Threat hunters and incident responders are under tremendous time pressure to investigate breaches and incidents. While they are collecting and sorting massive quantities of forensic data, fast response is critical to help limit any damage inflected by the adversary. This article and video will provide an overview of Falcon Forensics, and how it streamlines the collection and analysis of point-in-time and historic forensic data.
The world of cybersecurity has been constantly challenged since the pandemic started. With the dust still settling, a new concern has taken the entire cyber landscape by storm. A flaw in Log4j, a widely used Java-based logging library, allows hackers unbridled access to computer systems. The vulnerability (CVE-2021-44228) affects everything from the cloud to security devices. Attackers have come up with worms that can spread independently from one vulnerable system to another.
It was early 2003 in central Iraq, a couple of hours before dawn, 30 degree heat, and everything had a green tint through the night vision goggles. I was on an operation with a team from the US Psychological Operations forces (psyops) and an ODA (Operational Detachment Alpha) from the US Special Forces. We'd spent days gathering HUMINT (Human Intelligence) and undertaking reconnaissance on the target. The ODA team was set up for the assault, the psyops were ready to run diversionary tactics and I was on the team providing comms and perimeter security. Authorisation was given from above, the operation began, and the sky lit up with tracer rounds.
The situation involving the log4j ( log4shell ) vulnerability has been rapidly evolving since its release a little over a week ago. A new exploit, CVE-2021-45046, was found which was not covered by the initial 2.15.0 patch. Not long after the 2.16.0 patch was released, another issue was found, CVE-2021-45105, which resulted in the release of 2.17.0. There is clearly a lot going on in the log4j library.
Humio is a CrowdStrike Company. Data logging is the process of capturing, storing and displaying one or more datasets to analyze activity, identify trends and help predict future events. Data logging can be completed manually, though most processes are automated through intelligent applications like artificial intelligence (AI), machine learning (ML) or robotic process automation (RPA).
More than 90% of organizations rely on open source software, a reliance that introduces a significant amount of security and legal risk via either direct or transitive open source dependencies. To overcome this challenge, Software Composition Analysis (SCA) solutions are playing an increasingly important role in helping organizations successfully identify and mitigate potential security issues.
