Case Study - Automated Vulnerability Scanning (From Noise to Signal)

8,400 scanner rows → 132 real findings. Developers finally stopped ignoring the report.

ILLUSTRATION — SCAN PIPELINE
🔍
SCAN
→
🧹
DEDUPE
→
✔
PRIORITIZE

Authenticated + unauthenticated scans · misconfig · exposed services · weakness correlation

Client Context

Retail & logistics enterprise — 2,000+ IPs, 300+ web apps, weekly releases. Annual pentest + ad-hoc Nessus scans produced CSVs no one actioned. PCI DSS 4.0 Req 11.3 audit looming.

Challenge

Volume without validation. Same vulnerabilities reappeared every quarter. IT needed automated scanning that finds vulnerabilities, misconfigurations, exposed services, and weaknesses — then routes only actionable items to owners.

Scope - Snipeyes Automated Vulnerability Scanning

  • Scheduled + on-change scans (new asset, new deploy, weekly baseline) across network, host, web, cloud
  • Authenticated scans for patch-level truth; unauthenticated for attacker view
  • Smart dedupe, false-positive suppression rules tuned by Snipeyes analysts, owner auto-routing
  • Output: vulnerability findings with severity, evidence, affected assets, first-seen/last-seen

Key Findings (redacted)

  • 8,400 raw → 132 unique actionable after dedupe + reachability filter
  • CRITICAL cluster: 9 internet-facing hosts with RCE-class CVEs (Exchange, Fortinet, CMS) — 4 already with public exploit
  • Exposed services: Telnet, SMBv1, Redis without auth on 23 internal hosts; 2 leaked to vendor VPN segment
  • Recurring root cause: golden image 14 months behind on patches

Outcome

  • Critical internet-facing vulns closed in 72h; recurring rate dropped 64% after golden-image fix
  • PCI DSS 4.0 internal/external scan evidence accepted first time, QSA zero follow-up
  • Now runs weekly automatically; delta report lands in Security Dashboard every Monday 07:00

Relevance for you: If scan reports are ignored because they are too noisy — automation plus triage is the fix.