Spectra Assure

failRisk: Vulnerabilities

Scanned:

timenow

Artifact:

latest

timestamp.py: helper exposing timemcp.now() for datetime.

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 suspicious application behaviors

Malware

No evidence of malware inclusion

List of software quality issues with the number of affected components.

Policies

Info

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 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 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 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

1 packages

found in

Top 100

11 packages

found in

Top 1k

910 packages

found in

Top 10k

717.09k 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. 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

70 packages

found in

Top 100

472 packages

found in

Top 1k

4207 packages

found in

Top 10k

413.79k 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

Diligent software developers audit the source code of a component before it gets included in the software project. This audit often includes reviewing key pieces of code hosted in a public source repository. Aiming to avoid detection through spot-checks, attackers often hide malicious payloads by placing the code outside the common screen width. Depending on how the code editor used for review is configured, the malicious code might never be shown to the developer during the audit. Since many programming languages allow multiple statements to be made in the same line of code, both visible and off-screen code will be executed. While presence of code outside the common screen width does not imply malicious intent, all of its uses in a software package should be documented and approved. When a software package has behavior traits similar to malicious software, it may become flagged by security solutions.

Prevalence in PyPI community

0 packages

found in

Top 100

6 packages

found in

Top 1k

39 packages

found in

Top 10k

813 packages

in community

Next steps

Investigate reported detections as indicators of software tampering.

Consult Mitre ATT&CK documentation: T1027 - Obfuscated Files or Information.

Consider rewriting the flagged code without using the marked behaviors.

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.

List of software quality issues with the number of affected components.

Policies

Info

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

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

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 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

1 packages

found in

Top 100

11 packages

found in

Top 1k

910 packages

found in

Top 10k

717.09k 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. 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

70 packages

found in

Top 100

472 packages

found in

Top 1k

4207 packages

found in

Top 10k

413.79k 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

Prevalence in PyPI community

0 packages

found in

Top 100

6 packages

found in

Top 1k

39 packages

found in

Top 10k

813 packages

in community

Next steps

Investigate reported detections as indicators of software tampering.

Consult Mitre ATT&CK documentation: T1027 - Obfuscated Files or Information.

Consider rewriting the flagged code without using the marked behaviors.

timenow

SAFE Assessment

Compliance

Security

Threats

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

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

TH30105Detected presence of software components that were recently published to the public package repository.hunting

Problem

Prevalence in PyPI community

Next steps

TH30107Detected presence of software components that are rarely included by other public software packages.hunting

Problem

Prevalence in PyPI community

Next steps

TH30112Detected presence of software components without a declared source code repository.hunting

Problem

Prevalence in PyPI community

Next steps

TH16127Detected presence of software components that have code outside of the common screen width.hunting

Problem

Prevalence in PyPI community

Next steps

Did you know...

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

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

TH30105Detected presence of software components that were recently published to the public package repository.hunting

Problem

Prevalence in PyPI community

Next steps

TH30107Detected presence of software components that are rarely included by other public software packages.hunting

Problem

Prevalence in PyPI community

Next steps

TH30112Detected presence of software components without a declared source code repository.hunting

Problem

Prevalence in PyPI community

Next steps

TH16127Detected presence of software components that have code outside of the common screen width.hunting

Problem

Prevalence in PyPI community

Next steps