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Programming has five main steps: the identification and definition of the problem, the planning of the solution for the problem, coding of the program, testing, and documentation. It's a meticulous process that cannot be completed without going through all the essential points. In all of these, security must be taken into account. As you come up with a solution to the problem and write the code for it, you need to make sure security is kept intact. Cyber attacks are becoming more and more prevalent, and the trend is unlikely to change in the foreseeable future. As individuals, businesses, organizations, and governments become more reliant on technology, cybercrime is expected to only grow. Most of what people do in contemporary society involves the internet, computers, and apps/software. It's only logical for programmers to be mindful of the security aspect of making applications or software. It's not enough for programmers to produce something that works. After ...

In cybersecurity, the smallest crack can lead to the biggest breaches. A leaked encryption key, an unpatched software bug, or an abandoned cloud storage bucket—each one seems minor until it becomes the entry point for an attack. This week, we've seen cybercriminals turn overlooked weaknesses into major security threats, proving once again that no system is too small to be targeted. The question isn't whether attackers will find a way in—it's whether you'll be prepared when they do. Let's break down what you need to know. ⚡ Threat of the Week Microsoft Warns of Attacks Exploiting ASP.NET Machine Keys — Threat actors are exploiting publicly disclosed ASP.NET machine keys to inject and execute malicious code responsible for launching the Godzilla post-exploitation framework. Microsoft said it has identified over 3,000 publicly disclosed keys that could be used for these types of attacks dubbed ViewState code injection. The company also said it removed key-related artifacts from ...

Some risks don't breach the perimeter—they arrive through signed software, clean resumes, or sanctioned vendors still hiding in plain sight. This week, the clearest threats weren't the loudest—they were the most legitimate-looking. In an environment where identity, trust, and tooling are all interlinked, the strongest attack path is often the one that looks like it belongs. Security teams are now challenged to defend systems not just from intrusions—but from trust itself being turned into a weapon. ⚡ Threat of the Week Microsoft SharePoint Attacks Traced to China — The fallout from an attack spree targeting defects in on-premises Microsoft SharePoint servers continues to spread a week after the discovery of the zero-day exploits, with more than 400 organizations globally compromised. The attacks have been attributed to two known Chinese hacking groups tracked as Linen Typhoon (aka APT27), Violet Typhoon (aka APT31), and a suspected China-based threat actor codenamed Storm-2603 t...

The threat actors behind the Rhadamanthys information stealer have added new advanced features to the malware, including using artificial intelligence (AI) for optical character recognition (OCR) as part of what's called "Seed Phrase Image Recognition." "This allows Rhadamanthys to extract cryptocurrency wallet seed phrases from images, making it a highly potent threat for anyone dealing in cryptocurrencies," Recorded Future's Insikt Group said in an analysis of version 0.7.0 of the malware. "The malware can recognize seed phrase images on the client side and send them back to the command-and-control (C2) server for further exploitation." First discovered in the wild in September 2022, Rhadamanthys has emerged as one of the most potent information stealers that are advertised under the malware-as-a-service (MaaS) model, alongside Lumma and others. The malware continues to have an active presence despite suffering bans from underground forum...

The inner workings of a cybercriminal group known as the Wizard Spider have been exposed, shedding light on its organizational structure and motivations. "Most of Wizard Spider's efforts go into hacking European and U.S. businesses, with a special cracking tool used by some of their attackers to breach high-value targets," Swiss cybersecurity company PRODAFT  said  in a new report shared with The Hacker News. "Some of the money they get is put back into the project to develop new tools and talent." Wizard Spider, also known as Gold Blackburn, is believed to operate out of Russia and refers to a financially motivated threat actor that's been linked to the TrickBot botnet, a modular malware that was  officially discontinued  earlier this year in favor of improved malware such as BazarBackdoor. That's not all. The TrickBot operators have also extensively cooperated with  Conti , another Russia-linked cybercrime group notorious for offering ransomware-a...

Cybersecurity never stops—and neither do hackers. While you wrapped up last week, new attacks were already underway. From hidden software bugs to massive DDoS attacks and new ransomware tricks, this week's roundup gives you the biggest security moves to know. Whether you're protecting key systems or locking down cloud apps, these are the updates you need before making your next security decision. Take a quick look to start your week informed and one step ahead. ⚡ Threat of the Week Cisco 0-Day Flaws Under Attack — Cybersecurity agencies warned that threat actors have exploited two security flaws affecting Cisco firewalls as part of zero-day attacks to deliver previously undocumented malware families like RayInitiator and LINE VIPER. The RayInitiator and LINE VIPER malware represent a significant evolution on that used in the previous campaign, both in sophistication and its ability to evade detection. The activity involves the exploitation of CVE-2025-20362 (CVSS score: 6.5) a...

Talking about AI: Definitions Artificial Intelligence (AI) — AI refers to the simulation of human intelligence in machines, enabling them to perform tasks that typically require human intelligence, such as decision-making and problem-solving. AI is the broadest concept in this field, encompassing various technologies and methodologies, including Machine Learning (ML) and Deep Learning. Machine Learning (ML) — ML is a subset of AI that focuses on developing algorithms and statistical models that allow machines to learn from and make predictions or decisions based on data. ML is a specific approach within AI, emphasizing data-driven learning and improvement over time. Deep Learning (DL) — Deep Learning is a specialized subset of ML that uses neural networks with multiple layers to analyze and interpret complex data patterns. This advanced form of ML is particularly effective for tasks such as image and speech recognition, making it a crucial component of many AI applications. Larg...