Is 42Crunch good for Bug bounty triage assist?
What middleBrick covers
- Rapid black-box scanning with under one minute completion time
- Risk score A–F with prioritized findings for triage
- 12 OWASP API Top 10 (2023) coverage categories
- Authenticated scans with Bearer, API key, Basic, and Cookie
- OpenAPI 3.0/3.1 and Swagger 2.0 parsing with $ref resolution
- CI/CD integration via GitHub Action and MCP Server support
Scope and approach for bug bounty triage
Bug bounty triage requires rapid orientation across a large surface area and clear severity signals. The scanner accepts a target URL and returns a risk score on an A–F scale with prioritized findings. Black-box operation means no agents, no SDK, and no code access; it supports any language, framework, or cloud. Scan completion is under one minute, using read-only methods plus text-only POST for LLM probes. This workflow aligns with initial triage needs where speed and broad coverage matter more than deep exploit validation.
Detection coverage relevant to triage
The scanner evaluates 12 categories mapped to OWASP API Top 10 (2023), providing structured findings useful for early prioritization. Key areas include authentication bypass and JWT misconfigurations such as alg=none, HS256 use, expired tokens, missing claims, and sensitive data in claims. It checks BOLA and IDOR through sequential ID enumeration and active adjacent-ID probing, and BFLA via admin endpoint probing and role/permission field leakage. Input validation checks include CORS wildcard usage (with and without credentials), dangerous HTTP methods, and debug endpoints. Data exposure detection covers PII patterns such as email, Luhn-validated card numbers, context-aware SSN, API key formats for AWS, Stripe, GitHub, and Slack, as well as error and stack-trace leakage. Encryption checks include HTTPS redirect, HSTS, cookie flags, and mixed content. SSRF coverage targets URL-accepting parameters and body fields, with internal IP detection and IP-bypass probes. Inventory management flags missing versioning, legacy path patterns, and server fingerprinting. Unsafe consumption surfaces third-party URLs and webhook/callback exposure. LLM/AI security includes 18 adversarial probes across Quick, Standard, and Deep tiers, addressing system prompt extraction, instruction override, DAN and roleplay jailbreaks, data exfiltration, cost exploitation, encoding bypass, translation-embedded injection, few-shot poisoning, markdown injection, multi-turn manipulation, indirect prompt injection, token smuggling, tool-abuse, nested instruction injection, and PII extraction. OpenAPI parsing supports versions 3.0, 3.1, and Swagger 2.0 with recursive $ref resolution, cross-referencing spec definitions against runtime findings to highlight undefined security schemes, sensitive fields, deprecated operations, and missing pagination.
Authenticated scanning and access control handling
For endpoints that require authentication, the scanner supports Bearer, API key, Basic auth, and Cookie credentials at the Starter tier and above. Domain verification is enforced through a DNS TXT record or an HTTP well-known file, ensuring only the domain owner can submit credentials. Header forwarding is limited to Authorization, X-API-Key, Cookie, and X-Custom-* headers. These controls help maintain scope clarity during bug bounty triage by reducing false positives related to authentication bypass and session handling.
Limitations relative to bug bounty workflows
The tool does not fix, patch, block, or remediate findings; it detects and reports with remediation guidance. It does not perform active SQL injection or command injection, which fall outside its read-only scope. Business logic vulnerabilities are not detected, as they require domain-specific human analysis. Blind SSRF is out of scope due to the absence of out-of-band infrastructure. The scanner does not replace a human pentester for high-stakes audits. These limitations mean it should be one component in a layered triage process rather than the sole decision point.
Reporting, monitoring, and integration options
Findings are presented in a web dashboard where scans can be managed, score trends tracked, and branded compliance PDFs downloaded. The CLI via the middlebrick npm package supports JSON or text output with a simple command such as middlebrick scan <url>. A GitHub Action is available to act as a CI/CD gate, failing the build when the score drops below a set threshold. The MCP Server enables scanning from AI coding assistants like Claude and Cursor. Continuous monitoring in Pro tier provides scheduled rescans at intervals of six hours, daily, weekly, or monthly, with diff detection for new findings, resolved findings, and score drift. Email alerts are rate-limited to one per hour per API, and HMAC-SHA256 signed webhooks can auto-disable after five consecutive failures.
FAQ
- Can this tool replace a manual triage by a security researcher?
- How are findings mapped to compliance frameworks during triage?
- What authentication methods are supported for authenticated scans?
- Can the tool integrate into existing bug bounty workflows?
- Does the scanner test for SQL injection or command injection during bug bounty triage?
No. It supports triage by providing rapid, broad findings, but it does not detect business logic issues or blind SSRF, and it does not replace a human pentester for high-stakes audits.
Mappings are provided to OWASP API Top 10 (2023), PCI-DSS 4.0, and SOC 2 Type II. For other frameworks, the tool helps you prepare for or aligns with security controls described in them, but it does not certify compliance.
Bearer tokens, API keys, Basic auth, and cookies. Domain verification is required to ensure only the domain owner can scan with credentials.
Yes. It offers a CLI, GitHub Action, MCP Server, API client, and dashboard with score trends and compliance reports to fit into current processes.
No. It does not perform active SQL injection or command injection testing, as those methods are outside its read-only design scope.