False positives are the biggest reason teams stop trusting security scanners. When developers spend time on findings that turn out not to be real, they start ignoring the real ones too.

How it works

Scanners infer vulnerabilities from responses. Timing noise, generic error pages, WAF blocks and reflected but harmless input can all look like a vulnerability. The fix is better evidence, better verification and good triage tools.

Why it matters

• Developer time wasted on non-issues.
• Real vulnerabilities lost in the noise.
• Security teams losing credibility with engineering.

Best practices

• Prefer tools that show evidence, not just a finding title.
• Verify findings by retesting the specific issue.
• Mark confirmed false positives so they do not return in future scans.
• Consolidate duplicate findings that share one root cause.

How Vooki Pro helps

• Every finding shows the request, the response and highlighted evidence, with steps to reproduce.
• ThreatLens, the on-device AI, reviews findings after each scan and demotes likely false positives for you to check.
• Timing-based checks run in an isolated phase to reduce noise from network jitter.
• False-positive and fixed states carry over to future scans, and duplicate header and cookie findings are consolidated.

Frequently asked questions

Why do DAST tools produce false positives?

They infer vulnerabilities from responses, and timing noise, generic errors or WAF blocks can look like real issues.

How do I confirm a finding is real?

Check the request and response evidence, reproduce it with the given steps, or retest it automatically.

Related: Adding DAST to your CI/CD pipeline · How to scan production safely