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TH16125

Detected presence of software components that can access third-party application databases.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
passmediumhighNoneNone

About the issue​

Installed software stores sensitive user information in application-specific databases. For third-party applications, this sensitive information may include stored passwords, sensitive files and other user communications. These databases are typically not protected from unauthorized access for user convenience. Any encryption they might employ is easily bypassed, as the encryption keys are commonly stored alongside the data. For this reason, attackers often aim to gain access to third-party application databases and exfiltrate collected data to a remote server. While the presence of code that accesses third-party databases 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 can interact with sensitive user information. One example of acceptable use for such functions is extending third-party application functionality through natively developed plugins.

How to resolve the issue​

  • Investigate reported detections as indicators of software tampering.
  • Consult Mitre ATT&CK documentation: T1005 - Data from Local System.
  • 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).