Impact & Downstream Threats
This breach carries high risk due to the nature of exposed data fields and the scale of affected records.
- Identity verification bypass using name + date of birth combination
- SIM swap attacks where phone numbers are present
- Targeted phishing campaigns using exposed email addresses
- Doxxing risk from physical address exposure
- Social media account targeting and impersonation
Breach Intelligence
Executive Summary
In December 2017, the virtual keyboard application ai.type was found to have left a huge amount of data publicly facing in an unsecured MongoDB instance. Discovered by researchers at The Kromtech Security Center, the 577GB data set included extensive personal information including over 20 million unique email addresses, social media profiles and address book contacts. The email addresses alone were provided to HIBP to enable impacted users to assess their exposure.
About ai.type
ai.type is an organization whose data was exposed in this breach. The dataset has been verified by ObscureIQ intelligence and indexed across breach notification platforms.
Data Points Exposed
Dark Web Verification
Status: Confirmed
- Dataset containing approximately 72.7M records identified in breach intelligence sources.
- The data is indexed and searchable across breach notification platforms.
Recommended Actions
⚠️ Do not assume this is low sensitivity.
Non-clients may request a breach impact review.
Frequently Asked Questions
In December 2017, ai.type experienced a data breach that exposed approximately 72.7M records containing personal information.
The exposed data includes fields such as address book contacts, cellular network, date of birth, device information, email address.
Approximately 72.7M records were affected based on current breach intelligence.
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ObscureIQ Advisory
We combine proprietary dark web access with commercial and restricted breach intelligence to verify exposure and assess real-world risk.
- A public-facing individual
- A high-profile executive
- A customer of ai.type
- Or concerned about credential reuse
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