BugCrowd

Bugcrowd Integration with DefectDojo

Bugcrowd is one of the leading crowdsourced security platforms — connecting organizations with a global community of security researchers to find vulnerabilities through bug bounty programs and vulnerability disclosure programs (VDPs). The findings that come out of a Bugcrowd program are categorically different from automated scanner output: they represent real attack paths that skilled security researchers found by actively probing your application, often discovering logic flaws, chained vulnerabilities, and business impact scenarios that no scanner will ever surface. The operational challenge is that Bugcrowd findings live in Bugcrowd's platform while the rest of your vulnerability management program lives somewhere else. Integrating Bugcrowd with DefectDojo brings external researcher findings into the same lifecycle management workflow as your internal SAST, DAST, and SCA results — giving security teams one place to track, assign, SLA-enforce, and report on the full spectrum of vulnerability findings, regardless of source.

Why Bugcrowd Matters

Bugcrowd's value in a security program comes from the nature of crowdsourced security research — it supplements automated tooling with human creativity, adversarial thinking, and exploitation expertise that scales differently than internal testing.

• Bugcrowd researchers find the vulnerabilities that automated tools miss: authentication bypasses, business logic flaws, multi-step attack chains, IDOR vulnerabilities at scale, race conditions, and application-specific weaknesses that require understanding context, not just pattern matching
• The triage layer Bugcrowd provides — validating and deduplicating researcher submissions before they reach the customer — means findings that arrive through the integration are already confirmed exploitable vulnerabilities, not raw scanner output that needs qualification
• Bugcrowd's Priority 1 through Priority 5 (P1–P5) severity taxonomy maps cleanly to DefectDojo's severity levels, making import and SLA mapping straightforward
• Bug bounty programs create a continuous, scalable source of external security validation — researchers are testing your applications around the clock, and integrating their findings into DefectDojo gives you persistent tracking of researcher-found vulnerabilities alongside the internal testing pipeline
• Bugcrowd's API allows programmatic export of validated findings in JSON format, enabling automated pipeline import into DefectDojo without manual report download and upload
• VDP programs in particular benefit from DefectDojo integration — many organizations running VDPs need to demonstrate to regulators and auditors that disclosed vulnerabilities are tracked, assigned, and remediated within defined timelines, which DefectDojo's SLA enforcement and engagement history provide

Advantages of This Integration

Bugcrowd validates and triages external researcher findings. DefectDojo gives them the same lifecycle management discipline as every other finding in your security program.

• Unified vulnerability management across internal and external sources: Bugcrowd findings from external researchers sit in the same DefectDojo workflow as Semgrep SAST results, Snyk SCA findings, and DAST output. Security teams get a single prioritized queue of all open vulnerabilities — internal and external — without switching between platforms to understand full exposure.
• SLA enforcement for researcher-found vulnerabilities: External researcher findings often carry implicit or explicit remediation commitments — bug bounty programs set expectations with researchers, and VDPs frequently have regulatory or policy-mandated remediation timelines. DefectDojo's SLA tracking applies the same deadline enforcement to Bugcrowd findings as to internally found issues, with breach tracking and alerting surfacing overdue items before they become program liabilities.
• Persistent tracking beyond Bugcrowd's platform: Bugcrowd's platform retains finding history, but engineering teams working the remediation don't typically have access to Bugcrowd's console. DefectDojo's import workflow brings findings into the platform where remediation is tracked, assigned to engineering owners, and pushed to Jira or GitHub Issues — giving the engineering team visibility into researcher-found vulnerabilities without requiring Bugcrowd access.
• Deduplication against internally found vulnerabilities: A vulnerability found by a Bugcrowd researcher may have also been flagged by an internal DAST scan or a recent pen test. DefectDojo's deduplication logic can surface these overlaps — preventing the same vulnerability from being worked as two independent findings by two separate teams with no coordination.
• Cross-program remediation reporting: Organizations running multiple Bugcrowd programs — separate bug bounty programs for different products — get an aggregated view of external researcher findings across their entire portfolio in DefectDojo. Security leadership sees the full picture of crowdsourced vulnerability findings by product, severity, and SLA status in one place.
• Compliance and audit evidence for VDP programs: Regulators and frameworks including CISA's BOD 20-01, NIST SP 800-53, and ISO 27001 increasingly reference vulnerability disclosure programs as a security control. DefectDojo's engagement history showing Bugcrowd findings, their triage status, remediation assignments, and closure records provides structured audit evidence that the VDP is operationally effective — not just standing up as a policy artifact.
• Risk acceptance with documented rationale for disputed findings: Not every Bugcrowd finding results in immediate remediation — some are accepted as low risk in context, some are architectural decisions, and some are findings where the business impact is accepted given compensating controls. DefectDojo's risk acceptance workflow captures these decisions with justification, approver, and expiration date — auditable when researchers or regulators follow up on finding disposition.

How This Integration Works

Bugcrowd findings are exported via the Bugcrowd API or manually downloaded as CSV, then imported into DefectDojo using the Bugcrowd parser.

Step 1 — Export findings from Bugcrowd

Using the Bugcrowd API to export submissions programmatically:

# Export all accepted/triaged submissions for a program

curl -s -X GET \

"https://api.bugcrowd.com/organizations/<org-slug>/programs/<program-slug>/submissions" \

-H "Accept: application/vnd.bugcrowd.v4+json" \

-H "Authorization: Token <bugcrowd-api-token>" \

> bugcrowd-submissions.json

# Filter to specific states (accepted, unresolved)

curl -s -X GET \

"https://api.bugcrowd.com/organizations/<org-slug>/programs/<program-slug>/submissions?filter[state]=accepted&filter[resolvable_state]=unresolved" \

-H "Accept: application/vnd.bugcrowd.v4+json" \

-H "Authorization: Token <bugcrowd-api-token>" \

> bugcrowd-open.json

# Filter by priority (P1 and P2 only)

curl -s -X GET \

"https://api.bugcrowd.com/organizations/<org-slug>/programs/<program-slug>/submissions?filter[priority][]=p1&filter[priority][]=p2" \

-H "Accept: application/vnd.bugcrowd.v4+json" \

-H "Authorization: Token <bugcrowd-api-token>" \

> bugcrowd-critical-high.json

Alternatively, export submissions as CSV from the Bugcrowd platform UI:

• Navigate to your program's Submissions tab
• Apply desired filters (state, priority, date range)
• Select Export → CSV
• Save the exported file for import into DefectDojo

Step 2 — Import into DefectDojo

Use Bugcrowd API Import as the scan type for JSON API export, or Bugcrowd Scan for CSV exports:

# For JSON API export

curl -X POST https://<defectdojo-host>/api/v2/import-scan/ \

-H "Authorization: Token <your-api-token>" \

-F "scan_type=Bugcrowd API Import" \

-F "file=@bugcrowd-submissions.json" \

-F "engagement=<engagement-id>" \

-F "product=<product-id>" \

-F "active=true" \

-F "verified=true"

# For CSV export

curl -X POST https://<defectdojo-host>/api/v2/import-scan/ \

-H "Authorization: Token <your-api-token>" \

-F "scan_type=Bugcrowd Scan" \

-F "file=@bugcrowd-export.csv" \

-F "engagement=<engagement-id>" \

-F "product=<product-id>" \

-F "active=true" \

-F "verified=true"

Note: Bugcrowd findings import as verified=true because Bugcrowd's triage process validates findings before they surface to the customer — these are confirmed vulnerabilities, not unvalidated scanner output.

Step 3 — Reimport for ongoing program updates

For active bug bounty programs with continuous researcher submissions, use the reimport endpoint to update existing findings on a regular cadence:

curl -X POST https://<defectdojo-host>/api/v2/reimport-scan/ \

-H "Authorization: Token <your-api-token>" \

-F "scan_type=Bugcrowd API Import" \

-F "file=@bugcrowd-submissions.json" \

-F "test=<test-id>"

DefectDojo creates records for new findings and marks previously imported findings that no longer appear as active as resolved.

Data Granularity: What Gets Imported

Use Cases

For an active bug bounty program with continuous researcher submissions: A technology company running a continuous Bugcrowd bug bounty program across its web and mobile applications exports accepted submissions weekly via the Bugcrowd API and reimports into DefectDojo. Engineering owners are assigned each finding in DefectDojo — front-end vulnerabilities go to the web team, API findings go to backend engineering, mobile findings go to the mobile team. SLA targets aligned to the program's remediation commitments track whether findings are being closed within the timeframes the company communicates to researchers. Breach alerts in DefectDojo surface overdue items before they become researcher-facing program credibility issues.

For a regulated VDP with remediation timeline commitments: A financial services organization operates a Bugcrowd VDP as part of its regulatory compliance posture. All validated disclosures import into DefectDojo, where they are tracked with the same SLA discipline as internally found vulnerabilities. When an examiner asks for evidence that the VDP is operationally effective, DefectDojo's engagement history and finding lifecycle records — showing submission dates, triage dates, assignment, and closure — provide the structured audit evidence the examiner needs without manual report compilation from Bugcrowd's console.

During an application consolidation or M&A integration: When an organization acquires a company and inherits its Bugcrowd bug bounty program history, exporting all historical accepted findings and importing them into DefectDojo gives the security team immediate visibility into known vulnerabilities in the acquired application estate. Open findings are triaged and assigned to the integration team; resolved findings establish a historical record of security debt that was addressed before the acquisition closed. The DefectDojo record becomes part of the due diligence documentation.

Alongside internal security testing for a product launch: A product team preparing for public launch runs internal SAST (Semgrep), DAST (OWASP ZAP), and a pre-launch Bugcrowd managed bug bounty. All three sources import into a single DefectDojo engagement for the launch readiness review. The security team triages findings from all sources in one place — with internally found issues and researcher-found issues managed in the same workflow — and produces a unified pre-launch security posture report rather than three separate tool-specific reports.

Operational Tips

• Import Bugcrowd findings as verified=true: Unlike scanner output that requires validation, Bugcrowd findings have already passed Bugcrowd's triage process. Setting verified=true on import correctly reflects that these are confirmed vulnerabilities — it skips the unvalidated review queue in DefectDojo and puts findings directly into the remediation workflow.
• Map Bugcrowd programs to DefectDojo products one-to-one: If you run separate Bugcrowd programs for different products (web application, mobile app, API), map each to a separate DefectDojo product. This keeps remediation assignment clean, SLA policies aligned to the right application tier, and reporting accurate at the product level.
• Handle researcher identity data with care: Bugcrowd findings include researcher usernames and potentially other researcher-identifying metadata. Confirm your organization's data handling policies for researcher identity before configuring what fields are imported and stored in DefectDojo — especially in organizations subject to GDPR or other privacy regulations where researcher data may constitute personal information.
• Use verified=true and active=true together for accepted findings: Findings in accepted and triaged Bugcrowd states should import as active and verified. Findings in resolved or not_applicable states should import as inactive — most teams filter these out at export time using API state filters rather than importing and deactivating in bulk.
• Coordinate remediation status between Bugcrowd and DefectDojo: When a finding is resolved in DefectDojo after engineering verification, update the corresponding Bugcrowd submission status to resolved. Keeping both platforms in sync prevents situations where a researcher follows up in Bugcrowd on a finding that's been closed in DefectDojo — and it ensures that researcher reputation and reward workflows in Bugcrowd reflect the actual remediation status.
• Create a dedicated engagement per program and per quarter: A naming convention like Bugcrowd - Bug Bounty - <Product> - Q2 2025 keeps historical program records organized and makes it straightforward to produce quarterly security review reports that cover researcher-found vulnerability trends without ambiguity about which findings belong to which time period.
• Set SLA targets that align with your researcher-facing remediation commitments: Bug bounty programs typically communicate remediation timelines to researchers (e.g., P1 issues resolved within 30 days). Configure DefectDojo's SLA policies to match these published commitments exactly — breach alerts then fire before the researcher-facing deadline passes, giving the security team time to either remediate or communicate an extension proactively.
• Use DefectDojo's risk acceptance for findings accepted as low risk in context: When a Bugcrowd P3 or P4 finding is accepted rather than remediated — because the business context renders the risk acceptable given compensating controls — document this in DefectDojo's risk acceptance workflow with justification and expiration date, and update the Bugcrowd submission status accordingly. The documented decision serves both the internal audit trail and the researcher expectation that their submission received a substantive review.