/process.py \
  --input zap_results.json \
  --format zap \
  --app-context app_config.json \
  --output triage_report.json

Manual Validation Techniques

SQL Injection Validation

# Test parameter with single quote
GET /search?q=test' HTTP/1.1

# Test with boolean-based payload
GET /search?q=test' AND 1=1-- HTTP/1.1
GET /search?q=test' AND 1=2-- HTTP/1.1

# Time-based verification
GET /search?q=test'; WAITFOR DELAY '0:0:5'-- HTTP/1.1

XSS Validation

# Reflected XSS test
GET /search?q=<script>alert(document.domain)</script> HTTP/1.1

# Check if output is encoded
GET /search?q="><img src=x onerror=alert(1)> HTTP/1.1

# DOM-based XSS
GET /page#<img src=x onerror=alert(1)> HTTP/1.1

References

Related skills

Securityappsecaudit

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