Top issues
Problem
Software components contain executable code that performs actions implemented during its development. These actions are called behaviors. In the analysis report, behaviors are presented as human-readable descriptions that best match the underlying code intent. While most behaviors are benign, some are commonly abused by malicious software with the intent to cause harm. When a software package shares behavior traits with malicious software, it may become flagged by security solutions. Any detection from security solutions can cause friction for the end-users during software deployment. While the behavior is likely intended by the developer, there is a small chance this detection is true positive, and an early indication of a software supply chain attack.Prevalence in PyPI community
20 packages
found in
Top 100
92 packages
found in
Top 1k
907 packages
found in
Top 10k
43.88k packages
in community
Next steps
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 flagged code without using the marked behaviors.
Detected presence of software components authored by developers with anonymous email service accounts.
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. Open source communities depend on the work of thousands of software developers that volunteer their time to maintain software components. Software developers build up their reputation by being transparent. The person behind the public-facing alias is just as important as the alias itself. Developers rarely opt to use anonymous email service accounts that hide the link between their alias and the person behind it. Software components published by anonymized developer accounts often relate to activities that are unsuited for enterprise consumption.Prevalence in PyPI community
2 packages
found in
Top 100
12 packages
found in
Top 1k
117 packages
found in
Top 10k
17.03k packages
in community
Next steps
Investigate reported detections.
You should consider delaying the software release until the investigation is completed, or until the issue is risk accepted.
Consider replacing the software component with an alternative.
Top behaviors
The software package was developed by a user registered with an anonymous email address.
anomaly
Prevalence in PyPI community
Behavior commonly used by malicious software (Important)
Behavior uncommon for this community (Uncommon)
2 packages
found in
Top 100
12 packages
found in
Top 1k
117 packages
found in
Top 10k
17.03k packages
in community
Contains unusually long strings.
anomaly
Prevalence in PyPI community
Behavior often found in this community (Common)
51 packages
found in
Top 100
408 packages
found in
Top 1k
2829 packages
found in
Top 10k
106.17k packages
in community
Creates shortcuts during installation or upon launch.
file
Prevalence in PyPI community
Behavior often found in this community (Common)
20 packages
found in
Top 100
182 packages
found in
Top 1k
1802 packages
found in
Top 10k
186.71k packages
in community
Converts binary data to its string representation, commonly used in obfuscation.
packer
Prevalence in PyPI community
Behavior often found in this community (Common)
67 packages
found in
Top 100
586 packages
found in
Top 1k
4061 packages
found in
Top 10k
146.39k packages
in community
Contains references to anonymous e-mail providers.
network
Prevalence in PyPI community
Behavior often found in this community (Common)
9 packages
found in
Top 100
43 packages
found in
Top 1k
257 packages
found in
Top 10k
19.77k packages
in community
Top vulnerabilities
No vulnerabilities found.