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warningRisk: Hardening
Scanned: 11 days ago

nvidia-cuda-runtime-cu12

Artifact:
Top 1k
CUDA Runtime native Libraries
License: unknown
Published: 9 months 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 hardening effectiveness issues

Threats

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

Popularity

435.66M
Total Downloads
2
Contributors
0
Declared Dependencies
159
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. 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

No prevalence information at this time

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 This mitigation is detected as enabled, but its effectiveness is impacted by the use of outdated precompiled code. It was determined that the application had been linked against static libraries produced by multiple toolchain versions. Because some of them predate the general availability of the control flow guard vulnerability mitigation, it is likely that protection coverage gaps exist.

Prevalence in PyPI community

10 packages
found in
Top 100
46 packages
found in
Top 1k
227 packages
found in
Top 10k
2385 packages
in community

Next steps

Recompile statically linked libraries with the same programming language toolchain version.
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 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

26 packages
found in
Top 100
130 packages
found in
Top 1k
732 packages
found in
Top 10k
14459 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

30 packages
found in
Top 100
141 packages
found in
Top 1k
779 packages
found in
Top 10k
16437 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

No behavior prevalence information at this time

Prevalence in PyPI community

Behavior often found in this community (Common)
75 packages
found in
Top 100
593 packages
found in
Top 1k
4478 packages
found in
Top 10k
229841 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
24 packages
found in
Top 100
91 packages
found in
Top 1k
441 packages
found in
Top 10k
9522 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
27 packages
found in
Top 100
147 packages
found in
Top 1k
827 packages
found in
Top 10k
18648 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
63 packages
found in
Top 100
578 packages
found in
Top 1k
4140 packages
found in
Top 10k
224170 packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for nvidia-cuda-runtime-cu12

What is nvidia-cuda-runtime-cu12?

CUDA Runtime native Libraries. For more information about this package, visit its homepage.

Is nvidia-cuda-runtime-cu12 malicious or is it safe to use?

The Python package nvidia-cuda-runtime-cu12 was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. The package contains risks, and the analysis results should be reviewed before it is downloaded and used. Visit the Issues and Behaviors sections of the analysis for more details.

Is nvidia-cuda-runtime-cu12 popular?

The Python package nvidia-cuda-runtime-cu12 ranks among the top 1000 projects in this community. It has 436M 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 nvidia-cuda-runtime-cu12 once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how nvidia-cuda-runtime-cu12 behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a nvidia-cuda-runtime-cu12 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.

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