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How to avoid false positives and false negatives in Day vulnerability response?

Created on 2025-07-17 17:44:40
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To avoid false positives and false negatives in daily vulnerability response, follow these steps:

  1. Accurate Vulnerability Scanning: Use reliable scanning tools with up-to-date vulnerability databases. Regularly update the tools to ensure they detect the latest threats.

    • Example: Schedule daily scans using a tool like Tencent Cloud's Host Security (CWP), which provides real-time vulnerability detection and signature updates.

  2. Validation of Findings: Manually verify flagged vulnerabilities to confirm their existence and severity. Automated tools may misreport issues due to misconfigurations or noise.

    • Example: If a scan flags a SQL injection risk, test the endpoint with controlled inputs to confirm exploitability.

  3. Contextual Analysis: Assess vulnerabilities based on the environment. A low-severity issue in a non-critical system may not require immediate action.

    • Example: A misconfigured permission on a test server may be a false positive if the server is isolated from production.

  4. False Negative Mitigation: Ensure comprehensive coverage by combining multiple detection methods (e.g., network scans, host-based agents, and log analysis).

    • Example: Use Tencent Cloud's Web Application Firewall (WAF) alongside vulnerability scanners to catch runtime attacks that static scans might miss.

  5. Continuous Monitoring: Implement 24/7 monitoring to detect emerging threats and validate past findings.

    • Example: Deploy Tencent Cloud's Security Center for real-time alerts and automated response to suspicious activities.

  6. Feedback Loop: Refine detection rules based on past false positives/negatives to improve accuracy over time.

    • Example: If a specific tool repeatedly flags a non-issue, adjust its rules or exclude the asset from certain scans.

For vulnerability management, Tencent Cloud's CWP and Security Center provide integrated tools to reduce false positives/negatives through advanced detection and validation.