Grupo hacktivista

BSZ Team

BSZ Team is assessed as a Mexico-linked online group or loose cluster operating around the “BSZ” brand, with public-facing infrastructure distributed across GitHub, Telegram and forum-style domains. The public footprint points less to a mature intrusion set and more to a small digital ecosystem combining hacking identity, tool publication, forum/community activity, doxxing-adjacent branding, sales-oriented channels and self-promotional infrastructure.

The strongest open-source anchors are the AvastrOficial GitHub profile and README, which list Mexico (“mx”), BSZ-associated domains, a Telegram group identified as BszHackersOficial, and aliases including “Bsz Hackers.” Additional public posts from OIHEC on X accuse BSZ Team of doxxing, cybercrime, carding and links to DRS Team, but these claims are adversarial third-party statements and should not be treated as independently validated criminal attribution without supporting telemetry or primary evidence.

INFERENCE (confidence: medium): BSZ Team appears to sit in the gray zone between cyber identity-building, community tooling, low-tier OSINT/doxxing activity and possible cybercrime-adjacent monetization. The cluster’s public infrastructure suggests capability in basic web presence, lightweight tools and social-channel organization, but there is no strong public evidence of advanced intrusion capability, malware operations, ransomware activity, state sponsorship or strategic targeting.

Overall confidence is medium-low. The existence of BSZ-branded infrastructure is well supported by public OSINT; allegations of doxxing/carding/cybercrime are visible but require conservative handling. Any operational use should separate confirmed infrastructure from unverified accusations.

Creado por iQBlack CTI Team
Colaboradores 1
Última actualización 2026-08-21

ATT&CK

MITRE ATT&CK

T1491.002External Defacement
T1583.001Domains
T1585.001Social Media Accounts
T1589Gather Victim Identity Information
T1593Search Open Websites/Domains
T1598Phishing for Information

Research

OSINT seleccionado