Spectra Assure

failRisk: Hardening

Scanned:

sideload-obengine-dev-bin-68dadf9cd0ea881f408f86be-p0

Artifact:

latest

Sideloaded package

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

1 unsafe code linking practices

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

Windows executable files are mapped in memory as a sequence of allocated pages backed by its physical content. The pages are grouped into sections with defined access rights. Starting executable file memory regions are reserved for the Portable Executable (PE) header, which has read-only access rights due to its criticality. Even the operating system should not implicitly modify the header contents. No operation during the image load sequence should write its results, nor relocate any data, to and from the headers. Vulnerability mitigations are implemented with the assumption that the headers are read-only, or immutable. Allowing headers to self-modify may lead to exposing critical security data to overwrites, tampering, and complete bypasses of vulnerability mitigations. This issue is typically reported when a software publisher uses a low quality executable packing solution.

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

3 packages

found in

Top 10k

54 packages

in community

Next steps

You should deprecate the use of runtime packers, or enforce digital rights management via less intrusive ways that preserve compatibility with vulnerability mitigation options.

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

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

Proprietary ReversingLabs analysis engine supports a wide range of commonly used archive and software packaging formats. Using automated static file decomposition technologies, the engine recursively analyzes complex software packages. Software analysis is typically conducted in multiple steps. Content identification, unpacking, validation, and classification are some of the steps performed on each analyzed file. The analysis engine may sometimes report file integrity problems while performing unpacking or validation steps. Some content was successfully extracted from the package before an analysis error was encountered. This issue is commonly reported for packages with content that may be incomplete or corrupted. In rare occurrences this issue may indicate a problem with the analysis engine's file format parsing functions.

Prevalence in PyPI community

3 packages

found in

Top 100

7 packages

found in

Top 1k

58 packages

found in

Top 10k

699 packages

in community

Next steps

Confirm that the software package contains incomplete or corrupted content.

Create a new version of the software package that resolves content integrity issues.

Contact the ReversingLabs support team if you suspect that the analysis engine may be causing the issue.

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

Control Flow Guard (CFG/CFI) protects the code flow integrity by ensuring that indirect calls are made only to vetted functions. This mitigation protects dynamically resolved function targets by instrumenting the code responsible for transferring execution control. Because the code flow integrity is verified during runtime, malicious code is less likely to be able to hijack trusted execution paths.

Prevalence in PyPI community

29 packages

found in

Top 100

114 packages

found in

Top 1k

525 packages

found in

Top 10k

8.89k packages

in community

Next steps

It's highly recommended to enable this option for all software components used at security boundaries, or those that process user controlled inputs.

To enable this mitigation, refer to your programming language toolchain documentation.

In Microsoft VisualStudio, you can enable CFG mitigation by passing the /guard:cf parameter to the compiler and linker.

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

Policies

Info

Problem

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

3 packages

found in

Top 10k

54 packages

in community

Next steps

You should deprecate the use of runtime packers, or enforce digital rights management via less intrusive ways that preserve compatibility with vulnerability mitigation options.

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

3 packages

found in

Top 100

7 packages

found in

Top 1k

58 packages

found in

Top 10k

699 packages

in community

Next steps

Confirm that the software package contains incomplete or corrupted content.

Create a new version of the software package that resolves content integrity issues.

Contact the ReversingLabs support team if you suspect that the analysis engine may be causing the issue.

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

29 packages

found in

Top 100

114 packages

found in

Top 1k

525 packages

found in

Top 10k

8.89k packages

in community

Next steps

It's highly recommended to enable this option for all software components used at security boundaries, or those that process user controlled inputs.

To enable this mitigation, refer to your programming language toolchain documentation.

In Microsoft VisualStudio, you can enable CFG mitigation by passing the /guard:cf parameter to the compiler and linker.

sideload-obengine-dev-bin-68dadf9cd0ea881f408f86be-p0

SAFE Assessment

Compliance

Security

Threats

SQ14150Detected Windows executable files that implicitly modify headers during loading with function code or relocations.Causes risk: unsafe code linking practiceshardening

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

SQ25103Detected packages with content that could only be partially analyzed.integrity

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

SQ14122Detected Windows executable files that do not implement CFG vulnerability mitigation protection.Causes risk: modern mitigations missinghardening

Problem

Prevalence in PyPI community

Next steps

Did you know...

SQ14150Detected Windows executable files that implicitly modify headers during loading with function code or relocations.Causes risk: unsafe code linking practiceshardening

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

SQ25103Detected packages with content that could only be partially analyzed.integrity

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

SQ14122Detected Windows executable files that do not implement CFG vulnerability mitigation protection.Causes risk: modern mitigations missinghardening

Problem

Prevalence in PyPI community

Next steps