A newly observed version of the Chaos malware is now targeting poorly secured cloud environments, indicating a defining shift in how this ...
Privacy issues have always bothered users and business organizations. With the rapid adoption of AI, the threats are also rising. DuckDuckGo’s Duck.ai chatbot benefits from this.
The latest report from Similarweb revealed that traffic to Duck.ai increased rapidly last month. The traffic recorded 11.1 million visits in February 2026, 300% more than January.
The statistics seem small when compared with the most popular chatbots such as ChatGPT, Claude, or Gemini.
Similarweb estimates that ChatGPT recorded 5.4 billion visits in February 2026, and Google’s Gemini recorded 2.1 billion, whereas Claude recorded 290.3 million.
For DuckDuckGo, the numbers show a good sign, as the bot was launched as beta in 2025, and has shown a sharp rise in visits.
DuckDuckGo browser is known for its privacy, and the company aims to apply the same principle to its AI bot. Duck.ai doesn't run a bespoke LLM, it uses frontier models from Meta, Anthropic, and OpenAI, but it doesn't expose your IP address and personal data.
Duck.ai's privacy policy reads, "In addition, we have agreements in place with all model providers that further limit how they can use data from these anonymous requests, including not using Prompts and Outputs to develop or improve their models, as well as deleting all information received once it is no longer necessary to provide Outputs (at most within 30 days, with limited exceptions for safety and legal compliance),”
What is the reason for this sudden surge? The bot has two advantages over individual commercial bots like ChatGPT and Gemini, it offers an option to toggle between multiple models and better privacy security. The privacy aspect sets it apart. Users on Reddit have praised Duck.ai, one person noting "it's way better than Google's," which means Gemini.
In March, Anthropic rejected a few applications of its technology for mass surveillance and weapons submitted by the Department of Defense. The DoD retaliated by breaking the contract. Soon after, OpenAI stepped in.
The incident stirred controversies around privacy concerns and ethical AI use. This explains why users may prefer chatbots like Duck.ai that safeguard user data from both the government and the big tech.
A new investigation has uncovered a cyberattack method that uses blockchain networks to quietly distribute malware, raising concerns among security researchers about how difficult it may be to stop once it spreads further.
The threat first surfaced when a senior engineering executive at Crystal Intelligence received a freelance opportunity through LinkedIn. The message appeared routine, asking him to review and run code hosted on GitHub. However, the request resembled a known tactic used by a North Korean-linked group often referred to as Contagious Interview, which relies on fake job offers to target developers.
Instead of proceeding, the executive examined the code and found something unusual. Hidden within it was the beginning of a multi-step attack designed to look harmless. A developer following normal instructions would likely execute it without noticing anything suspicious.
Once activated, the code connects to blockchain networks such as TRON and Aptos, which are commonly used because of their low transaction costs. These networks do not contain the malware itself but instead store information that directs the program to another blockchain, Binance Smart Chain. From there, the final malicious payload is retrieved and executed.
Researchers say this last stage installs a powerful data-stealing tool known as “Omnistealer.” According to analysts working with Ransom-ISAC, the malware is designed to extract a wide range of sensitive data. It can access more than 60 cryptocurrency wallet extensions, including MetaMask and Coinbase Wallet, as well as over 10 password managers such as LastPass. It also targets major browsers like Chrome and Firefox and can pull data from cloud storage services like Google Drive. This means attackers are not just stealing cryptocurrency, but also login credentials and internal access to company systems.
What initially looked like a simple phishing attempt turned out to be far more layered. By placing parts of the attack inside blockchain transactions, the attackers have created a system that is extremely difficult to dismantle. Data stored on blockchains cannot easily be removed, which means parts of this malware infrastructure could remain accessible for years.
Researchers believe the scale of this operation could grow rapidly. Some have compared its potential reach to the WannaCry ransomware attack, which disrupted hundreds of thousands of systems worldwide. In this case, however, the method is quieter and more flexible, which may allow it to spread further before being detected. At the same time, investigators are still unsure what the attackers ultimately intend to do with the access they gain.
Further analysis has revealed possible links to North Korean cyber actors. Investigators traced parts of the activity to an IP address in Vladivostok, a location that has previously appeared in investigations involving North Korean operations. Research cited by NATO has noted that North Korea expanded its internet routing through Russia several years ago. Additional findings from Trend Micro connect similar infrastructure to earlier campaigns involving fake recruiters.
The number of affected victims is already significant. Researchers estimate that around 300,000 credentials have been exposed so far, although they believe the real figure could be much higher. Impacted organizations include cybersecurity firms, defense contractors, financial companies, and government entities in countries such as the United States and Bangladesh.
The attackers rely heavily on deception to gain access. In some cases, they pose as recruiters and convince developers to run infected code as part of a hiring process. In others, they present themselves as freelance developers and introduce malicious code directly into company systems through platforms like GitHub.
Developers in rapidly growing tech ecosystems appear to be a key focus. India, for example, has seen a surge in new contributors on GitHub and ranks among the top countries for cryptocurrency adoption. Researchers suggest that a combination of high developer activity and economic incentives may make such regions more vulnerable to these tactics.
Initial contact is typically made through platforms such as LinkedIn, Upwork, Telegram, and Discord. Representatives from these platforms have advised users to be cautious, particularly when asked to download files or execute unfamiliar code outside controlled environments.
Not all targeted organizations appear strategically important, which suggests the attackers may be casting a wide net. However, the presence of defense and security-related entities among the victims raises more serious concerns about potential intelligence-gathering objectives.
Security experts say this campaign reflects a broader shift in how attacks are being designed. Instead of relying on a single point of failure, attackers are combining social engineering, publicly accessible code platforms, and decentralized infrastructure. The use of blockchain in particular adds a layer of persistence that traditional security tools are not designed to handle.
As investigations continue, researchers warn that this may only be an early stage of a much larger problem. The combination of hidden delivery methods, long-term persistence, and unclear intent makes this campaign especially difficult to predict and contain.