Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How to Respond: The Apache Log4j Vulnerability Clearly Explained

The Apache Log4j vulnerability has been assigned the most critical cyber threat rating of CVSS 10. For a concise overview of the zero-day, and to learn how to secure your systems against its exploitation, all of the popular FAQs concerning this vulnerability have been conveniently compiled in this post.

log4jShell - Do you know what you don't know?

Is it just me or is the announcement of a significant CVE becoming a holiday tradition? Discovered on December 9, 2021 by Minecraft players, the Apache Log4Shell vulnerability is a uniquely insidious because it infects servers which are traditionally well insulated from attacks and perceived as unreachable by an intruder and not at risk for CVEs. Log4Shell is an entirely different can of works that proves this assumption wrong.

Addressing Log4j2 Vulnerabilities: How Tripwire Can Help

On December 9th 2021, Apache published a zero-day vulnerability (CVE-2021-44228) for Apache Log4j being referred to as “Log4Shell.” This vulnerability has been classified as “Critical” with a CVSS score of 10, allowing for Remote Code Execution with system-level privileges. If you are currently working to identify instances of this vulnerability, Tripwire can help.

Log4j Log4Shell Vulnerability: All You Need To Know

On December 9, 2021, a researcher from the Alibaba Cloud Security Team dropped a zero-day remote code execution exploit on Twitter, targeting the extremely popular log4j logging framework for Java. Since then, the trivially exploitable (weaponized PoCs are available publicly) and extremely popular library has reportedly been massively exploited and has gotten wide coverage on media and social networks.

Log4Shell in a nutshell (for non-developers & non-Java developers)

If you’re in tech at all, you’ve likely heard of the Log4Shell exploit taking over the Intertubes. If you’re not a Java developer (or developer of any sort), you may be left scratching your head as to just what’s going on. This post is split into two parts: an explanation of Log4Shell for non-developers and an overview of the Log4Shell vulnerability for non-Java developers.

Exploiting, Mitigating, and Detecting CVE-2021-44228: Log4j Remote Code Execution (RCE)

A new critical vulnerability has been found in log4j, a widely-used open-source utility used to generate logs inside java applications. The vulnerability CVE-2021-44228, also known as Log4Shell, permits a Remote Code Execution (RCE) allowing the attackers to execute arbitrary code on the host. The log4j utility is popular and used by a huge number of applications and companies, including the famous game Minecraft.

Log4Shell: What You Need to Know About the Log4j Vulnerability

A new critical vulnerability, Log4Shell, was publicly disclosed on December 10th and is making global headlines. It impacts a wide amount of applications on the internet, allowing attackers to remotely execute code within vulnerable applications worldwide. In this webinar recording, Snyk technical experts provide an in-depth technical review of the Log4Shell vulnerability, what caused it, how it can be exploited, and most importantly, how it can be mitigated through upgrades, or defended against in WAF configurations and more. We cover.

Fireside Chat: Log4j and Injection Flaws

Join us for a fireside chat with Micah Silverman, Snyk's Director of DevSecOps Acceleration, and Vandana Verma, Security Relations Leader at Snyk, as we answer your #Log4Shell questions: What is it and how does it affect us? How do I find and fix the #Log4J vulnerability? What can other language ecosystems learn from this? We'll also talk about the OWASP Top 10 and injection flaws.

How CrowdStrike Protects Customers from Threats Delivered via Log4Shell

Recent CrowdStrike Intelligence team findings regarding the Log4Shell (CVE-2021-44228, CVE-2021-45046) vulnerabilities indicate wide-ranging impact. CrowdStrike helps protect customers from threats delivered via this vulnerability using both machine learning and indicators of attack (IOAs).