(CEH) v13 AI Certified || CHFI v11 Certified || CRPO || CSCSO || Digital Forensics Analyst || Information Security Analyst || Exploring AI-Driven Security
Sayani Maity is a Digital Forensics Enthusiast, Penetration Tester, Security Researcher, and Information Security Analyst from Kolkata, India, with a graduate background in Digital Forensics from the Indian School of Ethical Hacking (ISOEH), Kolkata, under MAKAUT, West Bengal.
A CEH v13 AI, CHFI v11, CRPO (Certified Ransomware Protection Officer), and CSCSO (Certified SME Cybersecurity Officer) certified cybersecurity professional specializing in Penetration Testing, WAPT/VAPT, Application Security, Digital Forensics, Cybercrime Investigation, OSINT, Threat Analysis, and Security Research.
Skilled in attack-surface mapping, vulnerability discovery and validation, exploit analysis, security misconfiguration assessment, API security testing, digital evidence acquisition and analysis, forensic triage, OSINT intelligence gathering, and security automation, using tools such as Burp Suite, Nmap, OWASP ZAP, Nessus, OpenVAS, Autopsy, FTK Imager, Magnet AXIOM, and Wireshark, with strong Python and Bash capabilities.
Focused on adversarial security assessment, AI-driven cybersecurity, threat-informed analysis, and practical security engineering, with hands-on experience through CTFs, security labs, research, and real-world cybersecurity projects.
(CEH) v13 AI
CHFI v11
Certified Ransomeware Protection Officer
Certified SME Cybersecurity Officer
Certified Ethical Hacker
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Forensic Investigator
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Ransomware-Defenser
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protecting small and medium enterprises (SMEs) from cyber attackst
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Threat Intelligence Analyst
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Red Team Operations
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Expert Professional
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Phishing Prevention Specialist
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Govt. of West Bengal
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ISOEH (Programming)
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Australia Job Simulation
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Cybersecurity Job Sim
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Advent of Cyber · TryHackMe
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ABP & ISOEH CTF
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ABP & ISOEH CTF
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University Cybersecurity CTF
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Cyber Club Kolkata
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Cyber Security Training
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EDGE'24 Geekonix CTF
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ISOEH West Bengal
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Digital evidence acquisition, forensic imaging, artifact extraction, file-system analysis, memory forensics, data carving, timeline reconstruction, metadata examination, hash verification, and chain-of-custody documentation using Autopsy, FTK Imager, Magnet AXIOM, and Cellebrite.
Attack-surface enumeration, reconnaissance, vulnerability discovery, exploit validation, web/API security testing, OWASP Top 10 assessment, business-logic testing, perimeter analysis, and remediation verification using Burp Suite, Nmap, OWASP ZAP, and Metasploit.
Security tooling development and workflow automation using Python and Bash, including reconnaissance orchestration, port and service enumeration, multithreaded scanning, banner analysis, packet-level utilities, structured logging, and automated JSON-based result generation through CMTL.
Open-source intelligence collection, infrastructure reconnaissance, DNS and WHOIS correlation, domain enumeration, digital footprint analysis, exposed-asset identification, threat-actor profiling, and intelligence-driven attack-vector assessment.
AI-assisted threat detection and security research involving phishing analysis, malicious URL classification, NLP-based content analysis, email-authentication assessment, LLM security concepts, prompt-injection research, and intelligent detection workflows.
Cryptographic and data-concealment analysis covering hash verification, encoding/decoding, encryption/decryption concepts, classical cipher analysis, frequency analysis, automated cipher identification, steganographic detection, and concealed-data examination.
Indian School of Ethical Hacking (ISOEH), Kolkata under Maulana Abul Kalam Azad University of Technology (MAKAUT), West Bengal, India.
St. Thomas' High School, Howrah, West Bengal, India.
Web-based Digital Forensic Learning Tool implementing hashing and encoding techniques.
A web-based digital forensic learning tool for security analysis.
• Core Utilities: Hash generation (MD5/SHA) & Base64 encoding/decoding.
• Forensic Focus: Caesar Cipher (Encrypt/Decrypt) & Auto-key detection.
• Dynamic Workflow: Fast, browser-based execution with modular design.
GUI platform for VAPT, Pen Testing, and Network Scanning.
A unified Python CLI/GUI launcher to streamline VAPT workflows.
• Unified Control: Integrates external tools & internal scanners.
• Automation: One-click sequential execution & JSON reporting.
• Built-in Tools: Integrated port, packet, and subdomain scanners.
Detects phishing emails using AI analysis of headers and content.
An AI-driven security tool for real-time phishing threat detection.
• Multi-Layer Analysis: Deep inspection of email headers, content, and URLs.
• Smart Classification: ML-based phishing risk scoring & instant alerts.
• Data-Driven: Utilizes NLP & advanced pattern recognition for high accuracy.













> root@sayani:~# execute contact_protocol
Inquiries: [Forensics | Research | Collaboration] · Status: Open for connection.