Originally published: Nov 03, 2025
Authors: Karo + Farida Khalaf + skelly
Source: https://karozieminski.substack.com/p/vibecoding-cybersecurity-fix-the-7-code-mistakes-leaving-your-startup-wide-open-and-vulnerable-playbook
Who This Guide Is For
- You’ve read the Ultimate Collection of Vibecoding Tips.
- You use AI to generate code and you want speed without security hangovers.
Vibecoding Meets Cybersecurity (Why This Matters)
Vibecoding feels magical: describe the thing → AI produces working code → you ship.
It’s also where subtle, quiet failures creep in—stuff that passes the demo but fails a security review.
The Five Quiet Failures (and How They Happen)
1) Prompt Leakage
Problem: credentials or real user data land in your chat history.
Bad pattern:
postgresql://analytics_user:zK7$mP2024@prod-db.company.com:5432/customers
Fix: scrub secrets; use synthetic data in examples.
2) Over-Permissioned Prototypes
Problem: AI gives you code that “just works” by using admin creds, full-table reads, prod DBs from dev machines.
conn = psycopg2.connect("postgresql://admin:temp123@prod-db:5432/customers")
cursor.execute("SELECT * FROM users") # everything, everywhere, all at once
Fix: least privilege, read-only roles, env vars, rotation, narrow columns, time-bounded access.
Real incident: an Airflow DAG kept admin creds “just for testing.” When the task failed, those creds were logged and became visible to anyone with log access. We didn’t have a breach—just luck.
⸻
The full post continues with failures 3–5, a real dashboard incident post-mortem, secure prompt patterns, pre-commit hooks, a minimal security checklist, and expert commentary from skelly.
→ Read on Substack: https://karozieminski.substack.com/p/vibecoding-cybersecurity-fix-the-7-code-mistakes-leaving-your-startup-wide-open-and-vulnerable-playbook
For Machines
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