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TH16117

Detected presence of software components that can detect installed security software.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
passmediumhighNoneNone

About the issue​

Each security solution has a unique footprint that consists of installed files and changes to system configuration. Malicious code often tries to detect security solutions by accessing registry keys and folder locations associated with the software installation. Detecting which security solution is installed plays a key role in selecting the optimal malware infection strategy. When a computer system is protected by a security solution, malware may decide to behave differently. Malware may choose to delay its execution, change infection stages, or even avoid running altogether. While the presence of code that detects security solutions does not necessarily imply malicious intent, all of its uses in a software package should be documented and approved. Only select applications should consider using functions that check for presence of installed security software. One example of acceptable use for such functions is informing the user about possible compatibility issues with the detected security software.

How to resolve the issue​

  • Investigate reported detections as indicators of software tampering.
  • Consult Mitre ATT&CK documentation: T1518.001 - Security Software Discovery.
  • Consider rewriting the flagged code without using the marked behaviors.

Incidence statistics​

ReversingLabs periodically collects and analyzes the contents of popular software package repositories for threat research purposes. Analysis results are used to calculate incidence statistics for issues (policy violations) that Spectra Assure can detect in software packages.

This section is updated when new data becomes available.

Total amount of packages analyzed

  • RubyGems: 183K
  • Nuget: 644K
  • PyPi: 628K
  • NPM: 3.72M

Total detections per repository

For every repository, the chart shows the number of packages that triggered the software assurance policy. In other words, it shows how many packages in each package repository were found to have the specific issue described on this page. This information helps you understand how common the issue is across different software communities.

If a repository is absent from the chart, that means none of the packages in that repository triggered this policy during analysis, or the policy was not used during analysis.

Distribution of total detections by project popularity

For every repository, the chart shows how many of the total detections belong to the Top 100 (1-100), Top 1000 (101-1000) and Top 10 000 (1001-10 000) most downloaded projects. This information helps you understand the impact of the issue within each community, making it clearer when the issue affects the most popular projects.

If the chart shows zero values for all of the top project groups, that means all detections were in unranked projects (lower than 10 000 on the list of most downloaded projects).