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VFc2VJAc

Google

Fraud Detection
monitor Exposure
v54573654
A script used to monitor and detect invalid ad traffic and potential fraud, ensuring the quality and effectiveness of advertising campaigns.
10M+ sites
Updated 8/4/2026
https://ep2.adtrafficquality.google/sodar/VFc2VJAc.js
Exposure Score
90

Popularity

92%

Usage across websites

File Size

13.99 KB

Download size

Load Time

5.27ms

Network latency

Execution Time

52.72ms

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

0255075100v5457Normalized ScoreVersion
Security Score
Performance Score
File Size (KB)

Uptime History

Average response time over time

Version History Details

Detailed information for each version

v54573654Latest
Span: 24 days
Score: 80
Size: 13.99 KB

Exposure & Risks

Security Score

Overall Security80 / 100
Exposure Levelmonitor

Risk Assessment

Critical Risks0
Total Observations1

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 remember your preferences and other information, such as your preferred language, how many search results you wish to have shown per page, and whether you wish to have Google's SafeSearch filter turned on. It is also used to help detect invalid activity in advertising.
IDE1 year
Used by Google DoubleClick to register and report the user's actions after viewing or clicking one of the advertiser's ads with the purpose of measuring the efficacy of an ad and presenting targeted ads to the user.
_gcl_au90 days
Used by Google AdSense to experiment with advertisement efficiency across websites.

Third-party Connections

External domains this script connects to

No external connections detected

Permissions Required

Browser permissions and capabilities used

user profile

Privacy Observations

Privacy-related findings from analysis

No privacy observations recorded for this version

Technical & Performance Analytics

Load Performance

File Size13.99 KB
Load Time5.27ms

Runtime Performance

Execution Time52.72ms
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

1GoogleTyFxhYEET320google_image_requests

Event Listeners

Events this script listens for

No event listeners detected

Browser API Access

APIs and browser features accessed by this script

navigator.userAgent

Technical Details

Compressed
Yes
CDN Delivery
No
Total Views
171
Is Mirror
No
Network Requests
0
Resource Hash
54573654901c495ecf67cc8ffd30108dd6f3a3c7332fd4dba41ab13877b75b8d

AI Insights & Alternatives

Description

A comprehensive overview of this resource

This script, part of Google's advertising ecosystem, is designed to analyze ad impressions and clicks to identify and prevent invalid traffic, such as bot activity, click fraud, and other non-human or malicious interactions. It operates by collecting data related to user behavior, device characteristics, and network patterns associated with ad interactions. The collected data is then processed to detect anomalies and flag potentially fraudulent activities, protecting advertisers from wasted ad spend and ensuring the integrity of their campaign data. It generally runs in the background, observing interactions without directly impacting the user experience, but it is critical for maintaining a healthy advertising environment. The script works by observing user-agent strings, IP addresses, referrer URLs, and interaction patterns (e.g., speed of clicks, mouse movements) to build a profile of the traffic. This profile is then compared against known patterns of legitimate and fraudulent behavior to determine the validity of ad interactions. Its primary function is server-side communication to report these observations to Google's ad traffic quality systems.

Key Features

Core functionalities and capabilities of this resource

  • Ad Fraud Detection
  • Invalid Traffic Filtering
  • Bot Detection
  • Click Fraud Prevention
  • Impression Quality Monitoring
  • Ad Traffic Analysis

Alternatives

Similar libraries you might consider

Documentation & Resources

Official Documentation