Top issues
Detected presence of severe vulnerabilities with active exploitation.
Causes risk: actively exploited vulnerabilities
vulnerabilities
Problem
Software composition analysis has identified a component with one or more known severe vulnerabilities. Available threat intelligence telemetry has confirmed that the reported high or critical severity vulnerabilities are actively being exploited by malicious actors.Prevalence in PyPI community
38 packages
found in
Top 100
303 packages
found in
Top 1k
2611 packages
found in
Top 10k
103184 packages
in community
Next steps
We strongly advise updating 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 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.
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
No prevalence information at this timeNext 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.
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 the reputation of their open source projects by developing in public. Modern source code repositories have many social features that allow software developers to handle bug reports, have discussions with their users, and convey reaching significant project milestones. It is uncommon to find open source projects that omit linking their component to a publicly accessible source code repository.Prevalence in PyPI community
No prevalence information at this timeNext 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
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
Opens a TCP connection to a remote server.
network
Prevalence in PyPI community
Behavior often found in this community (Common)
16 packages
found in
Top 100
128 packages
found in
Top 1k
776 packages
found in
Top 10k
25965 packages
in community
Contains IP addresses.
network
Prevalence in PyPI community
Behavior often found in this community (Common)
67 packages
found in
Top 100
520 packages
found in
Top 1k
3993 packages
found in
Top 10k
158349 packages
in community
Contains unusually long strings.
anomaly
Prevalence in PyPI community
Behavior often found in this community (Common)
49 packages
found in
Top 100
364 packages
found in
Top 1k
2374 packages
found in
Top 10k
87567 packages
in community
Enumerates system information.
search
Prevalence in PyPI community
Behavior often found in this community (Common)
43 packages
found in
Top 100
264 packages
found in
Top 1k
1666 packages
found in
Top 10k
47165 packages
in community
Top vulnerabilities
Vulnerability Exploitation Lifecycle
(5 Active Vulnerabilities)
2 (1 Fixable)
CVE-2024-35195m
CVE-2025-50817m
3 (3 Fixable)
CVE-2022-40899h
CVE-2023-32681m
CVE-2024-47081m
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated