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Exposed UN Database Left Sensitive Data Vulnerable Online

The unsecured files contained the data of organizations combating violence against women, posing a severe risk for vulnerable groups.

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exposed un database left sensitive data vulnerable online

A United Nations Trust Fund database designed to combat violence against women was recently found openly accessible online, revealing over 115,000 files. The exposed documents included sensitive personal and organizational information from groups that partner with or receive support from UN Women and included staffing, contracts, letters, and even financial audits.

Security researcher Jeremiah Fowler discovered the unsecured database, which lacked password protection or other access controls, and promptly notified the UN, who swiftly secured the database. Fowler notes that these types of data exposures are common, but stresses the importance of maintaining awareness about such vulnerabilities:

“They’re doing incredible work, helping real people in challenging situations, but cybersecurity remains a critical issue,” Fowler explained. “I’ve found numerous examples of exposed data before, but in this case, it’s about organizations aiding people at risk simply for existing in certain regions”.

UN Women acknowledged the incident in a statement, expressing gratitude for the collaboration with cybersecurity experts and that it had launched an investigation.

The exposed data presents multiple security concerns. Financial audits in the database included bank account details, and the disclosures revealed how organizations receive and allocate their funding. Additionally, the information provided insights into staffing and internal operations, which could be exploited to trace connections between civil society organizations.

Also Read: The Top 10 Worst Cyberattacks In The Middle East Revealed

“You’ve got details on organizations, their staff, and projects with budgets in the millions,” Fowler explained. “If this information landed in the wrong hands, it could be used by scammers or even authoritarian regimes to identify which organizations are working where and who they’re collaborating with”.

Fowler expressed particular concern for the people mentioned in the database, many of whom had shared deeply personal experiences, including stories of abuse, kidnapping, and other traumatic events, likely under the assumption that their identities would remain protected.

If this incident spurs a broader review of the UN’s data security infrastructure, it could help prevent future breaches and mitigate risks for the vulnerable populations UN Women and other UN organizations serve.

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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.

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nano banana 2 arrives in mena for google gemini users
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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.

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