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A threat actor using the handle "vibecodelegend" has claimed to have breached Cal AI, an AI-powered calorie-tracking app, and leaked a dataset of roughly 14.6–15 GB that allegedly contains information on more than 3 million users. Reporting indicates the data may have been obtained from a misconfigured Google Firebase instance, and researchers cited in coverage said their analysis suggests the leaked dataset appears legitimate, though Cal AI had not publicly confirmed the incident at the time of reporting.
The exposed data reportedly includes multiple files containing users’ full names, dates of birth, gender, and detailed health/fitness-related records such as height/weight entries, goals, and macronutrient targets, along with settings, subscription details, and transaction IDs. Researchers warned that the combination of contact and profile data could enable targeted social engineering and profiling of affected users; coverage also noted Cal AI’s rapid growth and visibility (including influencer sponsorship) and referenced its reported acquisition by MyFitnessPal.
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At the time the incident was reported publicly, Cal AI had not confirmed whether a breach had occurred. Reports also said the exposed data may have originated from a misconfigured Google Firebase instance.
Cybernews researchers reviewed the exposed Cal AI data and assessed it as likely authentic. They warned that the combination of contact details and health-related profile information could support profiling and targeted social engineering.
A threat actor using the handle "vibecodelegend" allegedly breached the AI calorie-tracking app Cal AI and released roughly 14.6-15 GB of user data online. The leaked dataset was reported to affect more than 3 million users and included personal, behavioral, subscription, and transaction-related information.
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Cybernews researchers reported multiple **data exposures caused by misconfigured back-end services**, including consumer mobile apps and a large unprotected database. Three widely downloaded Android AI photo identification apps—*Insect Identifier by Photo Cam*, *Dog Breed Identifier Photo Cam*, and *Spider Identifier App by Photo*—reportedly leaked more than **150,000** users’ data via a **Firebase misconfiguration** with inadequate authentication/access controls. Exposed data included email addresses, usernames, profile photos, notification tokens, and **GPS coordinates**; while passwords were not found, researchers noted the location data could enable stalking, doxxing, and targeted scams, and observed indications that automated bots had already discovered the exposed databases prior to the investigation. The apps were attributed to publisher **MobilMinds** (linked to **OZI Technologies**), and the developers reportedly did not respond to requests for comment. Separately, Cybernews identified an **unprotected Elasticsearch cluster** exposing approximately **8.7 billion records** associated with China, including names, birthdates, home addresses, national ID numbers, social media identifiers, usernames, and other account/platform details; the dataset also reportedly contained **plaintext credentials** and corporate/business records, suggesting long-term aggregation. The database’s ownership was not confirmed, but it was subsequently secured; researchers characterized the exposure as a systemic privacy risk potentially affecting hundreds of millions of individuals. Two additional items in the set describe individual bug-hunting writeups (e.g., bypassing mobile controls and abusing password reset/IDOR-style issues) but do not provide verifiable linkage to the specific Firebase/Elasticsearch exposures described above.
Jun 29, 2026
A misconfiguration in *Firebase* exposed nearly **300 million** private messages from roughly **25 million** users of the AI chatbot app **Chat & Ask AI**, after the app’s Firebase `Security Rules` were left publicly accessible. Reporting indicates the exposed data included full chat histories, bot names, and highly sensitive user prompts (including self-harm and potentially unlawful activity discussions); the issue was reported to developer **Codeway** by a researcher who also claimed to have identified similar inadvertent exposure across **103** other iOS apps, underscoring how common cloud-database misconfigurations remain as AI features are embedded into consumer applications. Separately, the **European Parliament** restricted lawmakers’ use of built-in AI tools on work devices, citing cybersecurity and privacy concerns about uploading confidential correspondence to external cloud services and uncertainty over how uploaded data may be stored, reused for model improvement, or accessed under non-EU legal authorities. In healthcare, ECRI Institute researchers warned that **AI chatbots** represent a leading 2026 health technology hazard due to safety, security, and privacy risks—particularly because many tools are not validated for clinical use—while also highlighting that IT outages (including those caused by cyberattacks) and legacy medical device issues remain major operational and patient-safety threats.
Jun 29, 2026
Multiple disclosures highlighted ongoing **data exposure risks** driven by misconfiguration and weak controls. Cybernews researchers reported that three photo-identification mobile apps exposed data for ~152,000 users due to **misconfigured Firebase** databases lacking authentication, leaking emails, usernames, profile photos, and **GPS coordinates**; evidence in the exposed data suggested automated scanning and prior access by attackers. Separately, a large-scale internet study found nearly **5 million** public web servers with accessible `.git` directories, including more than **250,000** instances exposing `.git/config`, which can contain deployment credentials and enable source-code reconstruction, secret theft, and follow-on compromise. In parallel, **software supply-chain abuse** targeted the dYdX ecosystem via malicious packages on **npm** and **PyPI** that stole wallet seed phrases and other credentials; one PyPI package also reportedly deployed a **remote access trojan** enabling code execution and theft of API credentials, SSH keys, source code, and other sensitive files, with potential for persistence and lateral movement. Separately from these incident reports, Google announced privacy-focused search features aimed at faster removal of **non-consensual explicit imagery** (including deepfakes) and expanded monitoring via *Results about you* to help users detect and request removal of exposed government ID numbers—positioned as a protective measure rather than a breach disclosure.
Jun 29, 2026