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TH17104

Detected presence of files containing URLs related to paste-and-share services.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
passlowhighNoneNone

About the issueโ€‹

Uniform Resource Locators (URLs) are structured addresses that point to locations and assets on the internet. URLs allow software developers to build complex applications that exchange data with servers that can be hosted in multiple geographical regions. URLs can commonly be found embedded in documentation, configuration files, source code and compiled binaries. Paste-and-share services are websites that allow their users to easily share code snippets and simple plain text documents. Users typically do not need to be registered on the website to publish and access shared information. For this reason, paste-and-share services are commonly used by malicious actors to deliver stages of their malware payloads. Many software supply chain attacks in the open source space leverage paste-and-share services to deliver malicious payloads. Presence of paste-and-share service references does not imply malicious intent. Software developers commonly include links to such services as documentation for various issues they encounter while writing and maintaining code bases.

How to resolve the issueโ€‹

  • Investigate reported detections.
  • If the software should not include these network references, investigate your build and release environment for software supply chain compromise.
  • You should delay the software release until the investigation is completed, or until the issue is risk accepted.
  • Consider removing all references to flagged network locations.

Incidence statisticsโ€‹

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).

  • Pastebin (External resource - Wikipedia)