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Network

NERVE integration

Export NERVE results as CSV and upload them against the NERVE source.

Scan types imported

  • Network vulnerability scans

File import

CSV

Standard NERVE CSV export, header on the first row.

What Centraleyezer expects in the file

  • Columns: ip, port, rule_rule_confirm, rule_description, rule_mitigation, rule_severity.
  • The Low/Medium/High severity drives risk scoring; assets are matched by the ip column.

How imported findings are risk-scored

Every NERVE finding is normalised into Centraleyezer’s risk model on import: the scanner’s native severity scale maps to a configurable DREAD vector (Damage, Reproducibility, Exploitability, Affected users, Discoverability), which combines with asset criticality, network exposure, exploitability intelligence and the platform’s other risk factors to produce one comparable risk score across every scanner you run. CVE, CVSS and CWE metadata are preserved on the finding for reference and reporting, and duplicate findings from repeated imports are automatically correlated instead of creating noise.

See the NERVE integration live

Book a demo and we’ll connect your NERVE data and walk through risk-based prioritisation on your own findings.

NERVE Integration — Setup & Imported Scan Types