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Mlz Fce49bd96df2c99f

GitHub

Analytics
Needs review
vbd955327
A utility script likely used for collecting client-side usage data and behavioral metrics to inform analytics or machine learning processes.
Updated 11/1/2026
https://github.githubassets.com/assets/mlz-fce49bd96df2c99f.js
Overall Score
89

Recorded Observations

12

For this resource version

File Size

4.90 KB

Download size

Load Time

24.42ms

Network latency

Execution Time

0.00ms

Runtime performance

Version Telemetry

Version Timeline

Visual representation of each version's active period

Metrics Over Time

Security score, performance score, and file size trends

0255075100vbd95Normalized ScoreVersion
Security Score
Performance Score
File Size (KB)

Uptime History

Average response time over time

Version History Details

Detailed information for each version

vbd955327Latest
Span: 4 days
Score: 79
Size: 4.90 KB

Exposure & Risks

Security Score

Overall Security79 / 100
Security RatingNeeds review

Risk Assessment

Critical Risks0
Total Observations0

Security Rating

Needs review
Behavioral concerns detected; review and mitigation are advised.

Behavioral Concerns

No Known Security Risks

Our telemetry scan did not detect any immediate behavioral security risks for this resource.

Security Observations

Security-related findings from analysis

No security observations recorded for this version

Privacy & Data Flow

Data Collection

Cookies and local storage used by this script

Cookies

_mlz_session30 minutes
Used to maintain session state for analytics purposes.
_mlz_id1 year
Used to uniquely identify users across sessions.

Local Storage

mlz_consent
Stores user's consent preferences for data collection.

Third-party Connections

External domains this script connects to

No external connections detected

Permissions Required

Browser permissions and capabilities used

No special browser permissions required.

Privacy Observations

Privacy-related findings from analysis

No privacy observations recorded for this version

Technical & Performance Analytics

Load Performance

File Size4.90 KB
Load Time24.42ms

Runtime Performance

Execution Time0.00ms
Network Requests0

Impact Assessment

Good
Minimal performance impact on page load

Performance Observations

Performance-related findings from analysis

No performance observations recorded for this version

Global Variables

Variables added to the global scope

No global variables detected

Event Listeners

Events this script listens for

No event listeners detected

Browser API Access

APIs and browser features accessed by this script

No API access detected

Technical Details

Compressed
Yes
CDN Delivery
No
Recorded Observations
12
Is Mirror
No
Network Requests
0
Resource Hash
bd9553275b93ef4aa4f8ea5c6b044f9d94c66b1c28d322227621c8f1c3a05d94

AI Insights & Alternatives

Description

A comprehensive overview of this resource

This script, originating from GitHub's asset delivery network, is designed to observe and capture various client-side events and attributes on a host website. Its primary function is hypothesized to involve instrumentation of user interactions, page views, and potentially device or browser characteristics. The collected data is then transmitted to a backend service for aggregation and analysis. This process can support diverse applications such as understanding user engagement patterns, optimizing website features, identifying trends, or feeding machine learning models for purposes like content personalization, fraud detection, or enhancing overall service quality. The script operates asynchronously to minimize impact on page performance, and typically focuses on anonymized or pseudonymous data collection to respect user privacy, although specific implementations may vary. It provides the foundational data layer necessary for advanced analytical insights and data-driven improvements to the user experience.

Key Features

Core functionalities and capabilities of this resource

  • Client-side data collection
  • Behavioral analytics
  • Metric gathering
  • Machine learning input
  • Feature optimization
  • Security analysis

Alternatives

Similar libraries you might consider

Documentation & Resources

Official Documentation