Github Security | Breaking Cybersecurity News | The Hacker News

An unknown hacker yesterday successfully managed to hack into the official GitHub account of Canonical, the company behind the Ubuntu Linux project and created 11 new empty repositories . It appears that the cyberattack was, fortunately, just a "loud" defacement attempt rather than a "silent" sophisticated supply-chain attack that could have been abused to distribute modified malicious versions of the open-source Canonical software. In a statement, David from Canonical confirmed that attacker(s) used a Canonical owned GitHub account whose credentials were compromised to unauthorizedly access Canonical's Github account. "We can confirm that on 2019-07-06 there was a Canonical owned account on GitHub whose credentials were compromised and used to create repositories and issues among other activities," David said. "Canonical has removed the compromised account from the Canonical organization in GitHub and is still investigating the extent o...

Developers around the world depend on open source components to build their software products. According to industry estimates, open source components account for 60-80% of the code base in modern applications. Collaboration on open source projects throughout the community produces stronger code, squashing the bugs and catching the vulnerabilities that impact the security of organizations who look to open source components as the key to their application building success. Thanks in part to the "thousand eyeballs" of the community, the number of reported vulnerabilities in open source projects is on the rise, spiking 51% in 2017 from the previous year. This is even more concerning since, as shown in the same study, most vulnerabilities are found in popular projects. Data shows that 32% of the top 100 open source projects have at least one vulnerability, meaning that developers have their work cut out for them, no matter which components they are using in their products....

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...