Spectra Assure

failIncident: Malware

Scanned:

moveworks-pipeline-test

Artifact:

latest

malicious

Research

License: unknown

Published:

See on PyPI

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

2 malware-like behaviors found

Malware

3 analyst-vetted malware found

INCIDENTS FOR THIS VERSION:

malware

Reported By: Community (OpenSSF)

More info

malware

Reported By: ReversingLabs (Researcher)

Learn more about malware detection

malware

Reported By: ReversingLabs (Automated)

Learn more about malware detection

malware

N/AReported By: Community (Badpackages)

More info

Popularity

177

Total Downloads

Contributors

Declared Dependencies

Dependents

Top issues

See all 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

Threat researchers have manually inspected the software package and determined that it contains one or more malicious files. The detection was made by a hash-based file reputation lookup. This malware detection method is considered highly accurate, and can typically identify the malware family by name.

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

10 packages

found in

Top 10k

14.02k packages

in community

Next steps

Investigate the build and release environment for software supply chain compromise.

Avoid using this software package.

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 exclusively used by malicious software with the intent to cause harm. When a software package matches behavior traits of malicious software, it becomes flagged by security solutions. It is highly likely that the software package was tampered with by a malicious actor or a rogue insider. Detected threat type matches the behaviors typically exhibited by the infostealer malware profile. Infostealers are commonly used to steal sensitive user data such as stored login details, financial information, and other personally identifiable information.

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

3 packages

found in

Top 10k

2.05k packages

in community

Next steps

Investigate reported detections.

Investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed.

In the case this behavior is intended, rewrite the flagged code without using the malware-like behaviors.

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. Python Package Index (PyPI) repository is often abused by threat actors to publish software packages that exhibit malicious behaviors. Malware authors use numerous tactics to lure developers into including malicious PyPI packages in their software projects. Most malicious packages published on PyPI target developers and their workstations. However, some are designed to activate only when deployed in the end-user environment. Both types of Python malicious packages are detected by proprietary ReversingLabs threat hunting algorithms. This detection method is considered proactive, and it is based on Machine Learning (ML) algorithms that can detect novel malware. The detection is strongly influenced by behaviors that software components exhibit. Behaviors similar to previously discovered malware and software supply chain attacks may cause some otherwise benign software packages to be detected by this policy.

Prevalence in PyPI community

1 packages

found in

Top 100

18 packages

found in

Top 1k

104 packages

found in

Top 10k

16.5k 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.

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

11 packages

found in

Top 100

41 packages

found in

Top 1k

239 packages

found in

Top 10k

11.68k 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.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)

30 packages

found in

Top 100

166 packages

found in

Top 1k

1155 packages

found in

Top 10k

31.66k packages

in community

Prevalence in PyPI community

Behavior commonly used by malicious software (Important)

Behavior often found in this community (Common)

11 packages

found in

Top 100

42 packages

found in

Top 1k

239 packages

found in

Top 10k

11.69k packages

in community

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)

0 packages

found in

Top 100

3 packages

found in

Top 1k

8 packages

found in

Top 10k

334 packages

in community

Prevalence in PyPI community

Behavior commonly used by malicious software (Important)

Behavior uncommon for this community (Uncommon)

0 packages

found in

Top 100

13 packages

found in

Top 1k

71 packages

found in

Top 10k

4.24k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

70 packages

found in

Top 100

472 packages

found in

Top 1k

4207 packages

found in

Top 10k

413.79k packages

in community

Top vulnerabilities

No vulnerabilities found.

FAQ for moveworks-pipeline-test

Is moveworks-pipeline-test malicious or is it safe to use?

The Python package moveworks-pipeline-test was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. Malware or tampering has been detected, making it unsafe to download and use. 2 other issues and risky behaviors were found. The package contains risks, and the analysis results should be reviewed before it is downloaded and used. Visit the Issues and Behaviors sections of the analysis for more details. All versions of the moveworks-pipeline-test package were malicious.

Is moveworks-pipeline-test popular?

The Python package moveworks-pipeline-test is not widely used. It has 177 recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

How do I secure moveworks-pipeline-test once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how moveworks-pipeline-test behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a moveworks-pipeline-test version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.

Did you know...

... that you can use ReversingLabs’ Spectra Assure platform to perform regular risk assessments of packages you develop in-house?

We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.

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Popularity

177

Total Downloads

Contributors

Declared Dependencies

Dependents

Top issues

See all issues

Problem

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

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

10 packages

found in

Top 10k

14.02k packages

in community

Next steps

Investigate the build and release environment for software supply chain compromise.

Avoid using this software package.

Problem

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

3 packages

found in

Top 10k

2.05k packages

in community

Next steps

Investigate reported detections.

Investigate your build and release environment for software supply chain compromise.

You should delay the software release until the investigation is completed.

In the case this behavior is intended, rewrite the flagged code without using the malware-like behaviors.

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. Python Package Index (PyPI) repository is often abused by threat actors to publish software packages that exhibit malicious behaviors. Malware authors use numerous tactics to lure developers into including malicious PyPI packages in their software projects. Most malicious packages published on PyPI target developers and their workstations. However, some are designed to activate only when deployed in the end-user environment. Both types of Python malicious packages are detected by proprietary ReversingLabs threat hunting algorithms. This detection method is considered proactive, and it is based on Machine Learning (ML) algorithms that can detect novel malware. The detection is strongly influenced by behaviors that software components exhibit. Behaviors similar to previously discovered malware and software supply chain attacks may cause some otherwise benign software packages to be detected by this policy.

Prevalence in PyPI community

1 packages

found in

Top 100

18 packages

found in

Top 1k

104 packages

found in

Top 10k

16.5k 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.

Problem

Prevalence in PyPI community

11 packages

found in

Top 100

41 packages

found in

Top 1k

239 packages

found in

Top 10k

11.68k 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.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)

30 packages

found in

Top 100

166 packages

found in

Top 1k

1155 packages

found in

Top 10k

31.66k packages

in community

Prevalence in PyPI community

Behavior commonly used by malicious software (Important)

Behavior often found in this community (Common)

11 packages

found in

Top 100

42 packages

found in

Top 1k

239 packages

found in

Top 10k

11.69k packages

in community

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)

0 packages

found in

Top 100

3 packages

found in

Top 1k

8 packages

found in

Top 10k

334 packages

in community

Prevalence in PyPI community

Behavior commonly used by malicious software (Important)

Behavior uncommon for this community (Uncommon)

0 packages

found in

Top 100

13 packages

found in

Top 1k

71 packages

found in

Top 10k

4.24k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

70 packages

found in

Top 100

472 packages

found in

Top 1k

4207 packages

found in

Top 10k

413.79k packages

in community

Top vulnerabilities

No vulnerabilities found.

moveworks-pipeline-test

SAFE Assessment

Compliance

Security

Threats

IMPORTANT: All versions of this package have been maliciousLatest version with malware incident detected: about 2 months agoVersion: 2.0.0

INCIDENTS FOR THIS VERSION:

Popularity

Top issues

SQ30103Detected presence of potentially unwanted applications.Causes risk: undesirable applications foundthreats

Problem

Prevalence in PyPI community

Next steps

SQ30109Detected presence of malicious files through analyst-vetted file reputation.Causes risk: analyst-vetted malware foundthreats

Problem

Prevalence in PyPI community

Next steps

TH15108Detected presence of files with behaviors that match the infostealer malware profile.Causes risk: malware-like behaviors foundhunting

Problem

Prevalence in PyPI community

Next steps

TH15501Detected presence of files with behaviors similar to malicious packages published on PyPI.Causes risk: suspicious application behaviorshunting

Problem

Prevalence in PyPI community

Next steps

TH17131Detected presence of files containing domains used for intercepting and inspecting HTTP requests.hunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

Opens a URL.network

Prevalence in PyPI community

Contains domains used for intercepting and inspecting HTTP requests.network

Prevalence in PyPI community

Contains URLs related to webhook debugging services.network

Prevalence in PyPI community

Contains URLs related to IP querying services.network

Prevalence in PyPI community

The software package does not declare any source code repository.anomaly

Prevalence in PyPI community

Top vulnerabilities

FAQ for moveworks-pipeline-test

Is moveworks-pipeline-test malicious or is it safe to use?

Is moveworks-pipeline-test popular?

How do I secure moveworks-pipeline-test once it is in my app?

Did you know...

Popularity

Top issues

SQ30103Detected presence of potentially unwanted applications.Causes risk: undesirable applications foundthreats

Problem

Prevalence in PyPI community

Next steps

SQ30109Detected presence of malicious files through analyst-vetted file reputation.Causes risk: analyst-vetted malware foundthreats

Problem

Prevalence in PyPI community

Next steps

TH15108Detected presence of files with behaviors that match the infostealer malware profile.Causes risk: malware-like behaviors foundhunting

Problem

Prevalence in PyPI community

Next steps

TH15501Detected presence of files with behaviors similar to malicious packages published on PyPI.Causes risk: suspicious application behaviorshunting

Problem

Prevalence in PyPI community

Next steps

TH17131Detected presence of files containing domains used for intercepting and inspecting HTTP requests.hunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

Opens a URL.network

Prevalence in PyPI community

Contains domains used for intercepting and inspecting HTTP requests.network

Prevalence in PyPI community

Contains URLs related to webhook debugging services.network

Prevalence in PyPI community

Contains URLs related to IP querying services.network

Prevalence in PyPI community

The software package does not declare any source code repository.anomaly

Prevalence in PyPI community

Top vulnerabilities