News
Beirut Airport Cybersecurity Incident: How It Unfolded
On Sunday January 7, Rafic Hariri International Airport’s screens began displaying political messages instead of flight information.
On Sunday evening, January 7, 2024, Beirut’s Rafic Hariri International Airport experienced a cyber attack that resulted in political messages appearing on its departure and arrival screens, disrupting normal flight information and temporarily halting luggage belt operations.
Lebanon’s Minister of Public Works and Transport, Ali Hamieh, addressed the public the following day, expressing a commitment to uncovering the perpetrators of the incident and reassuring the public that the airport remained fully operational.

Meanwhile, Fadi El-Hassan, Director General of Civil Aviation, reported that the issues with the airport’s screens had been resolved, and normal functionality had been restored across passenger terminals, including arrival and departure halls.
Despite these developments, official statements from Lebanese authorities regarding the incident were yet to be released, as investigations continued under the oversight of the Lebanese security services, as confirmed by Minister Ali Hamieh.
As of now, no information has surfaced regarding the compromise of airport data, such as flight details, passenger records, or other sensitive information. However, technical experts at SMEX, a nonprofit organization dedicated to advancing digital human rights across West Asia and North Africa, say that the severity of the cyberattack reveals clues on the motives behind it.
Also Read: The Largest Data Breaches In The Middle East
Members of SMEX’s technical team raised concerns about the cyber breach, stating, “If the perpetrators were able to manipulate screen content and disrupt the Baggage Handling System (BHS), it indicates the possible presence of malware within the compromised system”.
SMEX’s technical experts have also outlined several conceivable scenarios for the attack:
- The breach may have originated from the airport’s internal network, possibly involving the installation of malicious software by an individual with insider access to the airport’s systems.
- Another possibility is the compromise of an employee’s device through social engineering or a phishing attack, typically delivered via email or other deceptive means.
- An employee with privileged system access might have been coerced or manipulated through blackmail, bribery, or threats, facilitating unauthorized entry into the airport’s systems.
Lebanese authorities have yet to pinpoint the root cause of the airport cyberattack, leaving room for speculation about potential sources, which may include internal, external, or even governmental actors.
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.
