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How unmonitored servers and stolen credentials openly trade citizen identities, sign copies, and location tracking data, commercialising state databases.

Modified September 15, 2026 | Category: /Osint

Bangladesh’s digital security environment has a major structural paradox. A commercial underground marketplace has replaced the decade-old state architecture that protected citizens’ identities. Digital forensics teams discovered a micro-economy on Telegram channels, WhatsApp groups, and targeted Facebook advertising campaigns. Anonymous attackers steal full NID profiles in 17 minutes for Tk 500. Syndicates sell multi-month Call Detail Records (CDRs) for Tk 900 and “live location tracking” in 16 minutes for Tk 1,500. Automation of citizen data distribution shows a major operational imbalance. by automated citizen data distribution. When a cyber-harassment or extortion victim files a General Diary (GD) at a local police station, the statutory legal chain, which requires judicial clearance and official telecommunications routing, takes seven to fifteen days to deliver a single CDR sheet to an investigative officer On the other hand, the same data extraction is nearly instantaneous in the underground market. This should not be interpreted as a real-time elite government database hack. A deep-tech Mays analysis by the OSINT Forensic Wing found that this marketplace is a combination of corporate structural blindness, legacy protocol exploits, and massive historical wholesale data theft being sold to the public.

The Core Engine Room: Analysing Custom APIs and Proxy Architecture There is a prevalent misconception that malicious actors are executing live remote code execution (RCE) directly against the central NID servers managed by the Election Commission. However, this belief is technically inaccurate. The primary vector for compromise lies at the edges of the verification ecosystem, stemming from the exploitation of poorly configured Application Programming Interfaces (APIs) that have been assigned to third-party verification partners.

Threat Vector Architecture

Automated Data Leak & Systemic Cyber Threat Pipeline

Interactive forensic roadmap illustrating inbound bot queries, C2 diversion, residential proxies, API exploits, and SS7 location mapping

STEP 01 | INBOUND ENTRY Automated Telegram Bot • Inbound Query Interface • Input: Target MSISDN / NID • Retail Buyer Endpoint STEP 02 | COMMAND & CONTROL Custom C2 API & Script Hub • Automated Scraping Scripts • Inbound Request Parser • Dual-Track Diversion Engine TRACK A | EVASION LAYER Residential Proxy Networks • Dynamic IP Rotation Layer • WAF Anomaly Filter Bypass • Decoupled Scraper Traffic STEP 04A | API EXPLOIT Partner Verification APIs • Stolen JWT & Hardcoded Keys • Unmonitored Sub-Servers STEP 05A | DATA VAULT Exploited Registry Copy • NID Database & Sign Copy • 46 Categories Metadata TRACK B | TELECOM CHANNEL Bulk SMS & Roaming Nodes • International Interconnects • Short-Code Gateway Access • Unsanitized Signaling Paths STEP 04B | SIGNAL EXPLOIT SS7 / Diameter Injections • Illicit ATI / SRI Query Pings • Core Network HLR Interrogation • Unauthenticated MAP Query STEP 05B | GEOSPATIAL MAP Geospatial Cell Extraction • Active Cell ID (CID) & LAC • Tower Sector Coordinate Map FINAL STEP | CONSOLIDATED OUTPUT Consolidated Intelligence Packet • Merged NID, CDR & Location Map • Delivered via Bot in < 17 Minutes Commercial Price: BDT 500 – 1,500
Technical Source: OSINT Forensic Investigation Wing (Article Insight Cyber Audit)

To facilitate automated identity checks for services such as SIM registration, banking, and Mobile Financial Services (MFS), the state has granted API validation privileges to over 182 public and private institutions. The exploitation path occurs in three distinct phases:

1. OAuth and JWT Token Hijacking

Many third-party partner apps are haunted by weak client-side security architecture. Threat actors decompile and reverse engineer proprietary Android Application Packages (APKs) to extract hardcoded cryptographic secrets and JSON Web Tokens (JWT). The stolen authorisation strings enable attackers to simulate legitimate corporate validation requests directly at the verification gateways, bypassing the official front-end applications entirely.

2. Evasion of Rate-Limiting via Residential Proxy Networks

Standard Web Application Firewalls (WAFs) are tuned to detect high frequency automated requests from a single block of IP addresses. To circumvent this detection, the syndicates use Distributed Residential Proxy Networks to reroute their queries. The attack signature mimics normal, decentralised traffic scattering thousands of lookups across legitimate home broadband and mobile data IPs across the country. The central security gateway does not trigger anomaly detection protocols, allowing for continuous data scraping.

The Dual-Layer Surveillance Ecosystem

Sovereignty Threat Analysis

THE DUAL-LAYER SURVEILLANCE ECOSYSTEM

OSINT Threat Architecture & Endpoint Telemetry Matrix: Server-Side Registry Exposure vs Device-Side Telemetry

LAYER 01 | WHOLESALE REGISTRY SERVER-SIDE LEAKS Infrastructure & Database Compromise Vector EXPOSURE VECTOR 01 110M National Mirrored Records • Unencrypted Central Registry Clone & Backups • Leaked onto Dark Web & Automated Retail Interfaces EXPOSURE VECTOR 02 46 Categories of Permanent Metadata • PII, National Identity Sign Copies & Server Records • Historical CDR Text Dumps & Transaction Logs EXPOSURE VECTOR 03 Commercialized API Backdoors • Compromised Partner Verification Endpoints • Stolen JWT Credentials & Hardcoded APK Keys LAYER 02 | ENDPOINT SECURITY DEVICE-SIDE TELEMETRY Hardware & Malware Tracking Vector TELEMETRY VECTOR 01 Hardcoded Trojan App Droppers • Counterfeit Banking & Utility App Perms • Background Spyware & Silent System Monitors TELEMETRY VECTOR 02 Device ID & AAID Persistent Binding • Android ID, AAID, MCC/MNC Carrier Binding • Immutable Fingerprint Resisting SIM Swaps TELEMETRY VECTOR 03 Real-Time OTP & SMS Interception • READ_SMS / RECEIVE_SMS Permission Abuse • Automated 2FA Hijacking & Financial Fraud CONSOLIDATED SURVEILLANCE NEXUS Persistent Digital Profile Synthesis Server-Side PII Leaks Merged with Hardware Telemetry for Unbroken Identity Tracking
Technical Source: OSINT Forensic Investigation Wing (Article Insight Cyber Audit)

3. The Retail Parasite Model

The actors operating these automated retail bots are not advanced international persistent threat (APT) groups. If elite ransomware syndicates held exclusive control over this access, they would lock the infrastructure and demand millions in ransom from state entities. Instead, the current threat landscape consists of domestic, tech-savvy cybercriminals acting as retail distributors of an already compromised ecosystem.

The Telecommunications Illusion: Deconstructing the "Live Location" and CDR Myth

The commercial claim that these illicit platforms provide real-time geospatial tracking must be evaluated against the realities of cellular network architecture. The automated bots do not hack into the handset's global positioning system (GPS) chip. Rather, they exploit a long-standing vulnerability in the legacy international signalling infrastructure: SS7 (Signalling System 7) Interconnect Abuse.

The SS7 Signalling Exploitation Pathway

Every mobile device registers its active presence with a local cell tower, a metric continuously tracked by the carrier’s Home Location Register (HLR) and Visitor Location Register (VLR) to route incoming voice paths. The underground syndicates obtain commercial access to international short-code channels, bulk SMS routing gateways, or foreign telecommunications nodes. Utilising these access paths, they inject illicit AnyTimeInterrogation (ATI) or SendRoutingInfo (SRI) signalling queries into the global carrier network.

The destination mobile operator’s HLR processes the query as a routine international roaming validation request. Without triggering security alerts, the HLR responds with the target device's active Cell ID (CID) and Location Area Code (LAC). The bot takes these raw cellular identifiers, cross-references them against open-source geospatial tower mapping registries (such as OpenCellID), and generates a static geographic map coordinate.

The Tactical Reality

This process does not provide real-time, dynamic target movement tracking. It delivers a static geographic snapshot of the cell tower sector serving the device at that exact timestamp. In dense urban centres like Dhaka, where tower sectors cluster tightly within a few hundred metres, this approach provides a close approximation of location. However, in rural districts where a single Base Transceiver Station (BTS) covers a radius of several kilometres, the margin of error can span miles, rendering true tactical interception impossible without ground-based IMSI catchers.

Similarly, the sale of "call records" does not involve the interception of live voice audio streams. Instead, it refers to the illicit extraction of Call Detail Record (CDR) (metadata) text dumps from compromised billing databases, customer care backend panels, or corporate distribution networks. These logs contain transactional details: originating MSISDN, destination numbers, duration, timestamps, and routing identifiers.

Forensic Data: Coordinated Device Fingerprinting and Identity Binding

Data compiled by the OSINT Forensic Wing highlights a secondary, device-level tracking method that operates via mobile malware. The underground market doesn't just use server-side data leaks; it also uses background telemetry that comes directly from hacked user devices.

The proliferation of counterfeit banking apps, modified utility tools, and trojanised applications within unofficial distribution ecosystems facilitates a process known as persistent identity binding. When installed, these malicious applications request wide-ranging system permissions (e.g., READ_SMS, RECEIVE_SMS, READ_PHONE_STATE).

While modern mobile operating systems restrict direct calls to hardware identifiers like the IMEI or IMSI, these applications collect alternative telemetry points to build an immutable device fingerprint:

Endpoint Telemetry Matrix

Device Identifier Architecture & Persistent Identity Binding

Forensic breakdown of hardware, advertising, and telephony telemetry points exploited by background malware

Device Identifier Package Unified Telemetry Payload Persistent Identity Binding Hub HARDWARE LAYER Android ID / Apple IDFV • Unique Firmware Installation Key • Resists Application Re-installs ADVERTISING PROFILE Google AAID / IDFA • Cross-App Commercial Tracking • Behavioral Profile Linkage CARRIER METADATA TelephonyManager State • MCC/MNC Carrier Country Codes • SIM Serial & MSISDN Mapping EXPLOITATION VECTOR Trojan Dropper Permissions • READ_SMS & RECEIVE_SMS Slurping • Real-Time OTP & Financial Capture
Technical Source: OSINT Forensic Investigation Wing (Article Insight Audit)

By binding the device's persistent software signature to the user's active mobile number and the operator's routing metadata, the application establishes a constant tracking loop. When a leaked NID profile matches this device footprint, the application consolidates the user's complete digital profile.

If the user changes their physical SIM card, the persistent hardware fingerprint allows the malicious command-and-control (C2) server to update the database with the new mobile identity. This configuration enables the silent interception of One-Time Passwords (OTPs), creating a mechanism for remote financial fraud and account takeovers without the user's knowledge.

The Wholesale Heritage: The 200 Billion Taka Mirror Copy Corporate Syndicate

The current retail sale of citizen information through cheap automated interfaces is the direct consequence of a massive, systemic historical data breach. The root cause of this exposure is documented within public legal records, specifically the criminal case filed at Kafrul Police Station under the Cyber Security Act against former ICT Advisor Sajeeb Wazed Joy, former State Minister Zunaid Ahmed Palak, and senior corporate executives.

According to formal police investigations and judicial filings, the historical administration abused its executive authority to orchestrate a systematic data monetisation scheme. Instead of maintaining the national identity infrastructure within a secure, air-gapped sovereign databank, the defendants authorised the creation of a complete "Mirror Copy" (a full database clone) of the national registry, which contains 46 distinct categories of personal data per citizen.

This mirrored repository was subsequently handed over to a private corporate entity, Digicon Global Services Limited, which was granted authorisation to commercially validate and trade this information with over 182 local and international corporate bodies.

Initial law enforcement estimates place the illicit revenue generated by this corporate syndicate at approximately Tk 20,000 crore (220 billion BDT). Following political changes, state investigations led by the Dhaka Metropolitan Police (DMP) resulted in the arrest of high-ranking technical directors, including Tariq M. Barkatullah, the former director of the National Data Center.

The current retail availability of citizen data via cheap Telegram interfaces represents the redistribution of these leaked database backups, which have been spread across dark web repositories beyond the reach of local regulatory intervention.

Institutional Evasion: Analysing Regulator and Carrier Deflection

The persistence of this data security breakdown is compounded by a pattern of defensive posture and shared accountability between the state regulator, the Bangladesh Telecommunication Regulatory Commission (BTRC), and commercial mobile network operators (MNOs).

The Regulatory Defence Strategy

The official position of the BTRC has focused on infrastructure isolation. The regulator maintains that its central systems, cryptographic cores, and primary identity validation networks have not suffered a direct network compromise. The authority shifts operational blame downward, attributing the data exposure to security failures within the distributed API systems of third-party commercial verification partners.

Threat Infrastructure Analysis

Automated Telegram Bot & Command-and-Control (C2) Traffic Diversion Pipeline

Forensic telemetry layout showing inbound user queries, C2 request splitting, and dual-track data extraction

STEP 01 | THREAT INTERFACE Automated Telegram Bot • Inbound Target MSISDN / NID • Automated User Request Entry • Retail Buyer Interface STEP 02 | COMMAND & CONTROL Custom C2 API & Script Hub • Request Processing & Parsing • Dual-Track Request Diverter Track A: NID Metadata Extraction Track B: Live SS7 Location Query TRACK A | NID VAULT Proxy Rotation & Partner APIs • Residential IP Bypass • Stolen JWT Token Replay • Scraped Registry / Sign Copy Target Output: Full NID Dossier TRACK B | SS7 EXPLOIT Roaming & Gateway Pings • Injected ATI / SRI Queries • HLR Cellular Response • Cell ID (CID) & LAC Extract Target Output: Cell Sector Map FINAL OUTPUT PACKET Consolidated Intelligence Dossier • Merged NID, CDR & Location Map • Instant Delivery (< 17 Minutes) Commercial Price: BDT 500 – 1,500
Source Architecture: OSINT Forensic Investigation Wing (Article Insight Technical Audit)

The Carrier Response Model

Commercial telecommunications providers maintain a policy of public silence regarding data security incidents. In internal regulatory communications, carriers emphasise their statutory obligations under Section 36 of the Telecommunications Regulation Act. This provision mandates the installation of Lawful Interception (LI) capabilities directly into their switching networks to assist state security units.

Carriers argue that because these data access paths are built into their infrastructure by legal mandate, implementing strict zero-trust parameters—such as tight IP whitelisting or rigid endpoint authentication—can conflict with real-time official intelligence access requests.

Furthermore, the domestic regulatory framework lacks strict financial penalties for data security failures. Unlike international frameworks such as the European Union's General Data Protection Regulation (GDPR)—which penalises corporate data negligence by levying fines of up to 4% of a company's global annual turnover—the domestic framework provides minimal financial accountability for corporate data exposure. Consequently, commercial operators often treat data security enhancements as an unnecessary operational expense rather than a core business requirement.

Structural Remedies: Frameworks for a Sovereign Zero-Trust Data Architecture

Resolving this data protection crisis requires moving away from superficial patches, such as temporary IP blocks or platform bans. The state must transition toward a unified Zero-Trust Sovereign Data Architecture. Digital policy analysts and forensics experts outline four key technical reforms:

1. Centralisation via a Secure National API Gateway

The practice of granting hundreds of independent corporate partners direct, software-based access keys to the national identity database must be discontinued. All third-party verifications must be consolidated through a single National Verification Gateway (NVG). This gateway must enforce rigid adaptive rate limiting powered by anomaly detection models capable of identifying automated scraping patterns, even when routed through residential proxy blocks.

2. Hardware-Bound Authentication Infrastructures

Client-side malware easily steals software authentication strings, such as traditional OAuth configurations or unprotected JSON Web Tokens. Regulatory frameworks must mandate that all data validation requests be authenticated using hardware-bound mechanisms, such as Hardware Security Modules (HSMs) or physical cryptographic security keys (e.g., YubiKeys). This prevents stolen access tokens from being used on unauthorised servers.

3. Carrier-Level Signalling Security Mandates

The BTRC must require all telecommunications providers to upgrade their network routing layers with advanced SS7/Diameter firewalls. These systems must be configured to drop all external, incoming location queries—such as AnyTimeInterrogation (ATI) and SendRoutingInfo (SRI) requests—unless they carry an authorised cryptographic signature that is verified by a judicial order or a recognised state security directive.

4. Establishment of a Statutory Data Protection Authority

The legal framework must be reinforced by establishing an independent, non-partisan Data Protection Authority (DPA) equipped with full enforcement powers. This entity must be legally authorised to impose significant, revenue-indexed financial penalties on any corporate entity or state agency found negligent in safeguarding citizens' data. When data protection compliance carries existential financial risks, corporate and state institutions will allocate the resources necessary to secure personal information.

🔍 Technical Diagnostic Metrics

OSINT Forensics & Remote Sensing Indicators Matrix

Technical ComponentTarget Threat VectorVerification / OSINT MethodologyRecommended Technical Mitigation
SS7 Signaling InterfaceExploitation of ATI/SRI queries to extract real-time tower location coordinates without authorization.Analysis of network signaling gateway logs and independent auditing of VLR presence indicators.Deployment of state-mandated Signaling Firewalls with strict filtering rules at all International Gateways.
Custom Partner Validation APIsAutomated bulk extraction of registry records via compromised third-party access endpoints.Source code reverse engineering and tracking of API token lifecycles across external hosts.Mandatory implementation of Hardware Security Modules (HSM) and physical cryptographic validation tokens.
Distributed Proxy NetworksRotation of queries across domestic residential IP blocks to bypass WAF rate limits.Algorithmic analysis of connection traffic to isolate distributed query patterns.Deployment of Behavioral AI Filters and enforcement of cryptographic verification steps.
Handset Droppers & Trojan AppsSilent background telemetry capture and binding of Android ID, AAID, and SIM metadata.Runtime permission auditing using adb logcat and network packet analysis via mitmproxy/Wireshark.Server-side validation of active user sessions and strict verification of application deployment paths.

Conclusion: Protecting National Digital Sovereignty

The exposure of national identity registries, telecommunications transactional meta-logs, and geographic cell-sector distributions points to a significant institutional vulnerability. As this investigation demonstrates, the current crisis is not the result of a single cyber attack on an air-gapped server room. Instead, it is the consequence of a legacy telecommunications infrastructure, poorly secured corporate API gateways, and an unmitigated historical wholesale data leak that remains unresolved.

By defining the precise technical pathways of custom API manipulation, SS7 signalling design flaws, and device-level fingerprint binding, this report provides a framework for structural reform. Resolving this crisis requires moving away from temporary platform-level blocks toward a robust, zero-trust data architecture supported by clear legal and financial accountability for data handlers. Securing the digital identities of 110 million citizens is an essential requirement for maintaining national security and public trust in the digital age.

📖 Professional References & Cyber Audit Sources

Case Citation Reference:

References & Forensic Audit Trail

Frequently Asked Questions

Q1: Was the central Election Commission NID database directly hacked? +

No. Technical telemetry indicates there was no direct Remote Code Execution (RCE) on the central NID servers. Instead, the compromise occurred at third-party partner verification APIs where hardcoded cryptographic keys and stolen JSON Web Tokens (JWT) were hijacked to scrape validation endpoints directly.

Q2: How do automated Telegram bots perform "live location tracking"? +

These platforms do not hack handset GPS chips. Instead, they exploit legacy international telecommunications interconnects via SS7 (Signaling System 7) queries (such as ATI/SRI injections). This returns a static snapshot of the active Cell ID (CID) and Location Area Code (LAC) from the carrier's Home Location Register (HLR).

Q3: Why couldn't standard Web Application Firewalls (WAF) block the automated scrapers? +

Syndicates route queries through Distributed Residential Proxy Networks, rotating requests across thousands of legitimate household broadband and mobile IP addresses nationwide. This mimics normal decentralized user traffic, bypassing traditional single-IP rate-limiting filters.

Q4: Where did the wholesale 110 million record database originate? +

According to judicial filings and forensic records, an unencrypted "Mirror Copy" containing 46 categories of citizen metadata was handed over to private commercial entities for monetization. Backups of this historical clone subsequently leaked onto dark web repositories and automated retail interfaces.

Q5: What are the key technical recommendations to secure national digital sovereignty? +

Rebuilding national security requires establishing a centralized National Verification Gateway (NVG) with adaptive rate limiting, mandating Hardware Security Modules (HSM) for API keys, enforcing carrier-level SS7 signaling firewalls, and forming an independent statutory Data Protection Authority (DPA).

Read More: Specialised OSINT tools for collecting expert intelligence

Author

Tuhin Sarwar

As Editor-in-Chief of Article Insight, he conducts in-depth investigations into human rights abuses and corruption, leveraging open-source intelligence and primary-source documentation.

Tuhin Sarwar
Tuhin Sarwarhttps://tuhinsarwar.com
As Editor-in-Chief of Article Insight, he conducts in-depth investigations into human rights abuses and corruption, leveraging open-source intelligence and primary-source documentation.
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