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warningRisk: Tampering

Scanned:

ruff

Artifact:

latest

Top 1k

An extremely fast Python linter and code formatter, written in Rust.

License: Permissive (MIT)

Published:

Visit GitHub

See on PyPI

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

No sensitive information found

Security

Vulnerabilities

No known vulnerabilities detected

Hardening

1 misconfigured toolchains detected

Threats

Tampering

1 components with malware history

Malware

No evidence of malware inclusion

INCIDENTS FOR THIS VERSION:

Overview issues4 vulnerabilities0 malware0 behaviors76 dependencies0 contributors5 versions419

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

Policies

Info

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 service 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 leverage 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. Some open source projects have a history of security lapses that culminated with a publication of one or more malicious component versions. To ensure that repeated supply chain incidents do not occur, the open source project should be closely monitored for up to two years. All software package versions that are published within two years of the malware incident will convey a warning about the history of security incidents tied to the open source project.

Prevalence in PyPI community

2 packages

found in

Top 100

18 packages

found in

Top 1k

110 packages

found in

Top 10k

1.99k packages

in community

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 that their versions are pinned.

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

Problem

Security Development Lifecycle (SDL) is a group of enhanced compile-time checks that report common coding mistakes as errors, preventing them from reaching production. These checks minimize the number of security issues by enforcing strict memory access checks. They also prevent the use of hard-to-secure string and memory manipulation functions. To prove the binary has been compiled with these checks enabled, the compiler emits a special debug object. Removing the debug table eliminates this proof. Therefore, this check only applies to binaries that still have their debug tables.

Prevalence in PyPI community

12 packages

found in

Top 100

63 packages

found in

Top 1k

326 packages

found in

Top 10k

7.08k packages

in community

Next steps

You should keep the debug table to prove that the SDL process has been followed.

To enable these checks, refer to your programming language toolchain documentation.

In Microsoft VisualStudio, you can enable this feature by setting the compiler option /SDL to ON.

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. Higher-level programming languages implement structured exception handling by managing their own code flow execution paths. As such, they are subject to code flow hijacking during runtime. Language-specific exception handling mitigation enforces execution integrity by instrumenting calls to manage execution context switching. Any deviation from the known and trusted code flow paths will cause the application to terminate. This makes malicious code less likely to execute.

Prevalence in PyPI community

36 packages

found in

Top 100

164 packages

found in

Top 1k

932 packages

found in

Top 10k

17.86k 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

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

2 packages

found in

Top 100

18 packages

found in

Top 1k

110 packages

found in

Top 10k

1.99k packages

in community

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 that their versions are pinned.

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

Problem

Prevalence in PyPI community

12 packages

found in

Top 100

63 packages

found in

Top 1k

326 packages

found in

Top 10k

7.08k packages

in community

Next steps

You should keep the debug table to prove that the SDL process has been followed.

To enable these checks, refer to your programming language toolchain documentation.

In Microsoft VisualStudio, you can enable this feature by setting the compiler option /SDL to ON.

Problem

Prevalence in PyPI community

36 packages

found in

Top 100

164 packages

found in

Top 1k

932 packages

found in

Top 10k

17.86k 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.

ruff

SAFE Assessment

Compliance

Security

Threats

IMPORTANT: This package had 1 malicious incident in versions published within 2 years prior to the latestLatest version with malware incident detected: 2 months agoVersion: 0.15.17

INCIDENTS FOR THIS VERSION:

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

Problem

Prevalence in PyPI community

Next steps

TH30101Detected presence of software components that had a recent malware or tampering incident.Causes risk: components with malware historyhunting

Problem

Prevalence in PyPI community

Next steps

SQ14138Detected Windows executable files that were compiled without following the recommended SDL process.Causes risk: misconfigured toolchains detectedhardening

Problem

Prevalence in PyPI community

Next steps

SQ14127Detected Windows executable files that do not implement long jump control flow vulnerability mitigation protection.Causes risk: low priority mitigations absenthardening

Problem

Prevalence in PyPI community

Next steps

Did you know...

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

Problem

Prevalence in PyPI community

Next steps

TH30101Detected presence of software components that had a recent malware or tampering incident.Causes risk: components with malware historyhunting

Problem

Prevalence in PyPI community

Next steps

SQ14138Detected Windows executable files that were compiled without following the recommended SDL process.Causes risk: misconfigured toolchains detectedhardening

Problem

Prevalence in PyPI community

Next steps

SQ14127Detected Windows executable files that do not implement long jump control flow vulnerability mitigation protection.Causes risk: low priority mitigations absenthardening

Problem

Prevalence in PyPI community

Next steps