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TH16118

Detected presence of software components that can change the system startup sequence.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
passmediumhighNoneNone

About the issue​

Operating systems provide multiple integration points for applications to insert themselves in the system startup sequence. Startup sequence is executed in its entirety each time the computer system powers on. For that reason, attackers typically try to register their malicious code in the system startup sequence. When malicious code is registered to start with the operating system, it achieves persistence, as it becomes permanently installed. While the presence of code that modifies the system startup sequence does not necessarily imply malicious intent, all of its uses in a software package should be documented and approved. Only applications that require constant background operation should consider installing themselves as a part of the startup sequence. One exemption to this recommendation would include running the application after the first system reboot to complete the software installation.

How to resolve the issue​

  • Investigate reported detections as indicators of software tampering.
  • Consult Mitre ATT&CK documentation: T1547.001 - Registry Run Keys/Startup Folder.
  • 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).