Top issues
Detected presence of potentially unwanted applications.
Causes risk: undesirable applications found
threats
Problem
Potentially unwanted applications (PUAs) can be considered a risk by some software users. This threat type typically collects private user data, or in more extreme cases, tampers with system security settings. Most threat prevention solutions detect and block PUAs. Software packages that trigger security solution detections also tend to increase the number of support calls and open tickets from users.Prevalence in PyPI community
0 packages
found in
Top 100
3 packages
found in
Top 1k
54 packages
found in
Top 10k
1.75k packages
in community
Next steps
Revise the use of components that raise these alarms. If you can't deprecate those components, make sure they are well-documented.
Detected presence of software components that were recently published to the public package repository.
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. While a new software project is a welcome addition to the open source community, it is not always prudent to indiscriminately use the latest components when building a commercial application. Irrespective of the software quality, the danger of being the first to try out a new project lies in the fact that the software component may contain novel, currently undetected malicious code. Therefore, it is prudent to review software component behaviors and even try out software component in a sandbox, an environment meant for testing untrusted code.Prevalence in PyPI community
0 packages
found in
Top 100
0 packages
found in
Top 1k
5 packages
found in
Top 10k
38.63k packages
in community
Next steps
Check the software component behaviors for anomalies.
Consider exploratory software component testing within a sandbox environment.
Consider replacing the software component with a more widely used alternative.
Avoid using this software package until it is vetted as safe.
Detected presence of software components that have low popularity or number of downloads.
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. While a new software project is a welcome addition to the open source community, it is not always prudent to indiscriminately use the latest components when building a commercial application. Irrespective of the software quality, the danger of being the first to try out a new project lies in the fact that the software component may contain novel, currently undetected malicious code. Therefore, it is prudent to review software component behaviors and even try out software component in a sandbox, an environment meant for testing untrusted code.Prevalence in PyPI community
1 packages
found in
Top 100
13 packages
found in
Top 1k
37 packages
found in
Top 10k
443.06k packages
in community
Next steps
Check the software component behaviors for anomalies.
Consider exploratory software component testing within a sandbox environment.
Consider replacing the software component with a more widely used alternative.
Avoid using this software package until it is vetted as safe.
Detected presence of software components that are rarely included by other public software packages.
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. While a new software project is a welcome addition to the open source community. it is not always prudent to indiscriminately use the latest components when building a commercial application. Irrespective of the software quality, the danger of using components that are rarely used to build applications lies in the fact that the software component may contain novel, currently undetected malicious code. Therefore, it is prudent to review software component behaviors and even try out software component in a sandbox, an environment meant for testing untrusted code.Prevalence in PyPI community
1 packages
found in
Top 100
11 packages
found in
Top 1k
910 packages
found in
Top 10k
717.09k packages
in community
Next steps
Check the software component behaviors for anomalies.
Consider exploratory software component testing within a sandbox environment.
Consider replacing the software component with a more widely used alternative.
Avoid using this software package until it is vetted as safe.
Top behaviors
Contains IP addresses.
network
Prevalence in PyPI community
Behavior often found in this community (Common)
67 packages
found in
Top 100
525 packages
found in
Top 1k
4055 packages
found in
Top 10k
154.83k packages
in community
Connects to a database.
network
Prevalence in PyPI community
Behavior often found in this community (Common)
7 packages
found in
Top 100
57 packages
found in
Top 1k
383 packages
found in
Top 10k
18.3k packages
in community
Renames a file or directory.
file
Prevalence in PyPI community
Behavior often found in this community (Common)
68 packages
found in
Top 100
540 packages
found in
Top 1k
3680 packages
found in
Top 10k
150.76k packages
in community
Contains URLs that reference the host by IP address.
network
Prevalence in PyPI community
Behavior often found in this community (Common)
37 packages
found in
Top 100
269 packages
found in
Top 1k
1633 packages
found in
Top 10k
59.6k packages
in community
Queries the value of an environment variable.
search
Prevalence in PyPI community
Behavior often found in this community (Common)
73 packages
found in
Top 100
614 packages
found in
Top 1k
4460 packages
found in
Top 10k
173.79k packages
in community
Top vulnerabilities
No vulnerabilities found.