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
36 packages
found in
Top 100
219 packages
found in
Top 1k
1678 packages
found in
Top 10k
63.41k 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
2 packages
found in
Top 100
18 packages
found in
Top 1k
110 packages
found in
Top 10k
1.99k packages
in community
Next 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.
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
35 packages
found in
Top 100
271 packages
found in
Top 1k
1732 packages
found in
Top 10k
61.12k 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
Encodes data using the Base64 algorithm.
packer
Prevalence in PyPI community
Behavior often found in this community (Common)
36 packages
found in
Top 100
281 packages
found in
Top 1k
1802 packages
found in
Top 10k
66.4k packages
in community
Decodes data using the Base64 algorithm.
packer
Prevalence in PyPI community
Behavior often found in this community (Common)
39 packages
found in
Top 100
252 packages
found in
Top 1k
1477 packages
found in
Top 10k
53.15k packages
in community
Contains URLs that link to raw files on GitHub.
network
Prevalence in PyPI community
Behavior often found in this community (Common)
36 packages
found in
Top 100
219 packages
found in
Top 1k
1678 packages
found in
Top 10k
63.42k packages
in community
Creates a process.
execution
Prevalence in PyPI community
Behavior often found in this community (Common)
69 packages
found in
Top 100
506 packages
found in
Top 1k
3612 packages
found in
Top 10k
163.85k packages
in community
Contains URLs that use non-standard ports.
network
Prevalence in PyPI community
Behavior often found in this community (Common)
35 packages
found in
Top 100
271 packages
found in
Top 1k
1741 packages
found in
Top 10k
61.42k packages
in community
Top vulnerabilities
No vulnerabilities found.