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GitBait: Phishing targeting the Mexican financial sector

0
Medium
Published: 06/18/2026 (06/18/2026, 10:09:52 UTC)
Source: AlienVault OTX General

Description

A sophisticated, modular phishing infrastructure has been identified targeting at least 12 Mexican financial institutions over a three-year period. The operation leverages GitHub Pages for hosting and SheetBest API for credential exfiltration, eliminating the need for dedicated backend infrastructure. Attackers employ obfuscated JavaScript, randomized paths, and dynamic brand selection panels to impersonate legitimate banking portals. Over 100 associated domains were identified, each hosting multiple phishing pages across different paths. Credentials are collected through multi-stage forms mimicking authentic banking authentication flows and exfiltrated in real-time to attacker-controlled Google Sheets. An alternative exfiltration method via Telegram bot was also observed. The campaign demonstrates operational persistence with multiple operator accounts maintaining the infrastructure through continuous commits and updates.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 06/18/2026, 20:35:14 UTC

Technical Analysis

This threat involves a sophisticated phishing infrastructure named GitBait that targets Mexican financial institutions. It leverages serverless hosting on GitHub Pages and the SheetBest API for credential exfiltration, avoiding the need for dedicated backend servers. Attackers use obfuscated JavaScript, randomized paths, and dynamic brand selection panels to convincingly impersonate legitimate banking portals. The campaign operates over 100 domains, each hosting multiple phishing pages, and collects credentials via multi-stage forms that mimic real banking authentication processes. Stolen credentials are exfiltrated in real-time to attacker-controlled Google Sheets, with an alternative exfiltration channel via a Telegram bot. The operation has persisted for at least three years, maintained by multiple operator accounts through continuous commits and updates.

Potential Impact

The campaign enables attackers to harvest credentials from customers of targeted Mexican financial institutions, potentially leading to unauthorized access to banking accounts and financial fraud. The use of legitimate hosting (GitHub Pages) and real-time exfiltration to Google Sheets complicates detection and takedown efforts. The persistence and modularity of the infrastructure increase the operational resilience of the phishing campaign.

Mitigation Recommendations

No official patch or fix applies as this is a phishing campaign rather than a software vulnerability. Defenders should focus on user awareness training to recognize phishing attempts, implement multi-factor authentication to reduce the impact of credential theft, and monitor for suspicious domains and URLs related to this campaign. Blocking known phishing domains and URLs identified in threat intelligence feeds can help reduce exposure. Since the campaign abuses GitHub Pages and SheetBest API, monitoring for abuse of these services may assist in early detection. There is no vendor patch; mitigation relies on detection and user protection measures.

Affected Countries

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Technical Details

Author
AlienVault
Tlp
white
References
["https://www.group-ib.com/blog/gitbait-phishing-mexico-banking-finance-es/"]
Adversary
null
Pulse Id
6a33c3f0081d62e3b09eaf65
Threat Score
null

Indicators of Compromise

Url

ValueDescriptionCopy
urlhttps://api.sheetbest.com/sheets/0e2a1336-e971-496f-9eb2-cd8dcd25565c
urlhttps://api.sheetbest.com/sheets/47edba58-31f7-41e6-af18-31c77046dee1
urlhttps://api.sheetbest.com/sheets/578ad828-fc67-4447-9182-197f92c1f302
urlhttps://api.sheetbest.com/sheets/db4a7782-bc66-4a99-875b-ede99744f3fe
urlhttps://api.sheetbest.com/sheets/f2958fbe-cdd7-4796-a4e4-19539d759a9f
urlhttps://api.sheetbest.com/sheets/fe9f1e2d-16c9-4d92-9bdf-8425921ac073

Threat ID: 6a345308f198dc38c17d1137

Added to database: 06/18/2026, 20:20:24 UTC

Last enriched: 06/18/2026, 20:35:14 UTC

Last updated: 08/01/2026, 17:11:40 UTC

Views: 167

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