News
Twitter Admits Data Breach Compromised Anonymous Accounts
Twitter has released an official statement admitting that it was unable to confirm the number of profiles exposed, but expects the figure to top 5.4 million.
Twitter has released a statement acknowledging that in December 2020, a coding error resulted in a data breach of user information. A hacker exploited the flaw before it was discovered and subsequently patched in January 2022.
The vulnerability allowed malicious actors to submit an email address or phone number to verify if it was associated with an existing Twitter account. Hackers could then access the associated account ID, linking the information together.
A researcher uncovered the coding flaw through Twitter’s Bug Bounty program. The social media giant claimed that the vulnerability hadn’t been exploited before engineers were made aware of the issue. However, a hacker who contacted the website Bleeping Computer disputed the official narrative, claiming to have gained access to over 5.4 million user accounts via the flawed code and offering to sell the data for $30,000.

After reviewing the compiled database, Twitter responded with an official statement:
“Because we can’t verify every account that may have been affected, we’re releasing this alert because we’re particularly concerned about people using pseudonymous accounts who may be targeted by the state or other actors. If you use a pseudonymous Twitter account, we realize the hazards that an occurrence like this might bring and we profoundly regret that this happened.”
Also Read: Report Highlights $7.45 Million In Damages From Data Breaches Across The Middle East
Owners of accounts that have been compromised due to the data breach will be notified by direct message from Twitter, with the company advising those who wish to remain anonymous online not to associate a publicly available email or phone number with their account.
Because two or more individuals have already purchased and gained access to the leaked data, users should be wary of targeted phishing scams trying to gain access to login credentials. Although no passwords were revealed during the initial breach, Twitter advises all users to adopt two-factor authentication for an extra layer of security.
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.
Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics
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.
