I automated data breach response - changing 50 passwords in 30 minutes instead of 8 hours

The math that made me automate this ## The 72-hour window ## How I automated password rotation ## Priority system for breach response ## Handling the edge cases ## The results ## Why local execution matters ## The tool I built ## Your breach response checklist Last month I got the email everyone dreads: "Your account may have been compromised in a data breach." I checked. Same password on 47 other sites. Manually changing 47 passwords takes 4-8 hours. I did it in 30 minutes. Here's how. Each manual password change: ~2.5 minutes per site. Times 50 sites. You see the problem. Security researchers call it the "golden window" - the 72 hours after breach disclosure when: After 72 hours, your leaked password is being tested against thousands of sites by automated credential stuffing tools. I built an AI agent using browser-use (89% benchmark score, open source). The key security insight: the AI navigates the UI, but credentials are injected locally. The LLM never sees your actual passwords. Not all accounts are equal. Here's how I prioritize: P0 accounts first. Always. 2FA prompts: Agent pauses, you complete 2FA, agent continues. CAPTCHAs: Same pattern - agent pauses for human solve, then continues. Site-specific password rules: Agent adapts generation: Anti-bot protection: Use your real Chrome profile with cookies/history. Success rate jumps from 60% to 90%. Tested on 100+ sites: Time for 50 accounts: 32 minutes (with ~15 2FA prompts) Every cloud-based automation tool (Operator, Claude CUA) sends screenshots to external servers. For password changes, that means: For breach response, I want zero data leaving my machine. I packaged this into a Mac app: thepassword.app Free tier: 5 passwords/month. Unlimited: $2.99/month. Have you automated any part of your security workflow? What's your breach response process look like? Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? 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Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse COMMAND_BLOCK: from browser_use import Agent async def rotate_password(site: str, old_pass: str, new_pass: str): agent = Agent( task=f""" Go to {site} Navigate to account settings Find password change section Call enter_current_password() for old password field Call enter_new_password() for new password fields Submit and verify success """, llm_model="gpt-4o" ) # Credentials injected locally - AI never sees actual passwords result = await agent.run( sensitive_data={ "current_password": old_pass, "new_password": new_pass } ) return result Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: from browser_use import Agent async def rotate_password(site: str, old_pass: str, new_pass: str): agent = Agent( task=f""" Go to {site} Navigate to account settings Find password change section Call enter_current_password() for old password field Call enter_new_password() for new password fields Submit and verify success """, llm_model="gpt-4o" ) # Credentials injected locally - AI never sees actual passwords result = await agent.run( sensitive_data={ "current_password": old_pass, "new_password": new_pass } ) return result COMMAND_BLOCK: from browser_use import Agent async def rotate_password(site: str, old_pass: str, new_pass: str): agent = Agent( task=f""" Go to {site} Navigate to account settings Find password change section Call enter_current_password() for old password field Call enter_new_password() for new password fields Submit and verify success """, llm_model="gpt-4o" ) # Credentials injected locally - AI never sees actual passwords result = await agent.run( sensitive_data={ "current_password": old_pass, "new_password": new_pass } ) return result CODE_BLOCK: Agent paused: MFA required for chase.com Please complete verification in browser window. [Continue] [Skip] Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: Agent paused: MFA required for chase.com Please complete verification in browser window. [Continue] [Skip] CODE_BLOCK: Agent paused: MFA required for chase.com Please complete verification in browser window. [Continue] [Skip] COMMAND_BLOCK: # Site requires 8-16 chars, no symbols password = generate( min_length=8, max_length=16, symbols=False # Adapted for this site ) Enter fullscreen mode Exit fullscreen mode COMMAND_BLOCK: # Site requires 8-16 chars, no symbols password = generate( min_length=8, max_length=16, symbols=False # Adapted for this site ) COMMAND_BLOCK: # Site requires 8-16 chars, no symbols password = generate( min_length=8, max_length=16, symbols=False # Adapted for this site ) - Open site, log in (30 sec) - Navigate to settings (20 sec) - Find password section (15 sec) - Generate new password (10 sec) - Enter old + new password (20 sec) - Submit, verify (15 sec) - Update password manager (20 sec) - Credentials haven't hit dark web marketplaces yet - Attackers are still processing the data - You can get ahead of the damage - 89% success rate (automated fully) - 8% required human intervention (CAPTCHAs, unusual flows) - 3% failed (heavy anti-bot, manual only) - Your bank login screen → OpenAI's servers - Your credentials being typed → visible to provider - Every site you use → logged somewhere - Import CSV from any password manager - AI rotates passwords (visible browser, you watch it work) - Export new passwords back to your manager - Everything runs locally - [ ] Identify what was breached - [ ] Enable login alerts on bank + email - [ ] Check password reuse - [ ] Change P0 accounts (financial, email) - [ ] Enable 2FA everywhere - [ ] Review recent account activity - [ ] Rotate all reused passwords - [ ] Update password manager - [ ] Set up credit monitoring if needed