Code

Understands your code the way a Security Engineer would. It traces business logic, mapping cross-service data flows, and surfacing real vulnerabilities it can fix autonomously.

Code vulnerability screenshot
Detect what pattern-matching misses
  1. IDOR finding showing a user ID parameter flowing through an API endpoint to a database query with no authorization check, alongside the full evidence trail.

    depthfirst catches broken authorization, privilege escalation, IDOR, and subscription tier bypasses by reasoning about what your code is supposed to do

  2. Cross-service finding where user input accepted by a Ruby API reaches an unsafe S3 write operation in a separate infrastructure service, with the full data flow traced.

    depthfirst maps data flows across service boundaries, exposing attack paths that only exist between components—where an input in one service reaches a vulnerable sink in another.

  3. Chained finding showing three individually low-severity issues that together create a privilege escalation path, with the chain visualized step by step.

    depthfirst connects individual low-severity findings into exploitable paths by mapping how weak points chain together through your application’s data flows and control logic.

IDOR finding showing a user ID parameter flowing through an API endpoint to a database query with no authorization check, alongside the full evidence trail.
How depthfirst secures your code

Find vulnerabilities hidden in your systems logic

Surface broken authorization, privilege escalation, and logic flaws by analyzing data flow, service interactions, and runtime behavior across your codebase.

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Prove which vulnerabilities attackers can exploit

Eliminate false positives with full evidence trails and exploitation conditions. When conditions are met, depthfirst runs a dynamic test against your application to confirm the exploit.

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Generate fixes that match your codebase

Ship fixes faster with pull request comments that match your conventions. Developers review and merge without context-switching or manual remediation.

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Designed for flexibility
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Deep scans

Analyze your entire codebase to surface the full landscape of vulnerabilities.

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PR scans

Run on every pull request in 2–5 minutes, catching new vulnerabilities before merge.

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Source control native

Findings surface as PR comments with one-click access to full context and generated fixes.

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Developer feedback

Developers give feedback directly in GitHub to train the system and improve scanning accuracy.