Preparing your workspace
Connecting MemonaIQ servicesPreparing your workspace
Connecting MemonaIQ servicesInspect generated or copied code for security vulnerabilities, leaked secrets, unsafe patterns, configuration mistakes, and production risks before you ship it.
Readiness
61 / 100
Review
2 high
A lightweight static-analysis workstation
Generated examples often optimize for clarity and speed, not the exact trust boundaries, configuration, and deployment constraints of your application. MemonaIQ checks observable patterns and explains what deserves human review without guessing who authored the code.
Code stays in browser memory and is processed in an isolated worker.
The same input and ruleset produce reproducible findings.
Every warning includes masked evidence, confidence, impact, and guidance.
Submitted JavaScript, HTML, SQL, and shell text is never executed.
The enabled rules inspect likely secrets, dynamic SQL and shell construction, unsafe HTML, dynamic code execution, request-derived URLs and redirects, weak token randomness, browser credential storage, sensitive logging, TLS bypasses, production debug settings, Docker hazards, dangerous SQL operations, and generated-code readiness markers.
Tutorial and assistant output may contain placeholders, localhost endpoints, mock authentication, permissive CORS, debug logging, or simplified error handling. These can be useful teaching shortcuts while still requiring deliberate production hardening.
Known risky APIs, likely credentials, configuration mistakes, potential injection paths, development leftovers, and deployment hazards visible in the supplied text.
That an application is secure, that code was AI-generated, runtime authorization behavior, production infrastructure security, dependency malware status, or the absence of vulnerabilities.
This first release provides partial language-aware and generic structural analysis. It does not claim complete parsing, whole-program data flow, live CVE intelligence, or repository scanning.
No. Standard scans run in a dedicated Web Worker in your browser. The page has no source upload route, does not persist code, and does not include source or evidence in analytics.
No. AI-authorship detection is unreliable. MemonaIQ reviews deterministic risk patterns that matter regardless of who or what wrote the code.
JavaScript, TypeScript, JSX, TSX, JSON, .env, YAML, Dockerfile, SQL, HTML, and Shell receive partial, language-aware analysis. CSS and unknown text receive generic analysis. Support is labeled in every report.
No. Static analysis finds suspicious patterns in the supplied snippet but cannot prove security, runtime authorization, infrastructure configuration, or business-logic correctness.
Discover other utilities in the MemonaIQ ecosystem designed to help you analyze and optimize your digital infrastructure.
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Enterprise platform for high-speed URL inspection, 30x redirect analysis, SSRF-safe trust scoring, security validation, technical SEO, site crawling, and real-time site uptime monitoring.
