Telegram’s Dark Trade: Unpacking Brazil’s Data Leak Surge

The exploitation of leaked personally identifiable information (PII) has become a key enabler of social engineering attacks. While dark markets are commonly associated to traditional dark Web forums, Telegram emerges as an easy-to-use meeting place for users and vendors. This study investigates a specific ecosystem within Telegram known as ”Pull Groups” (PG), where large amounts of sensitive personal data are requested and shared. During a six-month monitoring period, we systematically collected and analyzed data, extracting more than 12 million PII records. To assess the potential impact of this exposure, we propose the Leak Exposure Index (LEI), which combines the leak volume with he group size to highlight high-risk environments. Our findings show that a small set of groups are responsible for the majority of leaked data, underlining the need for countermeasures and informed risk assessment strategies. This is also a call for public awareness of this threat.

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Publication Details

Published
2025-09-01
DOI
https://doi.org/10.5753/sbseg.2025.9824
Primary Topic
Internet Traffic Analysis and Secure E-voting
Type
article
Field-Weighted Citation Impact
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article

Telegram’s Dark Trade: Unpacking Brazil’s Data Leak Surge

Manuel Sánchez Rubio, Yuri do A. N. Maia
Internet Traffic Analysis and Secure E-voting
article

Telegram’s Dark Trade: Unpacking Brazil’s Data Leak Surge

Manuel Sánchez Rubio, Yuri do A. N. Maia
article en

Abstract

The exploitation of leaked personally identifiable information (PII) has become a key enabler of social engineering attacks. While dark markets are commonly associated to traditional dark Web forums, Telegram emerges as an easy-to-use meeting place for users and vendors. This study investigates a specific ecosystem within Telegram known as ”Pull Groups” (PG), where large amounts of sensitive personal data are requested and shared. During a six-month monitoring period, we systematically collected and analyzed data, extracting more than 12 million PII records. To assess the potential impact of this exposure, we propose the Leak Exposure Index (LEI), which combines the leak volume with he group size to highlight high-risk environments. Our findings show that a small set of groups are responsible for the majority of leaked data, underlining the need for countermeasures and informed risk assessment strategies. This is also a call for public awareness of this threat.

Universidad Alejandro de Humboldt (VE)
Openalex Percentile: Top 87%
Internet Traffic Analysis and Secure E-voting
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Telegram’s Dark Trade: Unpacking Brazil’s Data Leak Surge — Manuel Sánchez Rubio, Yuri do A. N. Maia · (2025) | TGRS Research Map | TGRS