Top issues
Detected presence of high severity vulnerabilities.
Causes risk: high 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 high severity.Prevalence in PyPI community
50 packages
found in
Top 100
352 packages
found in
Top 1k
2858 packages
found in
Top 10k
108771 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.
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
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
0 packages
found in
Top 100
2 packages
found in
Top 1k
7 packages
found in
Top 10k
1009 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
10 packages
found in
Top 1k
109 packages
found in
Top 10k
17243 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
Modifies file/directory permissions.
permissions
Prevalence in PyPI community
Behavior often found in this community (Common)
34 packages
found in
Top 100
185 packages
found in
Top 1k
1062 packages
found in
Top 10k
25867 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
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
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
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 often found in this community (Common)
2 packages
found in
Top 100
10 packages
found in
Top 1k
109 packages
found in
Top 10k
17243 packages
in community
Top vulnerabilities
Vulnerability Exploitation Lifecycle
(2 Active Vulnerabilities)
1 (1 Fixable)
CVE-2024-39689h
1 (1 Fixable)
CVE-2025-50181m
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated