Spectra Assure
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failIncident: Malware
Scanned: 1 day ago

kirux189894

Artifact:
latest
malicious
Research
License: unknown
Published: 15 days ago


SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
No application hardening issues

Threats

Tampering
No evidence of software tampering
Malware
1 undesirable applications found

INCIDENTS:

malware
7 days agoReported By: ReversingLabs (Researcher)
Learn more about malware detection
malware
1 day agoReported By: ReversingLabs (Automated)
Learn more about malware detection

Popularity

279
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

1 packages
found in
Top 100
5 packages
found in
Top 1k
18 packages
found in
Top 10k
1306 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

Applications communicate with web services by exchanging HTTP requests. During software development, externally hosted services are used by developers to debug software quality issues relating to exchanging HTTP requests. Attackers commonly abuse tools designed for HTTP request inspection to monitor network traffic and extract sensitive information from the HTTP traffic. While the presence of domains related to HTTP inspection does not imply malicious intent, all of their uses in a software package should be documented and approved. Attackers might have purposely injected security testing tools in the software package to monitor the network traffic of the infected computer system. It is also possible that the software package has mistakenly included a part of its testing infrastructure during packaging.

Prevalence in PyPI community

10 packages
found in
Top 100
39 packages
found in
Top 1k
229 packages
found in
Top 10k
11208 packages
in community

Next steps

Investigate reported detections.
If the software should not include these network references, 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 removing all references to flagged network locations.

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

No prevalence information at this time

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

No prevalence information at this time

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 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.

Top behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
30 packages
found in
Top 100
161 packages
found in
Top 1k
1162 packages
found in
Top 10k
32895 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
32 packages
found in
Top 100
280 packages
found in
Top 1k
2165 packages
found in
Top 10k
147011 packages
in community

Prevalence in PyPI community

Behavior commonly used by malicious software (Important)
Behavior often found in this community (Common)
10 packages
found in
Top 100
41 packages
found in
Top 1k
230 packages
found in
Top 10k
11239 packages
in community

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

No behavior prevalence information at this time

Top vulnerabilities

No vulnerabilities found.