Scan JavaScript, PHP and Python code for security vulnerabilities

AI reviews JavaScript, PHP, and Python code and reports back only the exploitable vulnerabilities it finds.

How the work actually flows

A straight line. Runs once per each code file collected.

Pattern: Sequence (1) ยท Multiple Instances with a priori Run-Time Knowledge (14)

flowchart TD trig(("target site or file submitted")):::human s0["crawl site for code files"]:::task s1[["review each file for vulnerabilities"]]:::mi s2["compile findings into summary"]:::task s3[("save vulnerability report")]:::store trig --> s0 s0 -->|"one per each code file collected"| s1 s1 --> s2 s2 --> s3 out[/"vulnerability report by file and severity"/]:::out pay{{"fast reliable scan of exploitable risks"}}:::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 personA record or sheetResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsWeb Scraping & Data CollectionSurvey & FeedbackFile & Cloud StorageDevOps & IT OperationsSecurity & Compliance
Connects
OpenAIGitHubGoogle Drive

The problem it solves

Manually reading through pages of code line by line to spot security flaws is slow and easy to get wrong. You want a fast, structured way to know what's actually exploitable so you're not wasting time chasing false alarms.

Who it fits

Bug bounty hunters and security researchers reviewing JavaScript, PHP, and Python codebases.

How it works

  1. A submitted target site or file kicks off the scan
  2. The site is crawled to collect JavaScript, PHP, and Python files
  3. AI specialists review each file for exploitable vulnerabilities only
  4. Findings are cleaned and turned into an easy-to-read summary table
  5. The vulnerability report is saved for review
What you get

Vulnerabilities you catch before an attacker does

Your JavaScript, PHP, and Python code gets scanned for exploitable vulnerabilities, with a clear report of what actually needs fixing.

What you get

A structured vulnerability report, broken out by file, severity, and issue type.

What you need

An OpenAI API key, a Google Drive account, and access to the target codebase or site.

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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