Vulnerability csv reporting
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Generate structured CSV security audit reports from vulnerability data with proper filtering and formatting.
SKILL.md
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Vulnerability CSV Reporting
Creating a clear and structured CSV report is essential for communicating security audit findings.
CSV Schema
For a standard security audit, the following columns are often used:
Package,Version,CVE_ID,Severity,CVSS_Score,Fixed_Version,Title,Url
Python Example for CSV Generation
Using the csv module in Python ensures proper escaping of fields that might contain commas or quotes (like titles and descriptions).
import csv
import json
def generate_report(vulnerabilities, output_file):
headers = ['Package', 'Version', 'CVE_ID', 'Severity', 'CVSS_Score', 'Fixed_Version', 'Title', 'Url']
with open(output_file, 'w', newline='') as f:
writer = csv.DictWriter(f, fieldnames=headers)
writer.writeheader()
for vuln in vulnerabilities:
# Filter for High/Critical if not already done
if vuln['Severity'] not in ['HIGH', 'CRITICAL']:
continue
writer.writerow({
'Package': vuln.get('PkgName'),
'Version': vuln.get('InstalledVersion'),
'CVE_ID': vuln.get('VulnerabilityID'),
'Severity': vuln.get('Severity'),
'CVSS_Score': extract_cvss(vuln.get('CVSS')), # Using logic from CVSS skill
'Fixed_Version': vuln.get('FixedVersion') or 'N/A',
'Title': vuln.get('Title') or vuln.get('Description', '')[:100],
'Url': vuln.get('PrimaryURL')
})
Best Practices
- Escaping: Always use a CSV library instead of manual string concatenation to handle special characters.
- Filtering: Apply severity filters early to reduce noise in the report.
- Completeness: Ensure 'N/A' is used for missing optional fields like
FixedVersion.