Spectra Assure
Community
failIncident: Malware
Scanned: 1 day ago

lium-4.96

Artifact:
A custom CLI tool for Lium. Lium CLI provides tools for interacting with the Lium ecosystem from the command line.
License: Permissive (MIT)
Published: 17 days ago




SAFE Assessment

Compliance

Licenses
1 software distribution restrictions
Secrets
No sensitive information found

Security

Vulnerabilities
1 low severity vulnerabilities
Hardening
No application hardening issues

Threats

Tampering
1 components prone to hijacking
Malware
2 undesirable applications found

INCIDENTS FOR THIS VERSION:

malware
1 day agoReported By: ReversingLabs (Automated)
Learn more about malware detection
removal
about 7 hours agoReported By: Community

Popularity

126
Total Downloads
Contributors
Declared Dependencies
0
Dependents

Top issues

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.

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. Open source projects are the intellectual property of their respective authors. At any time, the authors may choose to completely remove the software component from a public repository. This often occurs when a software project reaches its end-of-life stage, or when the software authors lose interest in maintaining the project. This kind of removal frees up the software package name, its unique software identifier in the public repository, for other developers to use. However, new software project owners might have malicious intent. Threat actors are continuously monitoring popular package names in case their unique identifiers suddenly become available for hijacking. Once the software projects falls under new ownership, the new maintainers may opt to use the project popularity to spread malware to unsuspecting users.

Prevalence in PyPI community

0 packages
found in
Top 100
1 packages
found in
Top 1k
20 packages
found in
Top 10k
83.87k 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

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.

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.

Problem

Software license is a legal instrument that governs the use and distribution of software source code and its binary representation. Software publishers have the freedom to choose any commonly used or purposefully written license to publish their work under. While some licenses are liberal and allow almost any kind of distribution, with or without code modification, other licenses are more restrictive and impose rules for their inclusion in other software projects. Some software licenses place restrictions on software distribution of the code they apply to. These restrictions may extend to the services built upon the code licensed under such restrictive licenses. Some restrictive licenses explicitly state that the licensee may not provide the software to third parties as a hosted or managed service, where the service provides users with access to any substantial set of the features or functionality of the licensed software. When building commercial applications, this is typically undesirable. Therefore, the inclusion of any code that may impose limits on software distribution is commonly avoided or even prohibited by the organization policy.

Prevalence in PyPI community

7 packages
found in
Top 100
82 packages
found in
Top 1k
1208 packages
found in
Top 10k
109.57k packages
in community

Next steps

Confirm that the software package references a component or a dependency with a restrictive license.
Consider replacing the software component with an alternative that offers a license compatible with organization policy.

Top behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
14 packages
found in
Top 100
98 packages
found in
Top 1k
585 packages
found in
Top 10k
18.68k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
10 packages
found in
Top 100
93 packages
found in
Top 1k
490 packages
found in
Top 10k
15.62k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
9 packages
found in
Top 100
66 packages
found in
Top 1k
290 packages
found in
Top 10k
8.75k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
10 packages
found in
Top 100
78 packages
found in
Top 1k
317 packages
found in
Top 10k
9.18k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
17 packages
found in
Top 100
126 packages
found in
Top 1k
796 packages
found in
Top 10k
25.62k packages
in community

Top vulnerabilities

Vulnerability Exploitation Lifecycle
(1 Active Vulnerabilities)
1 (1 Fixable)
CVE-2025-53643l
None
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated