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

Identities now transcend human boundaries. Within each line of code and every API call lies a non-human identity. These entities act as programmatic access keys, enabling authentication and facilitating interactions among systems and services, which are essential for every API call, database query, or storage account access. As we depend on multi-factor authentication and passwords to safeguard human identities, a pressing question arises: How do we guarantee the security and integrity of these non-human counterparts? How do we authenticate, authorize, and regulate access for entities devoid of life but crucial for the functioning of critical systems? Let's break it down. The challenge Imagine a cloud-native application as a bustling metropolis of tiny neighborhoods known as microservices, all neatly packed into containers. These microservices function akin to diligent worker bees, each diligently performing its designated task, be it processing data, verifying credentials, or