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SQ40104

Detected container images that might expose the SSH port.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
passhighmediumNonehardening: warning
Reason: exposed container ports

About the issue​

Containers are a simple, yet powerful approach to process and filesystem isolation. When configured correctly, a container runs a set of processes isolated from their host system. Containers typically run as executables or as services, but regardless of their use, they must be properly secured. Although remote access services (such as SSH) might seem practical for administration, their use can lead to bad practices like hard-coded credentials and keys, and can additionally increase the attack surface by providing an obvious entry point in an environment.

How to resolve the issue​

  • Avoid running remote access services such as SSH.
  • Check if there's a running SSH daemon or service in the container's process list bound to port 22, or if one is executed on startup, and remove it.

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).