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Scanned: 12 days ago

mongo-ninja-python

Artifact:
latest
Top 10k
License: Permissive (Apache-2.0)
Published: about 2 years ago
See on PyPI

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
1 low priority mitigations absent

Threats

Tampering
No evidence of software tampering
Malware
No evidence of malware inclusion

Popularity

10.3M
Total Downloads
0
Contributors
1
Declared Dependencies
0
Dependents

Top issues

See all issues

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. 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.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
34 packages
found in
Top 100
181 packages
found in
Top 1k
1324 packages
found in
Top 10k
54.83k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
69 packages
found in
Top 100
506 packages
found in
Top 1k
3612 packages
found in
Top 10k
163.85k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
37 packages
found in
Top 100
167 packages
found in
Top 1k
1008 packages
found in
Top 10k
21.72k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
23 packages
found in
Top 100
88 packages
found in
Top 1k
444 packages
found in
Top 10k
7.52k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
67 packages
found in
Top 100
525 packages
found in
Top 1k
4055 packages
found in
Top 10k
154.83k packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for mongo-ninja-python

Is mongo-ninja-python malicious or is it safe to use?

The Python package mongo-ninja-python was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. No risks were detected, therefore, this version of the package is currently considered as safe to use.

Is mongo-ninja-python popular?

The Python package mongo-ninja-python ranks among the top 10000 projects in this community. It has 10M recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

How do I secure mongo-ninja-python once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how mongo-ninja-python behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a mongo-ninja-python version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.

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.