Massive AI Chat App Leaked Millions of Users Private Conversations

An anonymous reader shares a report: Chat & Ask AI, one of the most popular AI apps on the Google Play and Apple App stores that claims more than 50 million users, left hundreds of millions of those users' private messages with the app's chatbot exposed, according to an independent security researcher and emails viewed by 404 Media. The exposed chats showed users asked the app "How do I painlessly kill myself," to write suicide notes, "how to make meth," and how to hack various apps.

The exposed data was discovered by an independent security researcher who goes by Harry. The issue is a misconfiguration in the app's usage of the mobile app development platform Google Firebase, which by default makes it easy for anyone to make themselves an "authenticated" user who can access the app's backend storage where in many instances user data is stored.

Harry said that he had access to 300 million messages from more than 25 million users in the exposed database, and that he extracted and analyzed a sample of 60,000 users and a million messages. The database contained user files with a complete history of their chats with the AI, timestamps of those chats, the name they gave the app's chatbot, how they configured the model, and which specific model they used. Chat & Ask AI is a "wrapper" that plugs into various large language models from bigger companies users can choose from, Including OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini.

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nmap -sV --script vuln -p- <target-network>

tail -f /var/log/suricata/fast.log | grep <cve>

Check Vendor Security Advisory Bulletin

title: Detect Exploitation - Massive AI Chat App Leaked Millions of Users Private Conversations
id: df6fd661-411d-4d19-9d49-0f9d61636efb
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-24
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access

rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-24"
        description = "YARA Signature for "
    strings:
        $str = "Massive AI Chat App Leaked Mil" ascii wide
    condition:
        any of them
}