News
Data Of 700 Million LinkedIn Users Is For Sale On The Dark Web
Who would pay for this information, you wonder? Spammers, phishers, and other cybercriminals are definitely the target audience here.
The security team at LinkedIn doesn’t get much rest lately. In April, 500 million of its user’s data was exposed by hackers, and the same data collection technique was apparently used by a dark web user called TomLiner, who is currently selling 700 million LinkedIn user records (92% of all LinkedIn users) in a convenient bundle for just $5,000.
The data collection technique in question is called scraping, which is the act of extracting useful information from a website. Since any public website can be scraped using readily available tools, it wouldn’t be correct to call this incident a breach, as LinkedIn quickly pointed out.
“While we’re still investigating this issue, our initial analysis indicates that the dataset includes information scraped from LinkedIn as well as information obtained from other sources,” said Leonna Spilman, Corporate Communications Manager at LinkedIn. “This was not a LinkedIn data breach, and our investigation has determined that no private LinkedIn member data was exposed.”
So, what data has been exposed? Fortunately, no passwords or dates of birth. Here’s what a sample of one million records published by the scrapper contains:
- Email addresses
- Full names
- Phone numbers
- Physical addresses
- Geolocation records
- LinkedIn username and profile URL
- Personal and professional experience/background
- Genders
- Other social media accounts and usernames
Who would pay $5,000 for this information, you wonder? Spammers, phishers, and other cybercriminals are definitely the target audience here.
Also Read: Is Your Phone Hacked? How To Find Out & Protect Yourself
Having all this information in one place makes it much easier for them to create detailed profiles of their potential victims and launch sophisticated targeted attacks against them. Sure, they could simply scape it by themselves using LinkedIn’s own API (application program interface) just like the seller did, but cybercrime can be so profitable that their time is often more valuable.
If you have a LinkedIn account, then you should assume that your personal information is included in the dataset and act accordingly. More specifically, you should enable multi-factor authentication (MFA) and avoid replying to email messages from unknown senders, let alone opening any attachments they may contain.
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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