Scan a website's JavaScript for exposed API keys and personal data

Checks a website's public scripts for leaked API keys, emails, and other sensitive data, then emails you a report.

How the work actually flows

A straight line. Runs once per each javascript file on the site.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("user submits website URL")):::human s0["pull all JavaScript files from site"]:::task s1[["scan each file for sensitive data"]]:::mi s2["generate findings report"]:::task s3["email report to user"]:::task trig --> s0 s0 -->|"one per each JavaScript file on the site"| s1 s1 --> s2 s2 --> s3 out[/"report of exposed data emailed"/]:::out pay{{"catches leaked credentials before attackers do"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepRuns once per itemA personResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsEmail AutomationSurvey & Feedback
Connects
GmailOpenAI

The problem it solves

Developers sometimes leave sensitive credentials or personal data inside public-facing scripts without realizing it. Manually checking every script on a site for accidental leaks is tedious and easy to miss.

Who it fits

Developers or security teams checking their own website's code for accidental data leaks.

How it works

  1. You submit a website URL to check
  2. System pulls all JavaScript files linked to that site
  3. AI reviews the code for API keys, email addresses, and other sensitive data
  4. A report is generated listing what it found
  5. Report is emailed to you
What you get

Leaked keys you find before anyone else does

You get a report flagging any API keys, emails, or sensitive data exposed in your website's public code.

What you get

An email report listing any sensitive information found exposed in the site's JavaScript.

What you need

A Gmail account and an OpenAI API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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