Background

In today’s digital ecosystem, SIM cards are widely used in cyber fraud, illegal surveillance, and identity theft. Law Enforcement Agencies (LEAs) and telecom regulators need a tool that can quickly and accurately extract IMSI and related information from large batches of SIM cards for monitoring, investigation, and fraud detection.

Currently, manual reading of SIM card data is slow, error-prone, and non-scalable, and there's no standardized reporting framework for suspicious SIM card provisioning patterns.

Problem Statement

There is no hardware-software integrated system that allows automated, high-volume SIM card inspection for critical identifiers (IMSI, ICCID, MSISDN) along with real-time analytics, pattern detection, and database integration. This limits the ability of LEAs and regulators to monitor SIM provisioning and track telecom fraud at scale.

Key Objectives

• Eliminate delays in manual SIM verification
• Detect fraudulent SIM provisioning in real time
• Improve visibility and traceability of telecom subscriber identities
• Enable scalable, field-deployable telecom forensics

Functional Requirements

Design and build a plug-and-play hardware system integrated with intelligent software to read, analyse, and export SIM card data in bulk for telecom forensic and investigative applications.

Core Functionalities:

1. Bulk SIM Card Reading:

• Support batch scanning of 50–100+ SIMs simultaneously
• Read core SIM identifiers: IMSI, ICCID, MSISDN, and operator details
• Support all SIM form factors: 2FF (Standard), 3FF (Micro), 4FF (Nano)

2. Real-Time Data Processing & Export:

• Automatically extract and display data from connected SIMs
• Export structured reports in CSV, Excel, JSON, or integrate with central databases
• Allow tagging, labelling, and comments for each SIM record

3. Intelligent Detection & Pattern Matching:

• Auto-flag duplicate IMSIs, suspicious ranges, or virtual operator clusters
• Perform blacklist/whitelist comparison from LEA or telecom registries
• Alert on shell company provisioning, spoofed identities, or excessive activations from a region/device

 

Optional Bonus Features

• Offline mode for field forensics
• GPS location tagging for where SIMs are scanned
• Integration with facial recognition KYC databases
• Chain-of-custody metadata for forensic admissibility
• Multi-language support in GUI (e.g., Hindi, Gujarati)

Target Users

• Cyber Crime & Telecom Enforcement Units
• LEAs & Intelligence Agencies
• Telecom Regulatory Authorities
• Forensic Labs & Telecom Auditors

Evaluation Criteria

• Speed and accuracy of SIM data extraction
• Hardware reliability and form-factor compatibility
• Detection of patterns and integration with existing LEA databases
• Simplicity and robustness of the user interface
• Potential for mass deployment and regulatory use

Bonus Points

• Real-time demo of working prototype with sample SIMs
• Visual dashboard with flagging, clustering, and export features
• Use of AI/ML to detect emerging fraud patterns
• Forensic-compliant data logging with hash integrity