TH16508
Detected presence of package manifests that can collect sensitive system information.
| priority | CI/CD status | severity | effort | SAFE level | SAFE assessment |
|---|---|---|---|---|---|
 | fail | high | high | 1 | tampering: fail Reason: dangerous package manifests |
About the issue
Many popular programming languages use standardized software packaging formats to distribute reusable code components. Software packages are built from instructions written within package manifests that act as blueprints for package assembly. A package manifest declares the most important software properties, such as the package name, its authors and license, external dependencies, and various actions that may occur during the package lifecycle. Actions defined within the package manifest are executed automatically by the package manager during events such as package installation, compilation, testing, or on package removal. It is unusual for a package manifest to execute commands that can collect sensitive system information. Attackers often abuse package manifests to run commands that collect identifiable system information such as hostnames, user names, folder structures, and other data points that could help them understand the environment in which their malicious code was installed.
How to resolve the issue
- Investigate reported detections.
- If the software intent does not relate to the reported behavior, 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 rewriting the package manifest 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