randomaticv1.1.5

Top 10k

License: Permissive (MIT)

Published:

Generate randomized strings of a specified length, fast. Only the length is necessary, but you can optionally generate patterns using any combination of numeric, alpha-numeric, alphabetical, special or custom characters.

Fail

Risk: Vulnerabilities

1 severe vulnerabilities exploited

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

No sensitive information found

Security

Vulnerabilities

1 severe vulnerabilities exploited

Hardening

No application hardening issues

Threats

Tampering

No evidence of software tampering

Malware

No evidence of malware inclusion

Issues

See all issues

high

Detected presence of high severity vulnerabilities.

vulnerabilities

high

Detected presence of severe vulnerabilities with active exploitation.

vulnerabilities

medium

Detected presence of medium severity vulnerabilities.

vulnerabilities

Behaviors

No behaviors found

Vulnerabilities

Downloads

461.72M

Recorded Downloads Since 2021

Maintenance

Maintainers

Dependencies

Declared Dependencies

Dependents

574

Dependents

Issues per Version Graph

Scanned

FAQ for randomatic

What is randomatic?

Is randomatic malicious or is it safe to use?

The npm package randomatic 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 randomatic popular?

The npm package randomatic ranks among the top 10000 projects in this community. It has 462M 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 randomatic once it is in my app?

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