Logj4 | Breaking Cybersecurity News | The Hacker News

With the last month of 2021 dominated by the log4J vulnerabilities discovery, publication, and patches popping up in rapid succession, odds are you have patched your system against Log4J exploitation attempts. At least some systems, if not all. You might even have installed the latest patch – at the time of writing, that is 2.17.1, but, if the last rapid patching cycle persists, it might have changed by the time this is published. In the meantime, defenders might have been working overtime to plug Log4J born security gaps, but so did cyber-attackers. Log4J's well-deserved fame also alerted cyber-attackers to a potential entry pathway into their target. And, while log4J will hopefully vanish from the headlines,  cyber-attackers are likely to continue trying to exploit it  in the hope of finding unpatched or incompletely patched targets. As human error still accounts  for 95% of all security breaches , cyber-attackers actively rely on these human errors to exploit them and take advant

The Apache Software Foundation (ASF) on Tuesday rolled out fresh patches to contain an arbitrary code execution flaw in Log4j that could be abused by threat actors to run malicious code on affected systems, making it the fifth security shortcoming to be discovered in the tool in the span of a month. Tracked as  CVE-2021-44832 , the vulnerability is rated 6.6 in severity on a scale of 10 and impacts all versions of the logging library from 2.0-alpha7 to 2.17.0 with the exception of 2.3.2 and 2.12.4. While Log4j versions 1.x are not affected, users are recommended to upgrade to Log4j 2.3.2 (for Java 6), 2.12.4 (for Java 7), or 2.17.1 (for Java 8 and later). "Apache Log4j2 versions 2.0-beta7 through 2.17.0 (excluding security fix releases 2.3.2 and 2.12.4) are vulnerable to a remote code execution (RCE) attack where an attacker with permission to modify the logging configuration file can construct a malicious configuration using a JDBC Appender with a data source referencing a JND

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