> ## Content Index > Fetch the complete content index at: https://darkwebinformer.com/llms.txt > Use this file to discover other available public pages before exploring further. # INBI School of English WhatsApp Data Claim Includes 3.34 Million Messages and 171,967 Phone Numbers - URL: https://darkwebinformer.com/inbi-school-of-english-whatsapp-data-claim-includes-3-34-million-messages-and-171-967-phone-numbers/ - Published: 2026-10-28T15:29:47.000Z - Updated: 2026-10-28T15:29:47.000Z - Author: Dark Web Informer - Tags: Leaks Data Exposure Report ![Mexico flag](https://flagcdn.com/w20/mx.png)Mexico Education WhatsApp Communications Published Unverified ## INBI School of English WhatsApp Data Claim Includes 3.34 Million Messages and 171,967 Phone Numbers Claimed messages3,337,394 Phone numbers171,967 CountryMexico Data typeWhatsApp messages SeverityHIGH ### Overview An actor using the handle **"libreboot2016"** claims to have published a **WhatsApp message dataset associated with INBI School of English**, a private conversational English school network in Mexico. The post states that the dataset contains **3,337,394 WhatsApp messages** and **171,967 individual mobile phone numbers** using **+52 and +1 country codes**. A visible field list includes message body, creation and sent timestamps, direction, error fields, sender and recipient fields, messaging-service identifiers, media-related fields, pricing fields, message SID, status, feedback, media metadata and URI data. **The dataset, its source, the stated counts and current availability have not been independently verified.** ### Post details OrganizationINBI School of English Country![Mexico flag](https://flagcdn.com/w20/mx.png)Mexico SectorPrivate education / English-language training Actor"libreboot2016" Claimed messages3,337,394 Claimed phone numbers171,967 Number ranges named+52 and +1 Post date shownOct 28, 2026 at 5:27 AM ### What the post claims - 3,337,394 WhatsApp messages - 171,967 individual mobile phone numbers - +52 and +1 number ranges represented - Message-body field included - Creation, sent and update timestamps included - Message-direction field included - Error-code and error-message fields included - Sender and recipient fields included - Messaging-service identifier included - Media-count and media metadata fields included - Segment-count field included - Pricing and price-unit fields included - Message SID field included - Status field included - Feedback and subresource-URI fields included - Download mirrors provided The visible field list resembles structured messaging-platform export data rather than a simple contact list. The screenshot does not show individual message contents, so the sensitivity and subject matter of the communications cannot be independently assessed from the supplied material alone. 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Those download links are not reproduced here. ### IOCs & identifiers Identifiers directly visible or supported by the supplied material. These support correlation and do not independently verify the dataset claim. | Type | Identifier | Source | | ------------------------- | ------------- | ------------ | | Actor handle | libreboot2016 | Screenshot 1 | | Named organization domain | inbi\[.\]mx | Screenshot 1 | The organization domain identifies the entity named in the claim, not malicious infrastructure. No Tox ID, Session ID, Telegram handle, malware hash or attacker-controlled IP address is visible in the supplied screenshot. Direct download mirrors shown in the source material are intentionally not reproduced here. ### Mapped techniques **Claimed** identifies behavior explicitly described by the actor. **Inferred** identifies an analytical mapping supported by the supplied material. Neither label means the activity has been independently verified. - Collection [T1213.006](https://attack.mitre.org/techniques/T1213/006/) [Data from Information Repositories: Databases](https://attack.mitre.org/techniques/T1213/006/) Inferred The listing presents a structured message dataset containing communications metadata and phone-number information. The supplied material does not reveal how the data was obtained or independently establish unauthorized access to INBI systems. ### Potential impact If authentic, the claimed dataset could expose **large-scale messaging metadata, mobile phone numbers and potentially the content of communications involving students, prospects, graduates or staff**. Depending on the underlying message bodies, the material could enable targeted phishing, impersonation, spam, social engineering or significant privacy violations. ### Status Unverified Dark Web Informer has **not independently verified** the dataset's authenticity, source, completeness, 3,337,394-message count, 171,967-number count or current availability. The supplied screenshot documents the listing and visible field structure, not independent confirmation of the underlying data. Want everything on this threat? **Paid subscribers** get the full unredacted claim details and more. After subscribing, check out the [threat feed](https://darkwebinformer.com/threat-feed/?utm%5Fsource=alert&utm%5Fmedium=card&utm%5Fcampaign=inbi-whatsapp-data-leak-2026-10-28&utm%5Fcontent=threat-feed) and search there for this alert. 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