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Log4j Vulnerably To Wreak Havoc On The Internet For Years To Come
Because of how widespread Log4j is, experts estimate that it may take years to hunt down all vulnerable instances and patch them.
As if one pandemic wasn’t enough, there’s now also a cyber-pandemic whose scale is increasing at an exponential rate. The cause of this digital pandemic is a zero-day vulnerability in Java-based logging utility called Log4j. This open-source software allows software developers to log data within their applications, and it has been widely used since its release in 2001.
The vulnerability was disclosed on December 9 by the Alibaba Cloud Security Team, which named it Log4Shell (CVE-2021-44228). Two days later, cybersecurity company Tenable described it as “the single biggest, most critical vulnerability of the last decade”.
Since then, the vulnerability has affected many major tech players, including Amazon Web Services, Adobe, Broadcom, Cisco, Docker, F-Secure, IBM, Juniper Networks, Oracle, Red Hat, Siemens, SolarWinds, Sophos, Ubiquiti, Zoho, and others.
“It’s ubiquitous” said Chris Eng, chief research officer at cybersecurity firm Veracode, in an interview for CNN Business. Even if you’re a developer who doesn’t use Log4j directly, you might still be running the vulnerable code because one of the open-source libraries you use depends on Log4j”.
In addition to affecting large swaths of the global IT infrastructure, the Log4Shell vulnerability is also extremely severe because it involves arbitrary code execution. In other words, it makes it possible for attackers to make the vulnerable system do anything they want.
That’s why the Cybersecurity and Infrastructure Security Agency (CISA), the Canadian Centre for Cyber Security (CCCS), and Germany’s Bundesamt für Sicherheit in der Informationstechnik (BSI) have all called on organizations to take on immediate action and install the available fixes, which were released three days before the vulnerability was published.
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Still, attackers have already successfully exploited the vulnerability to steal sensitive data, extract system credentials, install backdoors, and run crypto miners. Some of the largest botnets in the world are now scanning for the vulnerability, and almost half of all corporate networks have already been probed.
Because of how widespread Log4j is, experts estimate that it may take years to hunt down all vulnerable instances and patch them. Until that happens, cybercriminals will be on a hunt as well, ready to exploit them.
News
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.
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.
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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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