Spectra Assure
Community
passEverything is awesome!
Scanned: 12 days ago

python-backoff

Artifact:
latest
Function decoration for backoff and retry
License: Permissive (MIT)
Published: about 1 month ago
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
No application hardening issues

Threats

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

Popularity

5.84M
Total Downloads
0
Contributors
0
Declared Dependencies
1
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 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

0 packages
found in
Top 100
0 packages
found in
Top 1k
5 packages
found in
Top 10k
38.63k 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. 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.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
30 packages
found in
Top 100
184 packages
found in
Top 1k
1135 packages
found in
Top 10k
51.14k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
57 packages
found in
Top 100
370 packages
found in
Top 1k
2393 packages
found in
Top 10k
77.37k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
70 packages
found in
Top 100
512 packages
found in
Top 1k
4075 packages
found in
Top 10k
209.38k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
100 packages
found in
Top 100
840 packages
found in
Top 1k
7148 packages
found in
Top 10k
332.43k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
33 packages
found in
Top 100
211 packages
found in
Top 1k
1290 packages
found in
Top 10k
59.69k packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for python-backoff

What is python-backoff?

Function decoration for backoff and retry.

Is python-backoff malicious or is it safe to use?

The Python package python-backoff 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 python-backoff popular?

The Python package python-backoff ranks among the top 10000 projects in this community. It has 6M 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 python-backoff once it is in my app?

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