Top issues
Problem
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. One or more embedded URLs were discovered to link to raw files hosted on GitHub. Attackers often abuse popular web services to host malicious payloads. Since code-sharing services URLs are typically allowed by security solutions, using them for payload delivery increases the odds that the malicious code will reach the user. While the presence of code-sharing service locations does not imply malicious intent, all of their uses in a software package should be documented and approved. An increasing number of software supply chain attacks in the open source space leverages the GitHub service to deliver malicious payloads.Prevalence in PyPI community
33 packages
found in
Top 100
206 packages
found in
Top 1k
1631 packages
found in
Top 10k
63840 packages
in community
Next steps
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 an alternative delivery mechanism for software packages.
Detected presence of software components that had a recent malware or tampering incident.
Causes risk: components with malware history
hunting
Problem
Software developers use programming and design knowledge to build reusable software components. Software components are the basic building blocks for modern applications. Software consumed by an enterprise consists of hundreds, and sometimes even thousands of open source components. Software developers publish components they have authored to public repositories. Some open source projects have a history of security lapses that culminated with a publication of one or more malicious component versions. To ensure that repeated supply chain incidents do not occur, the open source project should be closely monitored for up to two years. All software package versions that are published within two years of the malware incident will convey a warning about the history of security incidents tied to the open source project.Prevalence in PyPI community
No prevalence information at this timeNext steps
Inspect behaviors exhibited by the detected software components.
If the software behaviors differ from expected, investigate the build and release environment for software supply chain compromise.
Revise the use of components that raise these alarms. If you can't deprecate those components, make sure that their versions are pinned.
Avoid using this software package until it is vetted as safe.
Detected presence of software components distributed with copyleft licenses.
Causes risk: copyleft licensed components
licenses
Problem
Software license is a legal instrument that governs the use and distribution of software source code and its binary representation. Software publishers have the freedom to choose any commonly used or purposefully written license to publish their work under. While some licenses are liberal and allow almost any kind of distribution, with or without code modification, other licenses are more restrictive and impose rules for their inclusion in other software projects. Copyleft licenses in particular impose substantial restrictions on the licensee. They typically require that any derived works, and even software code that merely interacts with copyleft code, be licensed under the same license. Since copyleft licenses are commonly applied to open source code, their inclusion requires that the entire software package becomes open sourced. For commercial applications, this is typically undesirable. Therefore, the inclusion of copyleft code is commonly avoided or even prohibited by the organization policy.Prevalence in PyPI community
3 packages
found in
Top 100
38 packages
found in
Top 1k
655 packages
found in
Top 10k
98491 packages
in community
Next steps
Confirm that the software package includes a copyleft component.
Investigate if the software publisher provides this component under a non-copyleft license.
Consider replacing the software component with an alternative that offers a license compatible with commercial use.
Detected presence of licenses that place restrictions on software distribution.
Causes risk: software distribution restrictions
licenses
Problem
Software license is a legal instrument that governs the use and distribution of software source code and its binary representation. Software publishers have the freedom to choose any commonly used or purposefully written license to publish their work under. While some licenses are liberal and allow almost any kind of distribution, with or without code modification, other licenses are more restrictive and impose rules for their inclusion in other software projects. Some software licenses place restrictions on software distribution of the code they apply to. These restrictions may extend to the services built upon the code licensed under such restrictive licenses. Some restrictive licenses explicitly state that the licensee may not provide the software to third parties as a hosted or managed service, where the service provides users with access to any substantial set of the features or functionality of the licensed software. When building commercial applications, this is typically undesirable. Therefore, the inclusion of any code that may impose limits on software distribution is commonly avoided or even prohibited by the organization policy.Prevalence in PyPI community
6 packages
found in
Top 100
50 packages
found in
Top 1k
737 packages
found in
Top 10k
99544 packages
in community
Next steps
Confirm that the software package references a component or a dependency with a restrictive license.
Consider replacing the software component with an alternative that offers a license compatible with organization policy.
Problem
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. Top-level domains (TLD) are a part of the Domain Name System (DNS), and are used to lookup an Internet Protocol (IP) address of a requested website. There are a few different types of top-level domains. Generic, sponsored and country-code TLDs are generally accessible to the public. Registrars that govern the assignment of domain names within the TLD may choose to sell specific domain names to an interested party. However, some registrars are known to have less strict rules for assigning domain names. Attackers often abuse gaps in governance and actively seek to register their malicious domains in such TLDs. This issue is raised for all domains registered within TLDs that harbor an excessive number of malicious sites. While the presence of suspicious TLDs does not imply malicious intent, all of its uses in a software package should be documented and approved.Prevalence in PyPI community
12 packages
found in
Top 100
83 packages
found in
Top 1k
478 packages
found in
Top 10k
15910 packages
in community
Next steps
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 changing the top-level domain to avoid being flagged by security solutions.
Top behaviors
Might contain potentially obfuscated code or data.
anomaly
Prevalence in PyPI community
Behavior often found in this community (Common)
13 packages
found in
Top 100
92 packages
found in
Top 1k
565 packages
found in
Top 10k
24963 packages
in community
Encrypts data using Advanced Encryption Standard (AES).
packer
Prevalence in PyPI community
Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
15 packages
found in
Top 1k
145 packages
found in
Top 10k
4801 packages
in community
Encodes data using the Base64 algorithm.
packer
Prevalence in PyPI community
Behavior often found in this community (Common)
39 packages
found in
Top 100
280 packages
found in
Top 1k
1754 packages
found in
Top 10k
67026 packages
in community
Decrypts data using Advanced Encryption Standard (AES).
packer
Prevalence in PyPI community
Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
15 packages
found in
Top 1k
154 packages
found in
Top 10k
5744 packages
in community
Decodes data using the Base64 algorithm.
packer
Prevalence in PyPI community
Behavior often found in this community (Common)
40 packages
found in
Top 100
253 packages
found in
Top 1k
1433 packages
found in
Top 10k
53416 packages
in community
Top vulnerabilities
Vulnerability Exploitation Lifecycle
(2 Active Vulnerabilities)
None
None
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated