Bug bounty triage assist
What middleBrick covers
- Risk scoring with letter grades for rapid prioritization
- Read-only scanning safe for any language or framework
- 12 categories aligned to OWASP API Top 10 (2023)
- OpenAPI spec parsing with recursive $ref resolution
- Authenticated scans with header allowlist and domain verification
- Scheduled rescans and diff detection for continuous monitoring
Bug bounty triage fundamentals
Bug bounty triage is the process of classifying incoming reports by severity, verifying reproducibility, and mapping findings to relevant attack surfaces. Teams that skip structured triage often misallocate investigation effort, chasing low impact noise while critical issues remain open.
middleBrick supports this workflow by providing an initial, machine-driven risk score and a prioritized list of findings aligned to OWASP API Top 10 (2023). The scanner runs read-only probes, submits a URL and receives a letter grade with contextual evidence within one minute.
How skipped triage harms programs
Without a consistent triage process, bug bounty programs accumulate stale reports, duplicate validation work, and introduce inconsistent severity assignments across researchers. This increases noise, delays meaningful remediation, and erodes trust between hunters and defenders.
Missing coverage in authentication, authorization, and input validation allows subtle logic flaws to persist, such as ID enumeration or privilege escalation paths that simple manual checks overlook. middleBrick maps findings to these specific control gaps so you can focus human review where risk is highest.
A practical triage workflow
Start by ingesting reports into a queue and running an automated baseline scan to establish a risk score and categorized findings. Use the output to filter out false positives, low severity noise, and out-of-scope targets before human investigation.
middleBrick CLI example for initial assessment:
middlebrick scan https://api.example.com --output json
Review the JSON output for high severity items such as broken authentication, BOLA, and data exposure. Route confirmed high risk findings to developers with remediation guidance, and mark resolved items for regression testing in future scans.
Coverage for common API risks
The scanner exercises read-only methods (GET and HEAD) plus text-only POST for LLM probes, ensuring safe execution against any language or framework. It checks authentication bypasses, JWT misconfigurations, BOLA and IDOR indicators, BFLA and privilege escalation paths, and data exposure patterns including PII and API key formats.
It also validates security headers, HTTPS redirect and HSTS setup, CORS wildcard configurations, rate-limit header presence, and SSRF indicators involving URL-accepting parameters. For LLM-focused programs, it runs 18 adversarial probes across quick, standard, and deep tiers focused on prompt extraction, jailbreak attempts, and data exfiltration scenarios.
Integration into continuous programs
For ongoing programs, enable scheduled rescans and diff detection to track score drift and newly introduced findings. Configure email alerts limited to one per hour per API and HMAC-SHA256 signed webhooks for automated ticket creation, with auto-disable after five consecutive failures.
middleBrick supports integration into CI/CD via GitHub Action gates that fail the build when the score drops below a defined threshold. The web dashboard centralizes reports, score trends, and exportable compliance PDFs aligned to PCI-DSS 4.0, SOC 2 Type II, and OWASP API Top 10 (2023). This helps you prepare audit evidence without claiming certification or compliance guarantees.