Muhammad Haseeb@takochi
1
Events attended
1
Submissions made
2+ years of experience
About me
Muhammad Haseeb is a cybersecurity student and hands-on security tool builder focused on offensive security, digital forensics, and automation. He works mainly with Python and has experience developing practical security utilities, investigating artifacts, testing APIs, and strengthening CI/CD pipelines with DevSecOps practices. He’s also exploring applied AI for cybersecurity—building workflows that help analysts triage incidents faster through enrichment, entity extraction, and structured reporting. His interests include OSINT tooling, cybercrime investigation frameworks, and secure backend systems for large-scale threat and case correlation.
🤝 Top Collaborators
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🤓 Latest Submissions
FairPrice Watchdog AI Junk-Fee Evidence Agents
US consumers lose an estimated $64B a year to hidden fees and drip pricing. In May 2025 the FTC's Junk Fees Rule (16 CFR Part 464) made undisclosed mandatory fees illegal with penalties up to $51,744 per violation. Enforcement is landing now (Greystar $23M, Invitation Homes $48M). But there's a bottleneck: the same listing can cost a London shopper more than a New York shopper at the exact same moment and nobody can prove it at scale. Regulators and class-action firms need timestamped, tamper-proof evidence. FairPrice Watchdog is the picks-and-shovels for that evidence. A swarm of six specialized agents takes a single URL and produces a fileable complaint: a Crawler geo-loads the listing, a Journey Simulator walks the checkout (stopping before payment), a Diff agent extracts every fee, a Law-Mapper assigns the exact FTC clause with a detectability tier, and a Filing agent seals a court-ready PDF. Our key innovation: when prices are rendered in JavaScript (invisible to raw scraping), the agent captures a fully-rendered screenshot via Bright Data's Browser API and a GPT-4o vision model (AIMLAPI) reads the price straight off the image like a human. Every fetch has a hard deadline and a graceful fallback, so it never hangs; every result is honestly labeled live/partial/mock; every capture is SHA-256 sealed. Live, we captured a real hotel at $137 for a UK shopper vs $117 for a US shopper same room, same dates with both screenshots sealed and a PDF complaint generated. Built on the full Bright Data stack (Web Unlocker, Residential state-level geo, Browser API, SERP) plus AIMLAPI for vision and reasoning. Coverage spans 29 jurisdictions US (FTC §464), UK (DMCCA), and all 27 EU states (UCPD). Deployed live with auto-HTTPS and self-healing services.
31 May 2026
