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Quarantine

Scanned:

lucy-python-script-2030

Artifact:

latest

A Python script with automated system utilities

License: Permissive (MIT)

New!

Published:

See on PyPI

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

No sensitive information found

Security

Vulnerabilities

1 severe vulnerabilities exploited

Hardening

No application hardening issues

Threats

Tampering

1 quarantined components found

Malware

No evidence of malware inclusion

Overview issues15 vulnerabilities2 malware0 behaviors114 dependencies13 contributors1 versions3

Popularity

398

Total Downloads

Contributor

Declared Dependencies

Dependents

Top issues

See all issues

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

35 packages

found in

Top 100

210 packages

found in

Top 1k

1787 packages

found in

Top 10k

86.39k 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.

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. The ReversingLabs community package index may place software packages into quarantine during an ongoing security incident investigation. When a software project is placed into quarantine, it is typically unavailable for installation. Additionally, repository maintainers may also hide quarantined software projects from users that might stumble upon them using repository search functions. Quarantine is typically raised for software projects that were reported for unusual code changes or unexpected software behaviors.

Prevalence in PyPI community

No prevalence information at this time

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 they are well-documented.

Avoid using this software package until it is vetted as safe.

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

42 packages

found in

Top 100

278 packages

found in

Top 1k

1960 packages

found in

Top 10k

77.08k 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. 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

Software components sometimes need to interact with sensitive parts of the runtime environment, often requiring privileged access to accomplish a task. Cloud workload configuration includes high-value information such as cloud provider credentials, environment variables containing secrets, and configuration files used by cloud and container orchestration tools. That information is used by applications running in cloud and containerized environments. Attackers often abuse access to cloud workload configuration to harvest secrets from developer machines and build environments, which can later be exfiltrated to attacker-controlled infrastructure and used to gain unauthorized access to cloud resources. While the presence of code that accesses cloud workload configuration does not necessarily imply malicious intent, all of its uses in a software package should be documented and approved. Only select software components should consider using functions that read cloud workload configuration. One example of acceptable use for such functions is infrastructure-as-code tooling that legitimately needs to read credentials to provision or manage cloud resources on behalf of the developer.

Prevalence in PyPI community

No prevalence information at this time

Next steps

Investigate reported detections as indicators of software tampering.

Consult Mitre ATT&CK documentation: T1580 - Cloud Infrastructure Discovery.

Consider rewriting the flagged code without using the marked behaviors.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)

Behavior commonly used by malicious software (Important)

1 packages

found in

Top 100

4 packages

found in

Top 1k

8 packages

found in

Top 10k

5.74k 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

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

Behavior often found in this community (Common)

34 packages

found in

Top 100

186 packages

found in

Top 1k

1071 packages

found in

Top 10k

27.02k packages

in community

Top vulnerabilities

See all vulnerabilities

Vulnerability Exploitation Lifecycle

(2 Active Vulnerabilities)

1 (0 Fixable)

CVE-2019-9423h

1 (0 Fixable)

CVE-2019-5063h

None

Exploits Unknown

Exploits Exist

Exploited by Malware

Patching Mandated

FAQ for lucy-python-script-2030

What is lucy-python-script-2030?

A Python script with automated system utilities.

Is lucy-python-script-2030 malicious or is it safe to use?

The Python package lucy-python-script-2030 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. 1 other issue and risky behavior was 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.

Is lucy-python-script-2030 popular?

The Python package lucy-python-script-2030 is not widely used. It has 398 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 lucy-python-script-2030 once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how lucy-python-script-2030 behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a lucy-python-script-2030 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.

This website uses cookies to ensure the best website experience. By continuing to use this website you are giving your consent to cookies being used. Detailed information about our use of cookies is here.

Popularity

398

Total Downloads

Contributor

Declared Dependencies

Dependents

Top issues

See all issues

Problem

Prevalence in PyPI community

35 packages

found in

Top 100

210 packages

found in

Top 1k

1787 packages

found in

Top 10k

86.39k 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.

Problem

Prevalence in PyPI community

No prevalence information at this time

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 they are well-documented.

Avoid using this software package until it is vetted as safe.

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

42 packages

found in

Top 100

278 packages

found in

Top 1k

1960 packages

found in

Top 10k

77.08k 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

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

No prevalence information at this time

Next steps

Investigate reported detections as indicators of software tampering.

Consult Mitre ATT&CK documentation: T1580 - Cloud Infrastructure Discovery.

Consider rewriting the flagged code without using the marked behaviors.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)

Behavior commonly used by malicious software (Important)

1 packages

found in

Top 100

4 packages

found in

Top 1k

8 packages

found in

Top 10k

5.74k 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

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

Behavior often found in this community (Common)

34 packages

found in

Top 100

186 packages

found in

Top 1k

1071 packages

found in

Top 10k

27.02k packages

in community

Top vulnerabilities

See all vulnerabilities

Vulnerability Exploitation Lifecycle

(2 Active Vulnerabilities)

1 (0 Fixable)

CVE-2019-9423h

1 (0 Fixable)

CVE-2019-5063h

None

Exploits Unknown

Exploits Exist

Exploited by Malware

Patching Mandated

lucy-python-script-2030

SAFE Assessment

Compliance

Security

Threats

Popularity

Top issues

SQ31102Detected presence of severe vulnerabilities with active exploitation.Causes risk: actively exploited vulnerabilitiesvulnerabilities

Problem

Prevalence in PyPI community

Next steps

TH30102Detected presence of software components that are quarantined in the community package index.Causes risk: quarantined components foundhunting

Problem

Prevalence in PyPI community

Next steps

SQ31105Detected presence of high severity vulnerabilities.Causes risk: high severity vulnerabilitiesvulnerabilities

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

TH16130Detected presence of software components that can access sensitive cloud workload configuration.hunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

Starts a PowerShell session and executes Base64-encoded commands.execution

Prevalence in PyPI community

Reads from sensitive Microsoft Teams files.steal

Prevalence in PyPI community

Reads from container management or orchestration configuration files.steal

Prevalence in PyPI community

Reads from cloud provider configuration files.steal

Prevalence in PyPI community

Modifies file/directory permissions.permissions

Prevalence in PyPI community

Top vulnerabilities

FAQ for lucy-python-script-2030

What is lucy-python-script-2030?

Is lucy-python-script-2030 malicious or is it safe to use?

Is lucy-python-script-2030 popular?

How do I secure lucy-python-script-2030 once it is in my app?

Did you know...

Popularity

Top issues

SQ31102Detected presence of severe vulnerabilities with active exploitation.Causes risk: actively exploited vulnerabilitiesvulnerabilities

Problem

Prevalence in PyPI community

Next steps

TH30102Detected presence of software components that are quarantined in the community package index.Causes risk: quarantined components foundhunting

Problem

Prevalence in PyPI community

Next steps

SQ31105Detected presence of high severity vulnerabilities.Causes risk: high severity vulnerabilitiesvulnerabilities

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

TH16130Detected presence of software components that can access sensitive cloud workload configuration.hunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

Starts a PowerShell session and executes Base64-encoded commands.execution

Prevalence in PyPI community

Reads from sensitive Microsoft Teams files.steal

Prevalence in PyPI community

Reads from container management or orchestration configuration files.steal

Prevalence in PyPI community

Reads from cloud provider configuration files.steal

Prevalence in PyPI community

Modifies file/directory permissions.permissions

Prevalence in PyPI community

Top vulnerabilities