Cloud computing is a $136 billion industry, and it continues to grow. As consumers become more technology-savvy, individual use of cloud services enters the realm of convention. Cloud migration is picking up speed because it introduces cost-effective and flexible services into a previously expensive technological sphere. However, cloud computing also gives rise to new security challenges.

Kathy Wang, GitLab’s Sr. Director of Security, and Philippe Lafoucrière, a distinguished GitLab Engineer, recently presented “Towards Zero Trust at GitLab.com” at Google’s Cloud Next ‘19 event.

As a part of a pretty crazy week (Microsoft/RDS, Apple/Mojave/High Sierra, Adobe Acrobat/ Flash Player) when it comes to security updates, some new speculative execution vulnerabilities were disclosed and fixed.

[Updated June 5th] Patching for the CVE (CVE-2019-0708) vulnerability (referred to as BlueKeep) appears to have been slow, according to Rob Graham among others. One security expert, Ryan McGeehan (@Magoo), with experience in modeling vulnerability exploit probability and has done just that with the BlueKeep security flaw. 

His concerning summary concludes:

"Chances are about even ( 47.62%)  for “in the wild” BlueKeep exploitation to be observed between now and end of June."

Follow the outline below to check your exposure using osquery.

Microsoft released an important patch to the remotely exploitable Remote Desktop Services (RDS) vulnerability. This vulnerability does not require any authentication and allows an attacker to run code remotely. Expect public exploits to start appearing soon.

This previous blog post explored ways to use osquery for macOS malware analysis. Using the same methodology introduced there, we analyzed five additional macOS malware variants and recorded their behavior to understand the techniques they used. Below, you’ll find the techniques used by Calisto, Dummy, HiddenLotus, LamePyre and WireLurker. Read on to explore how to translate the techniques used by these malware into queries you can run to hunt for the active presence or historical artifacts using osquery.

Progress in open source projects thrives on the sharing of information. Yet even with the best of intentions, much of the learning can still be considered tribal knowledge, traded between small groups of closely connected individuals. While, the osquery project certainly isn’t immune to this, the community has absolutely benefited from a passionate and growing base of users, developers, contributors and tinkerers that are dedicated to documenting and sharing what they’ve learned.

Osquery, at its most basic level, is an operating system instrumentation framework that exposes the OS as a SQL database. SQL queries can be run to view information about the systems similar to any SQL database, providing a unified cross platform framework (i.e. endpoints running on multiple operating systems can be queried using the industry standard database language: SQL. This structured approach for collecting and accessing data introduces great flexibility, making it useful for multiple purposes. For example, queries can be constructed to audit infrastructure for compliance, vulnerabilities, malware analysis and intrusion detection, etc. Data collected by osquery can be useful to anybody from IT support teams to CSIRTs. However, in this blog post we’ll narrow our focus and explore how to use osquery specifically for macOS malware analysis (though the methodologies discussed are the same for Windows and Linux operating systems).

You may have heard about “Dirty Sock”, a recently discovered vulnerability targeting snapd sockets, playing on the name of a previous vulnerability called “Dirty Cow”. Snapd allows for the execution of packaged snaps, which are a mechanism to distribute and update applications in a standard format.

With polymorphic malware, quick-turn domains and turn-on-a-dime attack tactics, most security professionals are looking for real-time intelligence to enable protection that is as close to zero-day as possible. Finding a threat anywhere around the globe and then immediately blasting out a definition or identifying an artifact is high on the cybersecurity wish list.

The Windows registry is full of information, and with the proper tools, can be a gold mine for attackers and defenders alike. Attackers look to find specific configurations, credentials, or any information that can help them further attack systems, while defenders can use the registry to ensure that settings are configured as they are expected to. This is something that is not always easy to do with standard tools in Windows, or with the right level of performance. Fortunately, osquery solves that for us.