WhiteHat Code

Code written by AI,
find · judge · fix

Analyze a GitHub repo to catch hardcoded secrets, injection, broken authorization, and vulnerable dependencies before you ship. Frameworks are auto-detected and scanned with stack-specific rules.

Prepare with AI against AI-driven attacks.

See what no one else can.

Connect GitHub

Share code access and the agent downloads and scans your private repos too.

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Scan by Git URL

Public repos can be scanned without signing in.

Sign in to save results to your account · public repos can also be scanned without an account — we'll email you the report. Source is discarded after analysis; only findings (secrets masked) are stored.

WHY

Faster dev with AI means faster security risk

AI coding tools explode code volume — and unverified code ships as-is. From line-level patterns to design flaws, we catch the mistakes common in AI-generated code before deploy.

Hardcoded secrets

API keys · service-role · private keys exposed in code/client

Broken authorization

Row Level Security disabled · public storage exposure

Vulnerable dependencies

Packages with known CVEs used as-is

Injection / auth flaws

SQL injection · eval · auth-bypass patterns

Design / authz-boundary flaws

Endpoints with no trust boundary · excessive privileges · missing checks

Logic / privilege escalation

Business-logic holes like payment or privilege escalation (LLM deep analysis)

WHAT

Find · judge · fix

Rule-based static analysis plus stack awareness, SCA, and LLM deep analysis surface only the real risks.

Automated security review

Scan for secrets, injection, auth flaws, and TLS/crypto misuse with the rule engine. Secret values are masked before storage.

Auto stack detection

Detect Next.js, Express, Django, Flask, and more, applying stack-specific vulnerability rules.

Design / structure review

Auto-extract a REST API map plus sequence/use-case diagrams to check authorization boundaries and design flaws.

Dependency scanning (SCA)

Parse package.json, requirements.txt, go.mod and query OSV for known CVEs.

Exploitability priority

Sort by severity (critical→info) to cut noise, with LLM deep analysis for logic and authorization flaws.

GitHub integration

Share access to scan private repos too. Re-scan on every push + a PR check gate.

No source retention

Source is discarded after analysis; only the (masked) findings are stored to your account.

Free, no signup

Public repos can be scanned without an account. Just enter your email — we'll send the report when it's done.

CI/CD integration (SARIF)

Export results as SARIF 2.1.0 to view directly in the GitHub Code Scanning tab.

HOW

From connect to deploy, one flow

We investigate before a compromise, not after.

01

Connect GitHub

Share code access (installing the App = consent).

02

Agent downloads

Pulls private repo source with the installation token.

03

Automated scan

Rule engine + stack rules + SCA + LLM deep analysis.

04

Results · deep services

Review results. (Paid) expert analysis · automated/expert pentest · fix & deploy.

PRICING

Free automated scan, scale as you need

Only the local runner is code-gated — expert analysis, consulting, and deployment come with people.

FREE

Free

Automated scan

  • Rule-based static analysis
  • Stack detection + SCA
  • GitHub connect · PR check
  • Store & share results
EXPERT

₩150k$100

+ LLM deep · expert

  • Everything in automated scan
  • LLM deep analysis (map-reduce)
  • Human security-expert review
RUNNER

₩1.5M$1,000

+ automated pentest

  • Everything in EXPERT
  • Isolated-runner dynamic execution (auto pentest)
  • DAST/IAST · RLS runtime checks
FULL

Contact us

+ expert pentest · consulting

  • Everything in RUNNER
  • Manual expert pentest
  • Remediation + consulting + deploy

FREE is available the moment you sign in. Contact us for higher tiers.

We take care of code security, so you no longer have to.

INSIGHTS

Security Articles

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