For Hashnode Writers
Your code is your reputation. Scan it before it carries your name.
We scan, then we forget. You keep what you want.
On Hashnode you are not just publishing posts — you are building a personal brand on your own domain, and every code block readers see becomes a signal of how good an engineer you are. One insecure snippet under your byline can undercut the credibility you spent years earning. AllScanTool scans the code in your posts for SQL injection, XSS, hardcoded credentials, and insecure functions, right in your browser, before it goes live under your name. No logs. No storage. No retention. Your code stays private.
Every post is a portfolio piece
On a personal blog, your code is read as proof of your skill. These are the risks AllScanTool catches before a snippet shapes how readers judge your work.
A flawed snippet reads as a flaw in your skill
Readers judge your engineering by the code you show, and an injectable query in a post quietly tells them you missed it.
AI-tool experiments published as your own work
Posts about your Copilot or ChatGPT workflow put generated code under your name, and its hidden flaws become your reputation problem.
Project showcases that double as a hiring portfolio
Recruiters and clients read your build write-ups, so a credential leak or XSS hole in the showcase code costs you real opportunities.
Demo keys and tokens left inside published code blocks
A realistic example needs a key to look complete, and the placeholder secret ships in the post for every reader to copy.
Your back catalog keeps representing you
Posts on your domain rank for years, and an outdated insecure pattern in an old article keeps speaking for your current skill.
It is your brand, with no editor behind you
There is no review team on a personal blog — when a snippet causes a problem, the byline and the consequences are entirely yours.
Ask AST
Questions writers bring to the Delivery-Layer Engine before they publish to their Hashnode blog.
QThis database example is going in a post on my own domain — does the query have any SQL injection risk before it represents my work?
Paste it into the scanner. AST flags queries built from concatenated input and shows the parameterized version, so the code under your byline reflects the engineer you want readers to see.
QMy post documents an AI-assisted workflow — should I check the generated code before I publish it as my own?
Scan the generated snippet first. AST surfaces injection, XSS, and insecure functions, so AI output never reaches your readers carrying a flaw attached to your name.
QI am featuring a project as a portfolio piece — how do I make sure there are no hardcoded credentials in the code I showcase?
Run the files through AST and it detects hardcoded keys and stray secrets, so the showcase that recruiters and clients read stays clean.
QAn older article on my blog still ranks well — does its code use any patterns that now look insecure to a sharp reader?
Scan the snippet and AST flags deprecated and insecure functions, so you can refresh a high-traffic post before it dates your reputation.