Hacking-as-a-Service, Open Source AI Issues, CMMC and more
We'll be talking about how AI has revolutionized hacking, phishing, and ransomware for the next several months if not years. Social engineering tools are evolving at lightning speed, keeping pace with rapid advancements in generative AI. This evolution arms cybercriminals with tools and techniques to investigate, target, and exploit organizations. Meanwhile, open-source AI tools empower businesses to create AI models that keep operations running smoothly—until someone sneaks in through a backdoor in the AI code. So, how do you stay one step ahead of these threat actors, regardless of your industry? The answer lies in robust cybersecurity, diligent cyber hygiene, and having a team of experts ready to help when the going gets tough.
Gmail, Yahoo Targeted By A New Two-Factor Authentication Phishing Kit via Security Magazine
In the ever-changing world of phishing, a new tool called Astaroth has emerged on the dark web, capable of slipping past two-factor authentication (2FA) through session hacking and real-time credential interception. Astaroth showcases how cybercriminals constantly refine their strategies, turning phishing into a lucrative business where advanced attacks are marketed like commercial software—complete with updates, customer support, and testing assurances. Using real-time credential interception and reverse proxies to take over authenticated sessions, attackers can outsmart even the most formidable phishing defenses, including Multi-Factor Authentication (MFA). Kits like Astaroth make it easier for cybercriminals to get started, enabling even those with less experience to carry out highly effective attacks.
As companies rapidly embrace AI, many are diving into internal projects using open-source AI models from platforms like Hugging Face, TensorFlow Hub, and PyTorch Hub. A Morning Consult survey, backed by IBM, reveals that 61% of companies are tapping into the open-source ecosystem to craft their own AI tools. Yet, these open-source components frequently include executable code, which can introduce security risks like unauthorized code execution, hidden backdoors, prompt injections, and alignment issues—where the AI model's actions might not fully match the expectations of developers and users. Therefore, companies embarking on internal AI projects must implement strong systems to identify security vulnerabilities and malicious code lurking within their supply chains. Talk to the Idenhaus experts today to see how to better protect your organization's AI efforts.?
AI-Powered Social Engineering: Ancillary Tools and Techniques?via The Hacker’s News
Social engineering is rapidly evolving, keeping pace with the swift advancements in generative AI. This progress equips cybercriminals with many new tools and techniques to research, scope out, and exploit organizations. The FBI recently highlighted, 'As technology continues to evolve, so do cybercriminals' tactics.' Today, attackers can treat the internet like a vast database, needing only a tiny piece of information—like a name, email address, or image—to get started. Generative AI springs into action, conducting real-time searches to uncover and analyze connections and relationships. The next step is selecting the right tool for the job, often deploying exploits on a large scale and autonomously. This could involve anything from deepfake videos and voice cloning to conversation-driven attacks powered by large language models. What once required a select group of experts is now accessible to many, thanks to the emergence of 'hacking as a service,' which simplifies much of the heavy lifting for cybercriminals. Stay one step ahead of the hackers with a few savvy strategies, starting with a conversation with the experts at Idenhaus.
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Roping In Cyber Risk Quantification Across Industrial Networks To Safeguard OT Asset Owners Amid Rising Threats? via IndustrialCyber?
New cyber risk quantification trends influence how industrial organizations measure the success of their cybersecurity programs. Top metrics, including probable downtime expense, safety hazards, and regulatory fines, are the core basis for program success assessments. As the danger increases, consequence-based approaches are in greater demand, allowing these critical organizations to prioritize high-impact events and invest resources where they will have the most significant impact. Cyber risk quantification is not merely a technical exercise but a strategic necessity, closing the gap between business and cybersecurity objectives and guaranteeing resilience in an increasingly interconnected and exposed industrial environment. How resilient is your organization at this moment??
Top Ten Reasons to Become CMMC 2.0 Certified via Idenhaus
In our hyper-connected world, cybersecurity has evolved from a mere technical requirement to a crucial strategic priority, particularly for companies in the defense sector or those aiming to collaborate with the U.S. Department of Defense (DoD). The Cybersecurity Maturity Model Certification (CMMC 2.0) has set the benchmark for safeguarding sensitive government information and is swiftly becoming essential for doing business with the U.S. government. Whether you're a defense contractor or a supplier within the Defense Industrial Base (DIB), here are our top ten reasons why achieving CMMC 2.0 certification is a wise decision for your business.