RAFET ABBASLI

The Challenge: Monitoring thousands of dark-web and surface-web sources concurrently without triggering rate limits or losing data consistency.

The Architecture: Designed a distributed system where ZooKeeper manages distributed locks to coordinate hundreds of asynchronous workers, preventing race conditions. RabbitMQ handles high-throughput message brokering for task dispatching.

The Result: A fault-tolerant pipeline capable of ingesting and normalizing terabytes of unstructured threat data into a centralized Data Lake using Protocol Buffers for efficient serialization.

The Challenge: Automating interactions with cybercrime forums protected by military-grade anti-bot solutions (Cloudflare Turnstile, ReCAPTCHA v3, DDoS-Guard) where standard Selenium/Puppeteer gets flagged instantly.

The Solution: Moved beyond WebDriver. I engineer direct Chrome DevTools Protocol (CDP) injections to patch JavaScript execution contexts and normalize browser entropy (Canvas, WebGL, AudioContext).

The Result: A stealth automation framework that mimics human behavior patterns, solves interactive CAPTCHAs programmatically, and maintains persistent sessions in hostile environments.

The Challenge: Detecting brand impersonation and malware across unregulated third-party app stores where no official API exists.

The Solution: Built a watchdog that crawls shadow app stores, downloads APKs, and performs automated static analysis. It decompiles binaries to search for malicious permissions, hardcoded secrets, and repackaged code signatures.

The Result: An automated dragnet that identifies and flags fraudulent mobile applications before they gain traction, feeding intelligence directly into the central security dashboard.

The Challenge: Monitoring social platforms and closed networks that do not offer public APIs.

The Solution: I use advanced MitM techniques to bypass SSL pinning on mobile and web clients, capturing and analyzing proprietary traffic. I then reverse-engineer the request signing logic and data structures.

The Result: Creation of custom, lightweight API clients that replicate the behavior of official apps, allowing for low-bandwidth, high-speed monitoring without the overhead of a full browser stack.