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Fred Raynal’s 20+ years of pentesting experience reveals three critical mistakes that render penetration tests ineffective despite compliance checks:
- Testing Too Late – Pentests done just before production miss the chance to influence architecture and technical decisions.
- Ignoring Business Logic – Automated tools miss flaws like role escalation in HR apps or purchase limit bypasses.
- Not Challenging Results – Reports shelved without debriefs waste 90% of a pentest’s value.
You Should Know: Practical Pentesting Commands and Techniques
1. Testing Early (Shift-Left Security)
- SAST/DAST Integration:
Run Semgrep (SAST) in CI/CD pipeline docker run -v /path/to/code:/src returntocorp/semgrep --config=auto OWASP ZAP (DAST) baseline scan zap-baseline.py -t https://target.com -r report.html
- Infrastructure-as-Code (IaC) Scanning:
Check Terraform for misconfigurations tfsec /path/to/terraform
2. Business Logic Testing
- Burp Suite Workflows:
Proxy traffic through Burp for manual testing java -jar burpsuite_pro.jar --project-file=project.burp
- Custom Python Scripts to Test Logic Flaws:
import requests for i in range(100): requests.post("https://target.com/transfer", data={"amount": i, "account": "attacker"})
3. Automating Follow-Ups
- Report Parsing with
jq:Extract high-risk findings from Nessus XML jq '.report.items[] | select(.risk_factor == "High")' nessus_report.json
- Slack Alerts for Unresolved Issues:
curl -X POST -H 'Content-type: application/json' --data '{"text":"Critical vuln 1234 still open!"}' $SLACK_WEBHOOK
Bonus: Post-Exploitation Checks
- Linux Privilege Escalation:
linpeas.sh Automated enumeration sudo -l Check sudo permissions
- Windows Lateral Movement:
Invoke-Mimikatz -Command '"sekurlsa::logonpasswords"' Get-NetSession -ComputerName TARGET
What Undercode Say
Pentests must evolve beyond compliance theater. Use early testing, business logic audits, and automated follow-ups to turn reports into action. The real metric isn’t a “Label Rouge” stamp but a reduced attack surface.
Prediction
By 2026, regulatory pressure will force enterprises to adopt continuous pentesting integrated into DevOps, with AI-driven tools (like Quarkslab’s) automating 60% of business logic tests.
Expected Output:
- SAST/DAST scans in CI/CD
- Custom business logic test scripts
- Automated report-to-remediation pipelines
- Post-exploitation checks for privilege escalation
IT/Security Reporter URL:
Reported By: Fredraynal Les – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅


