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Security engineer working across offensive tooling, threat intelligence, and ML security research. I build systems that find, detect, or study how things break — from red-team payload generation to fraud-detection pipelines to adversarial robustness benchmarks for intrusion detection.
Contact: LinkedIn · manishtiwari5398@gmail.com
Offensive security & red-team tooling
- Akitty — ESP32/ESP8266 HID injection ecosystem: a DuckyScript-to-Arduino payload studio with an AI copilot, built with Team HYDRA for authorized penetration testing and HID-trust research.
- S3X-Security-Suite-X — a Python security scanner covering S3 bucket exposure, open FTP, exposed dev endpoints, JWT analysis, Shodan/VirusTotal/HIBP integration, subdomain enumeration, and port scanning with HTML/PDF reporting.
- aegis-sandbox — a multi-OS malware analysis platform combining static/dynamic analysis with LLM-assisted behavioral understanding.
Threat intelligence & incident response
- hydra / Trinetra-3.0-Backend — threat-intelligence platforms that scrape Reddit, Pastebin, RSS, and forums for leaked credentials and attack-planning chatter, score severity, and push live alerts over WebSocket.
- Sentinel-05 — an AI-assisted incident analysis pipeline: extracts IoCs from raw logs, cross-checks threat intel, maps findings to MITRE ATT&CK, and generates detection/remediation artifacts with cross-session campaign memory.
- mulewatch — mule-account detection for financial fraud, built for a PSB IIT Hyderabad submission: calibrated LightGBM scoring, leakage-audited feature engineering, and an analyst console.
ML security research
- adversim-ids — a constraint-aware adversarial robustness benchmark for ML-based network intrusion detection, sweeping attacker feature-control across NSL-KDD/CICIDS2017 against FGSM, PGD, JSMA, ZOO, NES, PPO, and DQN. Written up as a full paper with a step-by-step reproduction guide.
Other
- CrimeGPT — investigation case-management with AI-assisted section suggestion and judgment retrieval.
- codebase-time-machine — clones a repo, parses its full commit history into Postgres/pgvector, and answers "why" questions about the code via RAG chat with commit citations.
- agenttrace — tamper-evident, cryptographically signed audit trails for AI agent actions (hash chains, Ed25519 signatures, Merkle trees).
