Injection Attacks Thwarted Since August; The Minerva Approach Proves Itself Once Again

Minerva Labs has announced that the company conducted a thorough review of the cybersecurity threat exposed by the SolarWinds breach. Minerva Labs reports a dramatic increase in the number of prevented events coming from the “SolarWinds.BusinessLayerHost.exe” process in the past few months.

Researchers suspect that this activity is related to the current event and advise other security vendors to monitor for such behavior. While security vendors published their mitigation recommendations in the past few days, Minerva reports that the company successfully prevented related attempts since August 2020.

Here’s an example of a prevented memory injection attack in Minerva’s interface:

Example #1:

Minerva Labs

Example #2:

Minerva Labs

As detailed by FireEye’s report (which can be found here), the malicious backdoor refuses to work when certain blacklisted processes are present in the operating system, proving once again the effectiveness of the Minerva approach and the Hostile Environment Simulation module which is one of the main parts of Minerva’s pre-execution threat prevention platform. Thousands of such artifacts simulate the presence of security and forensics tools that creates an environment in which malware refrains from executing.

Featured

New Products

  • Product Image

    Teledyne FLIR's A40 and A70

    UL 2684-listed thermal cameras monitor temperature changes and provide independent testing evidence for European fire detection projects.

  • ADI Control4 product image

    ADI Control4® X4 & Control4® Connect

    Drive long-term system value and reduce post-installation friction with a visually redesigned control interface paired with a secure, future-ready smart service framework.

  • Theia Technologies building fisheye

    Theia Technologies Linear Optical Technology®

    Learn how ultra-wide, zero-distortion rectilinear lens design improves spatial accuracy and eliminates the need for software de-warping in real-time robotic and automation systems.