@lottiefiles/lottie-playerv2.0.6

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License: Permissive (MIT)

Repository

npm

Homepage

Published:

Lottie animation and Telegram Sticker player web components.

Fail

Incident: Malware

1 analyst-vetted malware found

Incidents

Type: malwareReported By: Community (Socket)Reported: 23 days ago

Type: malwareReported By: Community (OpenSSF)Reported: 22 days ago

Type: malwareReported By: Community (The Hacker News)

Type: malwareReported By: ReversingLabs (Researcher) Reported: 19 days ago

Learn more about malware detection

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

1 analyst-vetted malware found

Downloads

9.91M

Recorded Downloads Since 2021

Maintenance

Maintainers

Dependencies

Declared Dependencies

Dependents

Issues per Version Graph

Scanned

FAQ for @lottiefiles/lottie-player

What is @lottiefiles/lottie-player?

Lottie animation and Telegram Sticker player web components. For more information about this package, visit its homepage.

Is @lottiefiles/lottie-player malicious or is it safe to use?

The npm package @lottiefiles/lottie-player was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. Malware or tampering has been detected, making it unsafe to download and use. 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 @lottiefiles/lottie-player popular?

The npm package @lottiefiles/lottie-player is not widely used. 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 @lottiefiles/lottie-player once it is in my app?

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