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 were removed from the public package repository.
Causes risk: components prone to hijacking
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. Open source projects are the intellectual property of their respective authors. At any time, the authors may choose to completely remove the software component from a public repository. This often occurs when a software project reaches its end-of-life stage, or when the software authors lose interest in maintaining the project. This kind of removal frees up the software package name, its unique software identifier in the public repository, for other developers to use. However, new software project owners might have malicious intent. Threat actors are continuously monitoring popular package names in case their unique identifiers suddenly become available for hijacking. Once the software projects falls under new ownership, the new maintainers may opt to use the project popularity to spread malware to unsuspecting users.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 medium severity vulnerabilities.
Causes risk: medium severity vulnerabilities
vulnerabilities
Problem
Software composition analysis has identified a component with one or more known vulnerabilities. Based on the CVSS scoring, these vulnerabilities have been marked as medium severity.Prevalence in PyPI community
48 packages
found in 
Top 100
 311 packages
found in 
Top 1k
 2806 packages
found in 
Top 10k
 142146 packages
in community
Next steps
Perform impact analysis for the reported CVEs.
Update the component to the latest version.
If the update can't resolve the issue, create a plan to isolate or replace the affected component.
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.
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. A port number is associated with a network address of a host, such as an IP address, and the type of network protocol used for communication. Within URLs, the ports are optional. Ports can be specified in a URL immediately following the domain name. Each network protocol, or schema, has a set of standard ports on which the service operates. This issue is raised when a mismatch between a network protocol and its expected port number is detected. While the presence of non-standard ports does not imply malicious intent, all of their uses in a software package should be documented and approved.Prevalence in PyPI community
34 packages
found in 
Top 100
 261 packages
found in 
Top 1k
 1650 packages
found in 
Top 10k
 58747 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 port to one that is standard for the networking protocol.
Top behaviors
Contains URLs that link to raw files on GitHub.
network
Prevalence in PyPI community
Behavior often found in this community (Common)
33 packages
found in 
Top 100
 207 packages
found in 
Top 1k
 1634 packages
found in 
Top 10k
 63910 packages
in community
Contains URLs that link to interesting file formats.
network
Prevalence in PyPI community
Behavior often found in this community (Common)
75 packages
found in 
Top 100
 451 packages
found in 
Top 1k
 3488 packages
found in 
Top 10k
 109392 packages
in community
Creates a process.
execution
Prevalence in PyPI community
Behavior often found in this community (Common)
68 packages
found in 
Top 100
 508 packages
found in 
Top 1k
 3570 packages
found in 
Top 10k
 165477 packages
in community
Overrides the default behavior of Python setuptool commands.
anomaly
Prevalence in PyPI community
Behavior often found in this community (Common)
26 packages
found in 
Top 100
 157 packages
found in 
Top 1k
 1202 packages
found in 
Top 10k
 28931 packages
in community
Contains Maestro credit card numbers.
steal
Prevalence in PyPI community
Behavior often found in this community (Common)
10 packages
found in 
Top 100
 53 packages
found in 
Top 1k
 258 packages
found in 
Top 10k
 4520 packages
in community
Top vulnerabilities
Vulnerability Exploitation Lifecycle
(1 Active Vulnerabilities)
1 (1 Fixable)
CVE-2025-4565m
None
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated