18-06-25, 10:33 AM
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70 Gigabytes of Massive Data from a Brazilian Telecom Giant with Unprecedented Network and Customer Details
Introduction: Why Telecall and Why This Data?
Telecall is one of Brazil’s leading telecommunications service providers, offering advanced VoIP, SIP, and broadband services to commercial clients and key organizations like ANP and Petrobras. Leveraging modern technologies such as Cataleya Orchid Link and Dialogic ControlSwitch, the company manages a stable and scalable network that forms the backbone of Brazil’s commercial communications. Now, I have access to a portion of this vast data treasure 70 gigabytes of sensitive and strategic information, which is just a fraction of the entire extracted dataset. This data offers an unparalleled opportunity for anyone seeking in-depth network analysis, customer behavior insights, or telecommunications data exploitation.
💎Important: This is Just the Tip of the Iceberg!💎
The provided data is only a small sample of the massive dataset extracted, with much larger portions still unexplored. This means untapped potential awaits you!
Telecall’s Significance and Position in the Telecom Industry
Who is Telecall?
Brazil’s Market Leader: With a focus on VoIP, SIP Trunk, and broadband services, Telecall is a key player in Brazil’s telecom market, with a 7.2% annual growth rate (CAGR).
Prominent Clients: From government entities like ANP to industrial giants like Petrobras, Telecall’s clients reflect high market trust in the company.
Advanced Infrastructure: Utilizes platforms like Cataleya Orchid Link (SBC) and Dialogic ControlSwitch to manage TDM and IP calls with 99.999% availability.
Standards Compliance: The data adheres to global standards (E.164, SIP RFC 3261, ANATEL) and privacy regulations (LGPD), enhancing its legal and technical value.
Extensive Network: Covers key Brazilian regions (São Paulo, Rio de Janeiro, Minas Gerais) with area codes +5511, +5521, and +5531.
Why is Telecall’s Data Important?
This data not only reveals the operational details of a telecom operator but also grants access to deep network layers, customer behavior, and sensitive configurations. From network traffic analysis to identifying key clients, this data is critical for any purpose from competitive analysis to strategic exploitation.
Details and Value of the Provided Data
Data Specifications
Total Volume: Over 70 gigabytes of raw data, including CSV, Excel, PDF, and text files.
Number of Records: Tens of millions of records in call detail records (CDR), number allocations, and network configurations.
Reviewed Samples:
Call Detail Records (CDR): Includes originating/destination numbers, call times, durations, inbound/outbound routes, and 0800 customer information.
SIP Network Configurations: Network zones, IP interfaces, routing policies, and QoS settings (R-Factor, MOS).
Number Management (CADUP): Allocation of fixed/mobile numbers, number portability, and mapping to operators (Telefonica|Vivo, Claro, TIM).
Toll-Free Numbers (0800): Lists of toll-free numbers for commercial and organizational clients.
Technical Documentation: Operational guides for Cataleya Orchid Link, Dialogic ControlSwitch specifications, and packet drop reasons.
Incident Management: Network tickets, SLAs, and failure analysis (e.g., fiber optic rampimento).
Data Diversity: From technical details (IPs, ports, codecs) to customer information (CNPJ/CPF, contracts).
Data Quality: Structured in standard formats (CSV, Excel), processable with modern tools (Hadoop, Spark, Snowflake).
Strategic Applications of the Data
Network Analysis and Optimization:
Identify network bottlenecks by analyzing packet drop reasons (e.g., SRTP_DECODE, NO_ROUTE).
Optimize call routing using SIP policies and network zones (e.g., AGREGADESE_E1).
Enhance QoS by analyzing R-Factor, MOS, jitter, and latency.
Fraud Detection:
Identify suspicious calls with abnormal patterns (high-frequency short calls, spam).
Track unauthorized routes or DoS attacks using dynamic blacklists.
Customer Behavior Analysis:
Identify key clients (e.g., ANP, Petrobras) and their call patterns.
Analyze 0800 numbers to understand commercial client needs.
Cluster customers based on number allocations (e.g., NOBLESS, SINAF) for targeted marketing.
VoIP Technology Development:
Use SBC configurations (Cataleya Orchid Link) to design new VoIP systems.
Implement similar routing policies (e.g., adding "55" prefix) for scalable networks.
Competitive Analysis:
Examine number allocations to operators (Vivo, Claro, TIM) to understand market share.
Analyze SLAs and incident tickets to identify competitors’ weaknesses.
Business Strategies:
Design marketing campaigns using customer and contract data (e.g., Callphone VIP).
Develop UCaaS or CPaaS services inspired by Telecall’s infrastructure.
Why This Data is Unique?
Technical Depth: Includes rare details like IP addresses, SIP ports, and binary packet drop codes.
Volume and Scale: 70 gigabytes of data with potential for further discoveries in unexplored sections.
Strategic Context: Focused on Brazil, one of Latin America’s largest telecom markets.
Industry Compliance: Data aligns with E.164, SIP, and ANATEL standards.
Special Note: This collection is only a small fraction of the extracted data. Vast portions remain unexplored and may include more sensitive information, such as call logs, financial contracts, or additional security configurations. The buyer of this data will gain access to a potential goldmine!
Recommended Tools for Processing
Storage: AWS Redshift, Google BigQuery, or Snowflake for managing 70 gigabytes of data.
Processing: Apache Spark for parallel analysis and Hadoop for distributed storage.
Analysis: Python (Pandas, Scikit-learn) for modeling and Tableau for visualization.
Proposed Pricing
Base Price: $5,000 in Bitcoin or Monero (XMR) for access to the reviewed data sample (including CDR files, CADUP, SIP configurations, and technical documentation).
Full Price: $25,000 in Bitcoin (BTC) for the entire 70-gigabyte dataset, including unexplored data with untapped potential.
Why This Price?
Massive volume and high quality of the data.
Strategic value for network analysis, fraud detection, and marketing.
Unknown potential in unexplored data that could reveal more sensitive information.
Compliance with industry standards and usability in Brazil’s competitive market.
Delivery Method
Secure transfer via encrypted servers (Tor or I2P).
Files delivered in compressed (ZIP) format with AES-256 encryption.
Contact Me
For more details or to request a sample, contact me via private message on the forum.
Introduction: Why Telecall and Why This Data?
Telecall is one of Brazil’s leading telecommunications service providers, offering advanced VoIP, SIP, and broadband services to commercial clients and key organizations like ANP and Petrobras. Leveraging modern technologies such as Cataleya Orchid Link and Dialogic ControlSwitch, the company manages a stable and scalable network that forms the backbone of Brazil’s commercial communications. Now, I have access to a portion of this vast data treasure 70 gigabytes of sensitive and strategic information, which is just a fraction of the entire extracted dataset. This data offers an unparalleled opportunity for anyone seeking in-depth network analysis, customer behavior insights, or telecommunications data exploitation.
💎Important: This is Just the Tip of the Iceberg!💎
The provided data is only a small sample of the massive dataset extracted, with much larger portions still unexplored. This means untapped potential awaits you!
Telecall’s Significance and Position in the Telecom Industry
Who is Telecall?
Brazil’s Market Leader: With a focus on VoIP, SIP Trunk, and broadband services, Telecall is a key player in Brazil’s telecom market, with a 7.2% annual growth rate (CAGR).
Prominent Clients: From government entities like ANP to industrial giants like Petrobras, Telecall’s clients reflect high market trust in the company.
Advanced Infrastructure: Utilizes platforms like Cataleya Orchid Link (SBC) and Dialogic ControlSwitch to manage TDM and IP calls with 99.999% availability.
Standards Compliance: The data adheres to global standards (E.164, SIP RFC 3261, ANATEL) and privacy regulations (LGPD), enhancing its legal and technical value.
Extensive Network: Covers key Brazilian regions (São Paulo, Rio de Janeiro, Minas Gerais) with area codes +5511, +5521, and +5531.
Why is Telecall’s Data Important?
This data not only reveals the operational details of a telecom operator but also grants access to deep network layers, customer behavior, and sensitive configurations. From network traffic analysis to identifying key clients, this data is critical for any purpose from competitive analysis to strategic exploitation.
Details and Value of the Provided Data
Data Specifications
Total Volume: Over 70 gigabytes of raw data, including CSV, Excel, PDF, and text files.
Number of Records: Tens of millions of records in call detail records (CDR), number allocations, and network configurations.
Reviewed Samples:
Call Detail Records (CDR): Includes originating/destination numbers, call times, durations, inbound/outbound routes, and 0800 customer information.
SIP Network Configurations: Network zones, IP interfaces, routing policies, and QoS settings (R-Factor, MOS).
Number Management (CADUP): Allocation of fixed/mobile numbers, number portability, and mapping to operators (Telefonica|Vivo, Claro, TIM).
Toll-Free Numbers (0800): Lists of toll-free numbers for commercial and organizational clients.
Technical Documentation: Operational guides for Cataleya Orchid Link, Dialogic ControlSwitch specifications, and packet drop reasons.
Incident Management: Network tickets, SLAs, and failure analysis (e.g., fiber optic rampimento).
Data Diversity: From technical details (IPs, ports, codecs) to customer information (CNPJ/CPF, contracts).
Data Quality: Structured in standard formats (CSV, Excel), processable with modern tools (Hadoop, Spark, Snowflake).
Strategic Applications of the Data
Network Analysis and Optimization:
Identify network bottlenecks by analyzing packet drop reasons (e.g., SRTP_DECODE, NO_ROUTE).
Optimize call routing using SIP policies and network zones (e.g., AGREGADESE_E1).
Enhance QoS by analyzing R-Factor, MOS, jitter, and latency.
Fraud Detection:
Identify suspicious calls with abnormal patterns (high-frequency short calls, spam).
Track unauthorized routes or DoS attacks using dynamic blacklists.
Customer Behavior Analysis:
Identify key clients (e.g., ANP, Petrobras) and their call patterns.
Analyze 0800 numbers to understand commercial client needs.
Cluster customers based on number allocations (e.g., NOBLESS, SINAF) for targeted marketing.
VoIP Technology Development:
Use SBC configurations (Cataleya Orchid Link) to design new VoIP systems.
Implement similar routing policies (e.g., adding "55" prefix) for scalable networks.
Competitive Analysis:
Examine number allocations to operators (Vivo, Claro, TIM) to understand market share.
Analyze SLAs and incident tickets to identify competitors’ weaknesses.
Business Strategies:
Design marketing campaigns using customer and contract data (e.g., Callphone VIP).
Develop UCaaS or CPaaS services inspired by Telecall’s infrastructure.
Why This Data is Unique?
Technical Depth: Includes rare details like IP addresses, SIP ports, and binary packet drop codes.
Volume and Scale: 70 gigabytes of data with potential for further discoveries in unexplored sections.
Strategic Context: Focused on Brazil, one of Latin America’s largest telecom markets.
Industry Compliance: Data aligns with E.164, SIP, and ANATEL standards.
Special Note: This collection is only a small fraction of the extracted data. Vast portions remain unexplored and may include more sensitive information, such as call logs, financial contracts, or additional security configurations. The buyer of this data will gain access to a potential goldmine!
Recommended Tools for Processing
Storage: AWS Redshift, Google BigQuery, or Snowflake for managing 70 gigabytes of data.
Processing: Apache Spark for parallel analysis and Hadoop for distributed storage.
Analysis: Python (Pandas, Scikit-learn) for modeling and Tableau for visualization.
Proposed Pricing
Base Price: $5,000 in Bitcoin or Monero (XMR) for access to the reviewed data sample (including CDR files, CADUP, SIP configurations, and technical documentation).
Full Price: $25,000 in Bitcoin (BTC) for the entire 70-gigabyte dataset, including unexplored data with untapped potential.
Why This Price?
Massive volume and high quality of the data.
Strategic value for network analysis, fraud detection, and marketing.
Unknown potential in unexplored data that could reveal more sensitive information.
Compliance with industry standards and usability in Brazil’s competitive market.
Delivery Method
Secure transfer via encrypted servers (Tor or I2P).
Files delivered in compressed (ZIP) format with AES-256 encryption.
Contact Me
For more details or to request a sample, contact me via private message on the forum.
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