Python | Breaking Cybersecurity News | The Hacker News

Python is an excellent programming language that has rapidly become popular among Hackers, Reverse engineers, software testers, Forensic analyst and Penetration testers. Python is a simple object-oriented and minimalistic language that is easy to learn for novice programmers as well as experienced developers. Most Python programs run on all major operating systems including Windows, Linux, Mac, etc. What makes Python such an effective platform for Security Professional and Hackers? Python supports pre-built extensive libraries that are specifically designed for penetration testing and provide some powerful functionalities. So if you are looking for a most widely used and easy to learn scripting language, go for Python. Here I'm introducing you a Free IT training from Cybrary – Python for Security Professionals . There is nothing wrong if I say that scripting languages like BASH, Perl, and Ruby can not do the same things as Python, but building those ca

Administration from Debian and Python project official websites confirmed that their WIKI servers were compromised by some unknown hackers recently. Hackers was able to hack because of several vulnerabilities in " moin " package. According to  Brian Curtin at Python Project , Hacker user some unknown remote code exploit on Python Wiki server (https://wiki.python.org/) and was able to get shell access. The shell was restricted to "moin" user permissions, where but no other services were affected. Attacker deleted all files owned by the "moin" user, including all instance data for both the Python and Jython wikis. Python Software Foundation encourages all wiki users to change their password on other sites if the same one is in use elsewhere. For now, Python Wiki is down and team is investigating more about breach. Where as in Debian Wiki (https://wiki.debian.org/) security breach, user use some known vulnerabilities Directory traversal ( CVE-20

The introduction of Open AI's ChatGPT was a defining moment for the software industry, touching off a GenAI race with its November 2022 release. SaaS vendors are now rushing to upgrade tools with enhanced productivity capabilities that are driven by generative AI. Among a wide range of uses, GenAI tools make it easier for developers to build software, assist sales teams in mundane email writing, help marketers produce unique content at low cost, and enable teams and creatives to brainstorm new ideas.  Recent significant GenAI product launches include Microsoft 365 Copilot, GitHub Copilot, and Salesforce Einstein GPT. Notably, these GenAI tools from leading SaaS providers are paid enhancements, a clear sign that no SaaS provider will want to miss out on cashing in on the GenAI transformation. Google will soon launch its SGE "Search Generative Experience" platform for premium AI-generated summaries rather than a list of websites.  At this pace, it's just a matter of a short time befo