This is the RSS 2.0 feed from www.secnews.physaphae.fr. IT's a simple agragated flow of multiple articles soruces. Liste of sources, can be found on www.secnews.physaphae.fr. 2025-05-10T23:41:58+00:00 www.secnews.physaphae.fr AlienVault Lab Blog - AlienVault est un acteur de defense majeur dans les IOC affecting 66% of organizations in 2023 and pulling over $1 billion from the victims. These attacks have increased in frequency and sophistication, resulting in significant financial loss, operation disruption, theft of sensitive data, and reduced productivity rates. Also, it damages the organization\'s reputation and results in the loss of customer trust and compliance violations. An organization needs a comprehensive protection strategy to reduce the frequency of these attacks and the risks they pose. Ransomware Business Model: How These Attacks Are Evolving? In the past, ransomware attacks mainly relied on phishing emails, remote desktop protocol exploits, and vulnerable ports to increase their chances of success. Additionally, these attacks employ evasion techniques to bypass traditional security measures like firewalls or antivirus software. These methods have resulted in famous attacks like WannaCry, TeslaCrypt, and NotPetya. With time, ransomware attackers have evolved and have become more sophisticated, targeted, and profitable for cybercriminals. Below is an insight into the latest trends that hackers adopt to launch a successful ransomware attack: Exploiting Zero-Day Vulnerabilities The shift in ransomware gangs and their sophisticated tactics and procedures (TTPs) raise the number of ransomware attacks. . Previously, REvil, Conti, and LockBit were the famous ransomware gangs, but now Clop, Cuban, and Play are gaining immense popularity by employing advanced hacking techniques like zero-day vulnerabilities. Sophos\'s State of Ransomware 2024 revealed exploited vulnerabilities as the root cause of ransomware attacks. The Clop ransomware gang has used the zero-day vulnerability in the MOVEit Transfer platform to steal the sensitive data of different organizations. This group also targeted the GoAnywhere zero-day vulnerability in January 2023, affecting 130 organizations, and exploited the Accellion FTA servers in 2020. Similarly, Cuban and Play used the same attacking technique to compromise the unpatched Microsoft Exchange servers. Double and Triple Extortion Another reason for the rise in ransomware attacks is the introduction of the double or triple extortion technique. Cybersecurity firm Venafi reported that 83% of ransomware attacks included multiple ransom demands in 2022. Cybercriminals encrypt the data, exfiltrate sensitive information, and threaten to release it or sell it on the dark web if the ransom is not paid in a double extortion scheme. This tactic prove]]> 2024-07-31T10:00:00+00:00 https://cybersecurity.att.com/blogs/security-essentials/are-ransomware-attacks-still-a-growing-threat-in-2024 www.secnews.physaphae.fr/article.php?IdArticle=8547886 False Ransomware,Malware,Tool,Vulnerability,Threat,Studies,Legislation,Prediction,Medical,Technical NotPetya,Wannacry,Deloitte 3.0000000000000000 AlienVault Lab Blog - AlienVault est un acteur de defense majeur dans les IOC up for grabs by the other side, and can (and will) arm them to launch attacks of unprecedented sophistication and elusiveness, the likes of which we’ve thankfully never seen up to now. How do we wield this impressive technology to fortify our defenses, while preventing it from falling into the wrong hands? Can such a thing even be accomplished? Join me below as we take a closer look at how AI’s rapid rise is changing the landscape of cybersecurity. AI as a Defense Tool AI is a reliable navigator for charting the digital deluge—it has the ability to handle vast quantities of information rapidly on a level that no human could ever hope to match. It doesn’t take a huge leap to come to the conclusion that those capabilities can very easily be leveraged for defense. Automated Threat Detection Think of AI as the ever-watchful eye, tirelessly scanning the horizon for signs of trouble in the vast sea of data. Its capability to detect threats with speed and precision beyond human ken is our first line of defense against the shadows that lurk in the network traffic, camouflaged in ordinary user behavior, or embedded within the seemingly benign activities of countless applications. AI isn’t just about spotting trouble; it’s about understanding it. Through machine learning, it constructs models that learn from the DNA of malware, enabling it to recognize new variants that bear the hallmarks of known threats. This is akin to recognizing an enemy’s tactics, even if their strategy evolves. All of what I’ve said also here applies to incident response—with AI’s ability to automatically meet threats head-on making a holistic cybersecurity posture both easier to achieve and less resource-intensive for organizations of all sizes. Predictive Analytics By understanding the patterns and techniques used in previous breaches, AI models can predict where and how cybercriminals might strike next. This foresight enables organizations to reinforce their defenses before an attack occurs, transforming cybersecurity from a reactive discipline into a proactive strategy that helps prevent breaches rather than merely responding to them. The sophistication of predictive analytics lies in its use of diverse data sources, including threat intelligence feeds, anomaly detection reports, and global cybersecurity trends. This comprehensive view allows AI systems to identify correlations and causations that might elude human analysts. Phishing Detection and Email Filtering AI has stepped up as a pivotal ally in the ongoing skirmish against phishing and other forms of social engineering attacks, which too often lay the groundwork for more invasive security breaches. Through meticulous analysis of email content, context, and even the]]> 2024-03-25T10:00:00+00:00 https://cybersecurity.att.com/blogs/security-essentials/decoding-the-cybersecurity-implications-of-ais-rapid-advancement www.secnews.physaphae.fr/article.php?IdArticle=8470065 False Spam,Tool,Vulnerability,Threat,Prediction,Technical Deloitte 2.0000000000000000