Vibe coding is writing software by prompting AI instead of typing code. This cybersecurity news tool gives your AI-written code a 60-second security scan, because speed is the risk: AI models reproduce the insecure patterns in their training data.
— Ingenious AI security check.
Yes — speed is the risk. Vibe-coded projects ship fast, and AI models reproduce the insecure patterns in their training data: hardcoded secrets, injection flaws, broken auth. This page's 60-second scan targets the most common holes. Treat every AI-written codebase as unreviewed until a scanner or a human has actually checked it.
Writing software by describing what you want to an AI in plain language instead of writing code yourself — fast, but the AI reproduces insecure patterns from its training data.
Veracode's 2025 GenAI Code Security Report tested 100+ large language models across 80 coding tasks: 45% of AI-generated code shipped a real vulnerability. Java was worst at 72%, cross-site scripting flaws slipped through 86% of the time — and security did not improve as models got smarter. Veracode CTO Jens Wessling: “Our research reveals GenAI models make the wrong choices nearly half the time, and it's not improving.” A separate audit of 5,600+ publicly available vibe-coded apps found 2,000+ high-impact vulnerabilities and 400+ exposed secrets. Vibe coding optimizes for “it works” — never for “it's safe.” This 60-second AI code security check tests whether your AI-built app is an open door. Free, no signup.
Answer honestly. Here, "Yes" is the safe answer.
This self-assessment is informational. It reflects Veracode's published 2025 findings and standard application-security practice — it is not a substitute for a professional security audit.
This page checked your scan hygiene. The Vibe-Code Audit check goes deeper on AI-generated code review. Free, no signup.
Run a static-analysis (SAST) scanner over the repo — open-source options include Semgrep and vibe-code-focused AI code security scanners — plus a secrets scan for hardcoded API keys, then a dynamic (DAST) scan against the running app. No scanner replaces a human review of authentication, data handling, and business logic.
Vibe coding security is the practice of checking AI-generated code for the flaws models commonly introduce: hardcoded secrets, injection flaws, cross-site scripting, disabled TLS verification, and insecure defaults. Research (Veracode's 2025 GenAI Code Security Report) found 45% of AI-generated code shipped a real vulnerability.
SAST (Static Application Security Testing) analyzes your source code without running it, flagging known-bad patterns like string-concatenated SQL or hardcoded secrets. DAST (Dynamic Application Security Testing) probes the running application the way an attacker would, finding runtime flaws like authentication bypasses. They catch different bug classes, so security teams use both.
THL ScanHub is an alpha-stage project demoed on October 16, 2026 in the public vibecodinglife Facebook group. Its builder describes it as combining open-source SAST scanners with a custom DAST scanner aimed at vibe-coded applications, generating vulnerability reports, with cloud or local AI plugged in to review findings for false positives. As of this writing it is a demo running on localhost — not publicly available and not independently verified.
Veracode's 2025 GenAI Code Security Report tested over 100 large language models across 80 coding tasks and found AI-generated code introduced security vulnerabilities in 45% of cases. Java was the worst language at 72%, cross-site scripting flaws were missed 86% of the time, and security performance did not improve as models got more capable.
Start with the free tier: run an open-source SAST scanner such as Semgrep on the codebase, probe the running app with OWASP ZAP for DAST, add secret scanning to catch hardcoded API keys, and have a human — or an AI reviewer — triage the findings for false positives before you ship. Scanning once is not enough; wire it into every build.
Open-source AI code security scanners include vibescan, isitsecure, and AXguard, plus Cloudflare's security-audit-skill and general tools like Semgrep for static analysis and OWASP ZAP for dynamic testing. The right pick depends on your stack: SAST for code, DAST for running apps, secrets scanners for leaked keys.