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YFNR4Hzqwc9E2c79ehOSW3RotEWQM P3S8nB8gKqgno

Google

Fraud Detection
monitor Exposure
v605351e0
A script used for monitoring and evaluating ad traffic quality and detecting invalid traffic.
10M+ sites
Updated 7/15/2026
https://ep1.adtrafficquality.google/bg/YFNR4Hzqwc9E2c79ehOSW3RotEWQM-P3S8nB8gKqgno.js
Exposure Score
92

Popularity

92%

Usage across websites

File Size

21.72 KB

Download size

Load Time

4.49ms

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

0255075100v6053Normalized ScoreVersion
Security Score
Performance Score
File Size (KB)

Uptime History

Average response time over time

Version History Details

Detailed information for each version

v605351e0Latest
Span: 1 day
Score: 85
Size: 21.72 KB

Exposure & Risks

Security Score

Overall Security85 / 100
Exposure Levelmonitor

Risk Assessment

Critical Risks0
Total Observations0

Exposure Status

Monitor
Moderate behavioral concerns, review and mitigation 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

NID6 months
Used by Google to store user preferences and other information, potentially used to inform ad traffic quality analysis and user recognition for fraud detection.
IDE1 year
Used by Google to display ads on non-Google sites and to track interactions with those ads, vital for ad traffic quality assessment.
ANID1 year
Used for displaying personalized ads and often used to track ad interactions and effectiveness within the broader Google advertising network, supporting traffic quality evaluation.

Local Storage

_gads
Stores client-side data related to Google Ads interactions and fraud detection signals.

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 Size21.72 KB
Load Time4.49ms

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
Total Views
15
Is Mirror
No
Network Requests
0
Resource Hash
605351e07ceac1cf44d9cefd7a13925b7468b4459033e3f74bc9c1f202aa827a

AI Insights & Alternatives

Description

A comprehensive overview of this resource

This script is deployed by Google to maintain the integrity and quality of its advertising ecosystem. It operates in the browser to collect various data points related to user interactions with ads, page views, and network requests. Its primary function is to detect and mitigate invalid traffic, such as bot activity, click fraud, and other non-human interactions that can skew advertising metrics and waste advertisers' budgets. By analyzing these signals, the script helps Google ensure that advertisers only pay for legitimate engagement, thereby protecting the value and fairness of its ad platforms (e.g., Google Ads, AdSense). This process is crucial for accurate reporting, effective ad targeting, and maintaining trust between advertisers and publishers.

Key Features

Core functionalities and capabilities of this resource

  • Ad Fraud Detection
  • Invalid Traffic Detection
  • Bot Detection
  • Impression Verification
  • Click Fraud Prevention
  • Ad Quality Measurement

Alternatives

Similar libraries you might consider

Documentation & Resources

Official Documentation