News
WhatsApp Hacker Is Selling Over 150 Million MENA Numbers
The database contains nearly 500 million phone numbers from users worldwide, and is being sold on a community hacking forum.
According to Cybernews, a research-based online publication, a hacker is selling the phone numbers of nearly 500 million WhatsApp users on the Dark Web — a figure which includes over 150 million from across the MENA region.
The data from the breach was posted by a user on a hacking community forum, and Cybernews has sampled the data and confirmed that it’s legitimate.
The reported database contains recent (2022) WhatsApp user information from 84 countries, with millions of phone numbers listed from the USA, UK, France, Italy, Spain, Egypt, and many more.
Of particular interest to readers of Tech Magazine will be that nearly 7 million of the hacked numbers belong to UAE residents, just under 2 million are from Lebanon, and a massive 28.8 million are owned by users from Saudi Arabia.
We don’t know what the MENA phone numbers are valued at, but it’s reported that USA user information is being sold for $7,000, while UK and German datasets have $2,500 and $2,000 price tags, respectively.
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After digging a little further into the details of the hack, Cybernews stated that the numbers harvested belong to active WhatsApp users and the data was obtained by scraping, which is thought to violate the app’s Terms of Service.
“In this age, we all leave a sizable digital footprint, and tech giants like Meta should take all precautions and means to safeguard that data,” says Mantas Sasnauskas, Head of the Cybernews Research Team.
Leaked phone numbers often fetch high prices on the Dark Web, as they can be used for marketing purposes, fraud and impersonation.
News
Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
Nano Banana 2 Arrives In MENA For Google Gemini Users
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