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100K+ Compromised ChatGPT Accounts Found On Dark Web

Egypt, Morocco, and Algeria top the list in the Middle Eastern region.

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100k+ compromised chatgpt accounts found on dark web

Global cybersecurity leader Group-IB has identified 101,134 infected devices with saved ChatGPT credentials. Throughout 2023, the company’s Threat Intelligence Platform found compromised account details in 26,802 malware logs traded on dark web marketplaces.

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According to Group-IB’s findings, the Asia-Pacific region suffered the greatest concentration of ChatGPT credentials offered for sale, followed by the Middle East and Africa (MEA) region in second place.

Group-IB tech experts explained that when employees take advantage of ChatGPT to optimize business communications and marketing texts, the queries and responses are stored within the AI app. Consequently, any unauthorized access to a ChatGPT account could unearth a wealth of sensitive information.

Also Read: The Largest Data Breaches In The Middle East

Group-IB’s dark web analysis revealed that most compromised ChatGPT accounts were breached by a popular malware program known as “Raccoon Info Stealer”. The virus is often sent by email and can be used by hackers to gain access to sensitive data stored in internet browsers.

In the MENA area, accounts from users in Egypt, Morocco, Algeria, and Turkey topped the “most-infected” list, potentially exposing companies in the region to multiple threat actors.

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“Many enterprises are integrating ChatGPT into their operational flow,” explained Dmitry Shestakov, Head of Threat Intelligence at Group-IB. “Employees enter classified correspondences or use the bot to optimize proprietary code. Given that ChatGPT’s standard configuration retains all conversations, this could inadvertently offer a trove of sensitive intelligence to threat actors if they obtain account credentials. At Group-IB, we continuously monitor underground communities to identify such accounts promptly”.

To mitigate the risks posed by compromised ChatGPT accounts, Group-IB suggests that users update passwords using current best practices while also implementing two-factor authentication.

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UAE-Built Falcon-H1 Arabic Leads LLM Benchmarks

The lean Emirati-built language model beats larger global systems and puts Arabic at the center of training.

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uae-built falcon-h1 arabic leads llm benchmarks
Abu Dhabi Technology Innovation Institute

Abu Dhabi’s Technology Innovation Institute has released an Arabic-first large language model that tops global test boards, an uncommon edge for a region long served by English-centric systems.

Falcon-H1 Arabic comes in 3B, 7B and 34B versions. The flagship posts 75.36% accuracy on comprehensive Arabic tasks and ranks first on the Open Arabic LLM Leaderboard. It also outperforms Meta’s Llama-70B and Alibaba’s Qwen-72B while using less than half their parameters. The smallest model beats Microsoft’s Phi-4 Mini by ten percentage points on equivalent benchmarks.

Arabic remains hard territory for AI. Flexible word order, dense morphology and constant switching between regional dialects and Modern Standard Arabic leave many global models missing context or tone. Academic research has pointed to a shortage of annotated datasets for dialect and informal speech. The impact shows up in classrooms, call centers and government portals where Arabic chatbots lag their English counterparts.

TII trained Falcon-H1 Arabic on formal writing, dialects and culturally grounded content. Beyond scores, it handles practical use: long conversations, reasoning rather than literal translation, and inputs of up to 192,000 words — enough for medical records or legal filings.

“The aim is innovation that is accessible, relevant, and impactful,” said Faisal Al Bannai, Adviser to the UAE President and Secretary-General of the Advanced Technology Research Council.

Also Read: Governata Raises $4M For Saudi AI Data-Governance Push

Arabic is spoken by more than 450 million people across over 20 countries, yet has often been treated as a secondary language for foundation models. The UAE move signals a push to flip that logic and build Arabic-native stacks rather than wait for global systems to improve.

Falcon models have led their categories since 2023. With H1 Arabic, TII is offering free access via chat.falconllm.tii.ae for developers, media, healthcare and public-sector users looking to automate in natural Arabic.

As the region continues to invest in sovereign computing and data localization, the addition of Falcon-H1 Arabic adds a powerful tool built for the native language, instead of an afterthought attached to an English-trained system.

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