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StreamElements Confirms Data Exposure via Former Third-Party Provider

Cloud-based streaming tools provider StreamElements has acknowledged a data breach stemming from a third-party service it previously collabo...

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US Organisations
Chinese Hacker Cyber Attacks FamousSparrow SparrowDoor US Organisations

China’s FamousSparrow APT Hits United States Via SparrowDoor Malware

 

A China-linked cyberespionage gang known as 'FamousSparrow' was caught utilising a new modular version of its signature backdoor 'SparrowDoor' against a US-based trade organisation. Security experts at ESET spotted the activities and new malware version, uncovering evidence that the attacker has been more active than previously anticipated since its last operations were reported in 2022. 

Apart from the financial organisation, ESET identified and linked further recent attacks to FamousSparrow, including a Mexican research facility and a Honduran government entity. In all of these incidents, initial access was acquired by exploiting obsolete Microsoft Exchange and Windows Server endpoints and infecting them with webshells. 

New modular SparrowDoor

ESET's investigation revealed two new variants of the SparrowDoor backdoor. The first is identical to a backdoor credited to 'Earth Estries,' with enhanced code quality, architecture, encrypted configuration, persistence methods, and stealthy command-and-control (C2) switching. A critical new feature that applies to both new versions is parallel command execution, which allows the backdoor to continue listening for and processing incoming commands while executing prior ones. 

"Both versions of SparrowDoor used in this campaign constitute considerable advances in code quality and architecture compared to older ones," reads the ESET report. "The most significant change is the parallelization of time-consuming commands, such as file I/O and the interactive shell. This allows the backdoor to continue handling new commands while those tasks are performed.” 

The latest version, which is a modular backdoor with a plugin-based architecture, includes the most significant modifications. Its operating capabilities can be expanded while staying covert and undetectable by receiving additional plugins from the C2 at runtime, which are fully loaded in memory. 

ShadowPad link 

Another notable finding in ESET's analysis is FamousSparrow's use of ShadowPad, a sophisticated modular remote access trojan (RAT) linked to various Chinese APTs.

In the attacks seen by the researchers, ShadowPad was loaded via DLL side-loading from a renamed Microsoft Office IME executable, injected into the Windows media player (wmplayer.exe) process, and linked to a known C2 server associated with the RAT. This suggests that FamousSparrow, like other state-sponsored entities, may now have access to advanced Chinese cyber tools.

According to ESET, Microsoft classifies Earth Estries, GhostEmperor, and FamousSparrow under a single threat cluster they refer to as Salt Typhoon. ESET tracks them as separate categories because there isn't any technical evidence to support this. It acknowledges, meanwhile, that their tools share code, exploitation strategies, and some infrastructure reuse. 

These overlaps, according to ESET, are indicators of a common third-party supplier, sometimes known as a "digital quartermaster," who supports and lurks behind all of these Chinese attack groups.
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encryption technology
AI Privacy AI Systems AI technology AI Tool Cryptography Cyber Security Data Privacy Deep Learning encryption technology

Orion Brings Fully Homomorphic Encryption to Deep Learning for AI Privacy

 

As data privacy becomes an increasing concern, a new artificial intelligence (AI) encryption breakthrough could transform how sensitive information is handled. Researchers Austin Ebel, Karthik Garimella, and Assistant Professor Brandon Reagen have developed Orion, a framework that integrates fully homomorphic encryption (FHE) into deep learning. 

This advancement allows AI systems to analyze encrypted data without decrypting it, ensuring privacy throughout the process. FHE has long been considered a major breakthrough in cryptography because it enables computations on encrypted information while keeping it secure. However, applying this method to deep learning has been challenging due to the heavy computational requirements and technical constraints. Orion addresses these challenges by automating the conversion of deep learning models into FHE-compatible formats. 

The researchers’ study, recently published on arXiv and set to be presented at the 2025 ACM International Conference on Architectural Support for Programming Languages and Operating Systems, highlights Orion’s ability to make privacy-focused AI more practical. One of the biggest concerns in AI today is that machine learning models require direct access to user data, raising serious privacy risks. Orion eliminates this issue by allowing AI to function without exposing sensitive information. The framework is built to work with PyTorch, a widely used machine learning library, making it easier for developers to integrate FHE into existing models. 

Orion also introduces optimization techniques that reduce computational burdens, making privacy-preserving AI more efficient and scalable. Orion has demonstrated notable performance improvements, achieving speeds 2.38 times faster than previous FHE deep learning methods. The researchers successfully implemented high-resolution object detection using the YOLO-v1 model, which contains 139 million parameters—a scale previously considered impractical for FHE. This progress suggests Orion could enable encrypted AI applications in sectors like healthcare, finance, and cybersecurity, where protecting user data is essential. 

A key advantage of Orion is its accessibility. Traditional FHE implementations require specialized knowledge, making them difficult to adopt. Orion simplifies the process, allowing more developers to use the technology without extensive training. By open-sourcing the framework, the research team hopes to encourage further innovation and adoption. As AI continues to expand into everyday life, advancements like Orion could help ensure that technological progress does not come at the cost of privacy and security.
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Technology
Artificial Intelligence ChatGPT CyberCrime Cybersecurity CyberThreat DeepSeek Google OpenAI Technology

DeepSeek Revives China's Tech Industry, Challenging Western Giants

 



As a result of DeepSeek's emergence, the global landscape for artificial intelligence (AI) has been profoundly affected, going way beyond initial media coverage. AI-driven businesses, semiconductor manufacturing, data centres and energy infrastructure all benefit from its advancements, which are transforming the dynamics of the industry and impacting valuations across key sectors. 


DeepSeek's R1 model is one of the defining characteristics of its success, and it represents one of the technological milestones of the company. This breakthrough system can rival leading Western artificial intelligence models while using significantly fewer resources to operate. Despite conventional assumptions that Western dominance in artificial intelligence remains, Chinese R1 models demonstrate China's growing capacity to compete at the highest level of innovation at the highest levels in AI. 

The R1 model is both efficient and sophisticated. Among the many disruptive forces in artificial intelligence, DeepSeek has established itself as one of the most efficient, scalable, and cost-effective systems on the market. It is built on a Mixture of Experts (MoE) architecture, which optimizes resource allocation by utilizing only relevant subnetworks to enhance performance and reduce computational costs at the same time. 

DeepSeek's innovation places it at the forefront of a global AI race, challenging Western dominance and influencing industry trends, investment strategies, and geopolitical competition while influencing industry trends. Even though its impact has spanned a wide range of industries, from technology and finance to energy, there is no doubt that a shift toward a decentralized AI ecosystem has taken place. 

As a result of DeepSeek's accomplishments, a turning point has been reached in the development of artificial intelligence worldwide, emphasizing the fact that China is capable of rivalling and even surpassing established technological leaders in certain fields. There is a shift indicating the emergence of a decentralized AI ecosystem in which innovation is increasingly spread throughout multiple regions rather than being concentrated in Western markets alone. 

Changing power balances in artificial intelligence research, commercialization, and industrial applications are likely to be altered as a result of the intensifying competition that is likely to persist. China's technology industry has experienced a wave of rapid innovation as a result of the emergence of DeepSeek as one of the most formidable competitors in artificial intelligence (AI). As a result of DeepSeek’s alleged victory over OpenAI last January, leading Chinese companies have launched several AI-based solutions based on a cost-effective artificial intelligence model developed at a fraction of conventional costs. 

The surge in artificial intelligence development poses a direct threat to both OpenAI and Alphabet Inc.’s Google, as well as the greater AI ecosystem that exists in Western nations. Over the past two weeks, major Chinese companies have unveiled no less than ten significant AI products or upgrades, demonstrating a strong commitment to redefining global AI competition. In addition to DeepSeek's technological achievements, this rapid succession of advancements was not simply a reaction to that achievement, but rather a concerted effort to set new standards for the global AI community. 

According to Baidu Inc., it has launched a new product called the Ernie X1 as a direct rival to DeepSeek's R1, while Alibaba Group Holding Ltd has announced several enhancements to its artificial intelligence reasoning model. At the same time, Tencent Holdings Ltd. has revealed its strategic AI roadmap, presenting its own alternative to the R1 model, and Ant Group Co. has revealed research that indicated domestically produced chips can be used to cut costs by up to 20 per cent. 

A new version of DeepSeek was unveiled by DeepSeek, a company that continues to grow, while Meituan, a company widely recognized as being the world's largest meal delivery platform, has made significant investment in artificial intelligence. As China has become increasingly reliant on open-source artificial intelligence development, established Western technology companies are being pressured to reassess their business strategies as a result. 

According to OpenAI, as a response to DeepSeek’s success, the company is considering a hybrid approach that may include freeing up certain technologies, while at the same time contemplating substantial increases in prices for its most advanced artificial intelligence models. There is also a chance that the widespread adoption of cost-effective AI solutions could have profound effects on the semiconductor industry in general, potentially hurting Nvidia's profits as well. 

Analysts expect that as DeepSeek's economic AI model gains traction, it may become inevitable that leading AI chip manufacturers' valuations are adjusted. Chinese artificial intelligence innovation is on the rise at a rapid pace, underscoring a fundamental shift in the global technology landscape. In the world of artificial intelligence, Chinese firms are increasingly asserting their dominance, while Western firms are facing mounting challenges in maintaining their dominance. 

As the long-term consequences of this shift remain undefined, the current competitive dynamic within China's AI sector indicates an emerging competitive dynamic that could potentially reshape the future of artificial intelligence worldwide. The advancements in task distribution and processing of DeepSeek have allowed it to introduce a highly cost-effective way to deploy artificial intelligence (AI). Using computational efficiency, the company was able to develop its AI model for around $5.6 million, a substantial savings compared to the $100 million or more that Western competitors typically require to develop a similar AI model. 

By introducing a resource-efficient and sustainable alternative to traditional models of artificial intelligence, this breakthrough has the potential to redefine the economic landscape of artificial intelligence. As a result of its ability to minimize reliance on high-performance computing resources, DeepSeekcano reduces costs by reducing the number of graphics processing units (GPUs) used. As a result, the model operates with a reduced number of graphics processing unit (GPU) hours, resulting in a significant reduction in hardware and energy consumption. 

Although the United States has continued to place sanctions against microchips, restricting China's access to advanced semiconductor technologies, DeepSeek has managed to overcome these obstacles by using innovative technological solutions. It is through this resilience that we can demonstrate that, even in challenging regulatory and technological environments, it is possible to continue to develop artificial intelligence. DeepSeek's cost-effective approach influences the broader market trends beyond AI development, and it has been shown to have an impact beyond AI development. 

During the last few years, a decline in the share price of Nvidia, one of the leading manufacturers of artificial intelligence chips, has occurred as a result of the move toward lower-cost computation. It is because of this market adjustment, which Apple was able to regain its position as the world's most valuable company by market capitalization. The impact of DeepSeek's innovations extends beyond financial markets, as its AI model requires fewer computations and operates with a lower level of data input, so it does not rely on expensive computers and big data centres to function. 

The result of this is not only a lower infrastructure cost but also a lower electricity consumption, which makes AI deployments more energy-efficient. As AI-driven industries continue to evolve, DeepSeek's model may catalyze a broader shift toward more sustainable, cost-effective AI solutions. The rapid advancement of technology in China has gone far beyond just participating in the DeepSeek trend. The AI models developed by Chinese developers, which are largely open-source, are collectively positioned as a concerted effort to set global benchmarks and gain a larger share of the international market. 

Even though it is still unclear whether or not these innovations will ultimately surpass the capabilities of the Western counterparts of these innovations, a significant amount of pressure is being exerted on the business models of the leading technology companies in the United States as a result of them. It is for this reason that OpenAI is attempting to maintain a strategic balance in its work. As a result, the company is contemplating the possibility of releasing certain aspects of its technology as open-source software, as inspired by DeepSeek's success with open-source software. 

Furthermore, it may also contemplate charging higher fees for its most advanced services and products. ASeveralindustry analysts, including Amr Awadallah, the founder and CEO of Vectara Inc., advocate the spread of DeepSeek's cost-effective model. If premium chip manufacturers, such as Nvidia, are adversely affected by this trend,theyt will likely have to adjust market valuations, causing premium chip manufacturers to lose profit margins.
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Technology
AI Alibaba China Cloud DeepSeek GenAI Technology

Alibaba Launches Latest Open-source AI Model from Qwen Series for ‘Cost-effective AI agents’

Alibaba Launches Lates Open-source AI Model from Qwen Series for ‘Cost-effective AI agents’

Last week, Alibaba Cloud launched its latest AI model in its “Qwen series,” as large language model (LLM) competition in China continues to intensify after the launch of famous “DeepSeek” AI.

The latest "Qwen2.5-Omni-7B" is a multimodal model- it can process inputs like audio/video, text, and images- while also creating real-time text and natural speech responses, Alibaba’s cloud website reports. It also said that the model can be used on edge devices such as smartphones, providing higher efficiency without giving up on performance. 

According to Alibaba, the “unique combination makes it the perfect foundation for developing agile, cost-effective AI agents that deliver tangible value, especially intelligent voice applications.” For instance, the AI can be used to assist visually impaired individuals to navigate their environment via real-time audio description. 

The latest model is open-sourced on forums GitHub and Hugging Face, after a rising trend in China post DeepSeek breakthrough R1 model open-source. Open-source means a software in which the source code is created freely on web for potential modification and redistribution. 

In recent years, Alibaba claims it has open-sourced more that 200 generative AI models. In the noise of China’s AI dominance intensified by DeepSeek due to its shoe string budget and capabilities, Alibaba and genAI competitors are also releasing new, cost-cutting models and services an exceptional case.

Last week, Chinese tech mammoth Baidu launched a new multimodal foundational model and its first reasoning-based model. Likewise, Alibaba introduced its updated Qwen 2.5 AI model in January and also launched a new variant of its AI assistant tool Quark this month. 

Alibaba has also made strong commitments to its AI plan, recently, it announced a plan to put $53 billion in its cloud computing and AI infrastructure over the next three years, even surpassing its spending in the space over the past decade. 

CNBC talked with Kai Wang, Asia Senior equity analyst at Morningstar, Mr Kai told CNBC that “large Chinese tech players such as Alibaba, which build data centers to meet the computing needs of AI in addition to building their own LLMs, are well positioned to benefit from China's post-DeepSeek AI boom.” According to CNBC, “Alibaba secured a major win for its AI business last month when it confirmed that the company was partnering with Apple to roll out AI integration for iPhones sold in China.”

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Trojan
Android Banking Trojan malware Malware Attack News Trojan

New Android Banking Trojan 'Crocodilus' Emerges as Sophisticated Threat in Spain and Turkey

 

A newly identified Android banking malware named Crocodilus is making waves in the cybersecurity world, with experts warning about its advanced capabilities and targeted attacks in Spain and Turkey. Discovered by Dutch mobile security firm ThreatFabric, the malware represents a major leap in sophistication, emerging not as a prototype but as a fully-developed threat capable of device takeover, remote control, and stealth data harvesting through accessibility services. 

Unlike many early-stage banking trojans, Crocodilus comes armed with a broad range of functionalities from its inception. Masquerading as Google Chrome via a misleading package name ("quizzical.washbowl.calamity"), the malware bypasses Android 13+ restrictions and initiates its attack by requesting accessibility permissions. Once granted, it connects to a command-and-control (C2) server to receive a list of targeted financial applications and corresponding HTML overlays to steal login credentials. 

The malware also targets cryptocurrency users with a unique social engineering strategy. Instead of spoofing wallet login pages, it pushes alarming messages urging users to back up their seed phrases within 12 hours or risk losing access. This manipulative tactic prompts victims to expose their seed phrases, which are then harvested via accessibility logging—giving attackers full access to the wallets. 

Crocodilus operates continuously in the background, monitoring app launches, capturing screen elements, and even intercepting one-time passwords from apps like Google Authenticator. It conceals its malicious activity by muting sounds and deploying a black screen overlay to keep users unaware. Key features include launching apps, removing itself from devices, sending SMS messages, retrieving contacts, requesting device admin rights, enabling keylogging, and modifying SMS management privileges. The malware’s ability to dynamically update C2 server settings further enhances its adaptability. 

ThreatFabric notes that the malware’s sophistication, especially in its initial version, suggests a seasoned developer behind its creation—likely Turkish-speaking, based on code analysis. The emergence of Crocodilus underscores the evolving threat landscape of mobile banking malware, where adversaries are deploying complex and evasive techniques earlier in development cycles. In a related development, Forcepoint reported a separate phishing campaign using tax-themed emails to spread the Grandoreiro banking trojan in Latin America and Spain, indicating a broader uptick in banking malware activity across platforms and regions.
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VPN
AI Cyber Attacks cyber resilience Internet phishing VPN

Experts Suggest Evolving Cyber Attacks Not Ending Anytime Soon

Experts Suggest Evolving Cyber Attacks Not Ending Anytime Soon

In a series of unfortunate events, experts suggest the advancement of cybercrime isn’t ending anytime soon.

Every day, the digital landscape evolves, thanks to innovations and technological advancements. Despite this growth, it suffers from a few roadblocks, cybercrime being a major one and not showing signs of ending anytime soon. Artificial Intelligence, large-scale data breaches, businesses, governments, and rising target refinement across media platforms have contributed to this problem. However, Nord VPN CTO Marijus Briedis believes, “Prevention alone is insufficient,” and we need resilience. 

VPN provider Nord VPN experienced first-hand the changing cyber threat landscape after the spike in cybercrime cases attacking Lithuania, where the company is based, in the backdrop of the Ukraine conflict. 

Why cyber resilience is needed

In the last few years, we have witnessed the expansion of cybercrime gangs and state-sponsored hackers and also the abuse of digital vulnerabilities. What is even worse is that “with little resources, you can have a lot of damage,” Briedis added. Data breaches reached an all-time high in 2024. The infamous “mother of all data breaches” incident resulted in a massive 26 billion record leak. Overall, more than 1 billion records were leaked throughout the year, according to NordLayer data. 

Google’s Cybersecurity Forecast 2025 included Generative AI as a main threat, along with state-sponsored cybercriminals and ransomware.

Amid these increasing cyber threats, companies like NordVPN are widening the scope of their security services. A lot of countries have also implemented laws to safeguard against cyberattacks as much as possible throughout the years. 

Over the years, governments, individuals, and organizations have also learned to protect their important data via vpn software, antivirus, firewall, and other security software. Despite these efforts, it’s not enough. According to Briedis, this happens because cybersecurity is not a fixed goal. "We have to be adaptive and make sure that we are learning from these attacks. We need to be [cyber] resilience."

The plan forward

In a RightsCon panel that Briedis attended, the discourse was aimed at NGOs, activists, and other small businesses, people take advantage of Nord’s advice to be more cyber-resilient. He gives importance to education, stressing it’s the “first thing.”

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Employee Data
Australia Australian Businesses Cybersecurity Researchers Data Breach Data Leak data security Database Leaked Database Security Employee Data

Sydney Tools Data Leak Exposes Millions of Customer and Employee Records

 

A major data leak from Sydney Tools, an Australian retailer specializing in power tools, hand tools, and industrial equipment, has potentially exposed the personal information of millions of customers and employees. The breach, discovered by cybersecurity researchers at Cybernews, involved an unprotected Clickhouse database that remained publicly accessible online, allowing unauthorized individuals to view sensitive data.  

According to the report, the database contained more than 5,000 records related to Sydney Tools employees, including both current and former staff. These records included full names, branch locations, salary details, and sales targets. Given that Sydney Tools reportedly employs around 1,000 people, a large portion of the exposed records likely belong to individuals who no longer work for the company. While no banking details were included in the leak, the exposure of employee information still poses a significant security risk. 

Cybercriminals could use these details to craft convincing phishing scams or for identity theft. Beyond employee data, the breach also exposed an even larger volume of customer information. The database reportedly contained over 34 million online purchase records, revealing customer names, email addresses, phone numbers, home addresses, and details of purchased items. The exposure of this information is particularly concerning, as it not only compromises privacy but also increases the risk of targeted scams. 

Customers who purchased expensive tools and equipment may be especially vulnerable to fraud or burglary attempts. Cybernews researchers have expressed serious concerns over the extent of the breach, highlighting that the database includes a mix of personally identifiable information (PII) and financial details. This kind of information is highly valuable to cybercriminals, who can exploit it for various fraudulent activities. The researchers attempted to notify Sydney Tools about the security lapse, urging them to secure the exposed database. 

However, as of their last update, the data reportedly remained accessible, raising further concerns about the company’s response to the issue. This incident underscores the ongoing risks posed by unprotected databases, which continue to be one of the leading causes of data breaches. Companies handling large volumes of customer and employee information must prioritize data security by implementing robust protection measures, such as encryption, multi-factor authentication, and regular security audits. Failing to do so not only puts individuals at risk but also exposes businesses to legal and reputational damage. 

With cybersecurity threats on the rise, organizations must remain vigilant in safeguarding sensitive information. Until Sydney Tools secures the database and provides assurances about how it will handle data protection in the future, customers and employees should remain cautious and monitor their accounts for any suspicious activity.
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