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failIncident: Malware

Scanned:

mypy

Artifact:

malicious

Top 1k

Optional static typing for Python

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

456 low priority mitigations absent

Threats

Tampering

No evidence of software tampering

Malware

2 adware applications found

INCIDENTS FOR THIS VERSION:

malware

Reported By: ReversingLabs (Automated)

Learn more about malware detection

Overview issues5 vulnerabilities0 malware2 behaviors94 dependencies12 contributors14 versions141

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

Policies

Info

Problem

Advertising-supported software can be considered a risk by some software users. This threat type commonly collects usage and private user data, displays obtrusive advertisements, or in more extreme cases, automatically installs other unwanted applications. Most threat prevention solutions detect and block adware. Software packages that trigger security solution detections also tend to increase the number of support calls and open tickets from users.

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

2 packages

found in

Top 10k

20 packages

in community

Next steps

Revise the use of components that raise these alarms. If you can't deprecate those components, make sure they are well-documented.

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

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. Top-level domains (TLD) are a part of the Domain Name System (DNS), and are used to lookup an Internet Protocol (IP) address of a requested website. There are a few different types of top-level domains. Generic, sponsored and country-code TLDs are generally accessible to the public. Registrars that govern the assignment of domain names within the TLD may choose to sell specific domain names to an interested party. However, some registrars are known to have less strict rules for assigning domain names. Attackers often abuse gaps in governance and actively seek to register their malicious domains in such TLDs. This issue is raised for all domains registered within TLDs that harbor an excessive number of malicious sites. While the presence of suspicious TLDs does not imply malicious intent, all of its uses in a software package should be documented and approved.

Prevalence in PyPI community

12 packages

found in

Top 100

90 packages

found in

Top 1k

503 packages

found in

Top 10k

15.92k 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 changing the top-level domain to avoid being flagged by security solutions.

Problem

Control Flow Guard (CFG/CFI) protects the code flow integrity by ensuring that dynamic calls are made only to vetted functions. Trusted execution paths rely on the ability of the operating system to build a list of valid function targets. Certain functions can intentionally be disallowed to prevent malicious code from deactivating vulnerability mitigation features. A list of such invalid function targets can include publicly exported symbols. Applications that enhance control flow integrity through export suppression rely on libraries to mark their publicly visible symbols as suppressed. This is done for all symbols that are considered to be sensitive functions, and to which access should be restricted. It is considered dangerous to mix applications that perform export suppression with libraries that do not.

Prevalence in PyPI community

30 packages

found in

Top 100

143 packages

found in

Top 1k

833 packages

found in

Top 10k

15.19k packages

in community

Next steps

To enable this mitigation on library code, 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.

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

0 packages

found in

Top 100

0 packages

found in

Top 1k

2 packages

found in

Top 10k

20 packages

in community

Next steps

Revise the use of components that raise these alarms. If you can't deprecate those components, make sure they are well-documented.

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

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. Top-level domains (TLD) are a part of the Domain Name System (DNS), and are used to lookup an Internet Protocol (IP) address of a requested website. There are a few different types of top-level domains. Generic, sponsored and country-code TLDs are generally accessible to the public. Registrars that govern the assignment of domain names within the TLD may choose to sell specific domain names to an interested party. However, some registrars are known to have less strict rules for assigning domain names. Attackers often abuse gaps in governance and actively seek to register their malicious domains in such TLDs. This issue is raised for all domains registered within TLDs that harbor an excessive number of malicious sites. While the presence of suspicious TLDs does not imply malicious intent, all of its uses in a software package should be documented and approved.

Prevalence in PyPI community

12 packages

found in

Top 100

90 packages

found in

Top 1k

503 packages

found in

Top 10k

15.92k 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 changing the top-level domain to avoid being flagged by security solutions.

Problem

Prevalence in PyPI community

30 packages

found in

Top 100

143 packages

found in

Top 1k

833 packages

found in

Top 10k

15.19k packages

in community

Next steps

To enable this mitigation on library code, 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.

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.

mypy

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: about 1 month agoVersion: 2.2.0

INCIDENTS FOR THIS VERSION:

SQ30122Detected presence of advertising-supported applications.Causes risk: adware applications foundthreats

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

TH17118Detected presence of files containing URLs that use suspicious top-level domains.hunting

Problem

Prevalence in PyPI community

Next steps

SQ14125Detected Windows shared library files that do not suppress exports which reduces CFG vulnerability mitigation protection effectiveness.Causes risk: low priority mitigations absenthardening

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...

SQ30122Detected presence of advertising-supported applications.Causes risk: adware applications foundthreats

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

TH17118Detected presence of files containing URLs that use suspicious top-level domains.hunting

Problem

Prevalence in PyPI community

Next steps

SQ14125Detected Windows shared library files that do not suppress exports which reduces CFG vulnerability mitigation protection effectiveness.Causes risk: low priority mitigations absenthardening

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