Mobile application security testing (MAST) covers a wide range of topics, including authentication, authorization, data security, session management, and vulnerabilities for hacking. The mobile AST market is made up of buyers and sellers of products that identify vulnerabilities and apps used with mobile platforms during or post-development.

Ever since the public exploit of the Log4Shell remote code execution (RCE) vulnerability became known on December 10, 2021, security teams have been scrambling to understand the risk to their environments. Part of that scramble has been to ascertain which tools are best positioned to help detect the vulnerability. Which approaches are most effective and where do they fall short?

To help contain the damages that arise from the log4j vulnerability, Code Intelligence collaborated with Google’s Open Source Security Team. Together, we implemented effective bug detectors for Remote Code Execution Vulnerabilities (RCEs) to Google’s open source fuzzing framework, OSS-Fuzz.

Starting in early 2021, Snyk Code and became available as a freemium offering for Snyk users. Snyk Code helps developers quickly and accurately find, prioritize, and fix security flaws in proprietary code. With detailed remediation guidance at every stage of the software development lifecycle (SDLC), from the developer’s environment (IDE) to continuous integration and development (CI/CD) pipelines, Snyk Code revolutionizes static application security testing (SAST).

On December 9th, 2021, the Remote Code Execution (RCE) CVE-2021-44228 in Apache log4j 2 was published and started seeing active exploitation soon after. Since then, development teams have been working hard and tirelessly, trying to fix the issue to prevent (further) damage.

CI Fuzz is a platform for automated security testing that aims to enable developers to ship secure software fast. The platform empowers development teams to automatically deploy continuous REST API security tests with each pull request. Since it enables the instrumentation of entire web service environments, CI Fuzz can create test inputs that are guided by code coverage. This enables it to uncover complex vulnerabilities and edge cases that other tools often overlook.