Shadowserver | Breaking Cybersecurity News | The Hacker News

As many as 2,000 Palo Alto Networks devices are estimated to have been compromised as part of a campaign abusing the newly disclosed security flaws that have come under active exploitation in the wild. According to statistics shared by the Shadowserver Foundation, a majority of the infections have been reported in the U.S. (554) and India (461), followed by Thailand (80), Mexico (48), Indonesia (43), Turkey (41), the U.K. (39), Peru (36), and South Africa (35). Earlier this week, Censys revealed that it had identified 13,324 publicly exposed next-generation firewall (NGFW) management interfaces, with 34% of these exposures located in the U.S. However, it's important to note that not all of these exposed hosts are necessarily vulnerable. The flaws in question , CVE-2024-0012 (CVSS score: 9.3) and CVE-2024-9474 (CVSS score: 6.9), are a combination of authentication bypass and privilege escalation that could allow a bad actor to perform malicious actions, including modifying c...

Hundreds of Citrix NetScaler ADC and Gateway servers have been breached by malicious actors to deploy web shells, according to the Shadowserver Foundation. The non-profit  said  the attacks take advantage of  CVE-2023-3519 , a critical code injection vulnerability that could lead to unauthenticated remote code execution. The flaw, patched by Citrix last month, carries a CVSS score of 9.8. The  largest number  of impacted IP addresses are based in Germany, followed by France, Switzerland, Italy, Sweden, Spain, Japan, China, Austria, and Brazil. The  exploitation  of CVE-2023-3519 to deploy web shells was previously disclosed by the U.S. Cybersecurity and Infrastructure Security Agency (CISA), which  said  the attack was directed against an unnamed critical infrastructure organization in June 2023. The disclosure comes as GreyNoise  said  it detected three IP addresses  attempting  to exploit CVE-2023-24489 (CVSS scor...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...