Spectra Assure

failRisk: Vulnerabilities

Scanned:

sideload-kilocode-bin-69724c60ae596e708fedde18-p0

Artifact:

latest

Sideloaded package

License: unknown

Published:

See on PyPI

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

1 web service credentials found

Security

Vulnerabilities

2 severe vulnerabilities exploited

Hardening

No application hardening issues

Threats

Tampering

No evidence of software tampering

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. Available threat intelligence telemetry has confirmed that the reported vulnerabilities are actively being exploited by malicious actors. Malware code that propagates through these vulnerabilities has been created. This increases the chance of automated malware attacks affecting the software component users.

Prevalence in PyPI community

10 packages

found in

Top 100

64 packages

found in

Top 1k

555 packages

found in

Top 10k

21.15k 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 critical severity.

Prevalence in PyPI community

27 packages

found in

Top 100

156 packages

found in

Top 1k

1294 packages

found in

Top 10k

58.62k packages

in community

Next steps

Perform impact analysis for the reported CVEs.

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

Uniform Resource Locators (URLs) are structured addresses that point to locations and assets on the internet. URLs allow software developers to build complex applications that exchange data with servers that can be hosted in multiple geographical regions. URLs can commonly be found embedded in documentation, configuration files, source code and compiled binaries. One or more embedded URLs were discovered to link to raw files hosted on GitHub. Attackers often abuse popular web services to host malicious payloads. Since code-sharing services URLs are typically allowed by security solutions, using them for payload delivery increases the odds that the malicious code will reach the user. While the presence of code-sharing service locations does not imply malicious intent, all of their uses in a software package should be documented and approved. An increasing number of software supply chain attacks in the open source space leverages the GitHub service to deliver malicious payloads.

Prevalence in PyPI community

36 packages

found in

Top 100

219 packages

found in

Top 1k

1678 packages

found in

Top 10k

63.41k 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 an alternative delivery mechanism for software packages.

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

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

Various network communication protocols allow including plaintext authentication credentials. Information such as user names and passwords could be passed through a non-encrypted channel, and therefore intercepted by malicious actors. Credentials are considered secrets, and should be kept encrypted until they are used. This policy control matches the following URI pattern protocol://username:password@domain within any software package component.

Prevalence in PyPI community

21 packages

found in

Top 100

86 packages

found in

Top 1k

378 packages

found in

Top 10k

7.36k packages

in community

Next steps

Review the reported matches. If the warning refers to a placeholder credential value, it can be safely ignored.

Problem

Uniform Resource Locators (URLs) are structured addresses that point to locations and assets on the internet. URLs allow software developers to build complex applications that exchange data with servers that can be hosted in multiple geographical regions. URLs can commonly be found embedded in documentation, configuration files, source code and compiled binaries. URL paths provide additional information to a web service when making a request. They are an optional, but an important part of the URL, as they may define specific content or actions based on the data being passed. Some parameters they pass might be considered sensitive information. Since path components are not encrypted this might cause sensitive information to leak. This issue is raised for URL paths than might contain information that attackers can easily intercept. Examples of sensitive information fields include passwords and other similar parameters.

Prevalence in PyPI community

13 packages

found in

Top 100

73 packages

found in

Top 1k

504 packages

found in

Top 10k

10.91k 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 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.

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

Prevalence in PyPI community

10 packages

found in

Top 100

64 packages

found in

Top 1k

555 packages

found in

Top 10k

21.15k 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 critical severity.

Prevalence in PyPI community

27 packages

found in

Top 100

156 packages

found in

Top 1k

1294 packages

found in

Top 10k

58.62k packages

in community

Next steps

Perform impact analysis for the reported CVEs.

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

36 packages

found in

Top 100

219 packages

found in

Top 1k

1678 packages

found in

Top 10k

63.41k 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 an alternative delivery mechanism for software packages.

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

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

Prevalence in PyPI community

21 packages

found in

Top 100

86 packages

found in

Top 1k

378 packages

found in

Top 10k

7.36k packages

in community

Next steps

Review the reported matches. If the warning refers to a placeholder credential value, it can be safely ignored.

Problem

Uniform Resource Locators (URLs) are structured addresses that point to locations and assets on the internet. URLs allow software developers to build complex applications that exchange data with servers that can be hosted in multiple geographical regions. URLs can commonly be found embedded in documentation, configuration files, source code and compiled binaries. URL paths provide additional information to a web service when making a request. They are an optional, but an important part of the URL, as they may define specific content or actions based on the data being passed. Some parameters they pass might be considered sensitive information. Since path components are not encrypted this might cause sensitive information to leak. This issue is raised for URL paths than might contain information that attackers can easily intercept. Examples of sensitive information fields include passwords and other similar parameters.

Prevalence in PyPI community

13 packages

found in

Top 100

73 packages

found in

Top 1k

504 packages

found in

Top 10k

10.91k 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 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.

sideload-kilocode-bin-69724c60ae596e708fedde18-p0

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

SQ31103Detected presence of malware-exploited vulnerabilities.Causes risk: malware exploited vulnerabilitiesvulnerabilities

Problem

Prevalence in PyPI community

Next steps

SQ31104Detected presence of critical severity vulnerabilities.Causes risk: critical severity 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

TH17127Detected presence of files containing URLs that link to raw files on GitHub.hunting

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

TH30106Detected presence of software components that have low popularity or number of downloads.hunting

Problem

Prevalence in PyPI community

Next steps

SQ34302Detected presence of plaintext credentials within network protocol strings.Causes risk: web service credentials foundsecrets

Problem

Prevalence in PyPI community

Next steps

TH17119Detected presence of files containing URLs with suspicious path components.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

Did you know...

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

Problem

Prevalence in PyPI community

Next steps

SQ31103Detected presence of malware-exploited vulnerabilities.Causes risk: malware exploited vulnerabilitiesvulnerabilities

Problem

Prevalence in PyPI community

Next steps

SQ31104Detected presence of critical severity vulnerabilities.Causes risk: critical severity 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

TH17127Detected presence of files containing URLs that link to raw files on GitHub.hunting

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

TH30106Detected presence of software components that have low popularity or number of downloads.hunting

Problem

Prevalence in PyPI community

Next steps

SQ34302Detected presence of plaintext credentials within network protocol strings.Causes risk: web service credentials foundsecrets

Problem

Prevalence in PyPI community

Next steps

TH17119Detected presence of files containing URLs with suspicious path components.hunting

Problem