Sca.17.6.4
Integral Ad Science (IAS)
Popularity
92%
Usage across websites
File Size
91.43 KB
Download size
Load Time
22.37ms
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
Uptime History
Average response time over time
Version History Details
Detailed information for each version
Exposure & Risks
Security Score
Risk Assessment
Exposure Status
Behavioral Concerns
Dynamic Code Execution (eval/Function)
Detects the use of eval() or the Function constructor, which can be used to execute arbitrary code.
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
Third-party Connections
External domains this script connects to
No external connections detected
Permissions Required
Browser permissions and capabilities used
Privacy Observations
Privacy-related findings from analysis
No privacy observations recorded for this version
Technical & Performance Analytics
Load Performance
Runtime Performance
Impact Assessment
Performance Observations
Performance-related findings from analysis
No performance observations recorded for this version
Global Variables
Variables added to the global scope
Event Listeners
Events this script listens for
No event listeners detected
Browser API Access
APIs and browser features accessed by this script
Technical Details
AI Insights & Alternatives
Description
A comprehensive overview of this resource
This script, developed by Integral Ad Science (IAS), is designed to provide third-party verification for digital advertising campaigns. It operates within the browser to collect data related to ad impressions, page content, and user interactions with advertisements. The primary function is to help advertisers ensure their ads are displayed in brand-safe environments, are not subject to fraudulent impressions, and are actually viewable by users. This involves analyzing various signals from the webpage and ad containers to detect potential risks and measure key performance indicators for ad quality. The script typically initiates data collection upon an ad impression or page load, sending information back to IAS servers for analysis. It can monitor factors such as the context of the surrounding content, the geographic location of the user, and the technical parameters of the ad delivery to identify non-human traffic or unsafe content. By doing so, it helps advertisers optimize their spend by preventing wastage on invalid traffic and ensuring brand reputation is protected.
Key Features
Core functionalities and capabilities of this resource
- Brand Safety
- Ad Fraud Prevention
- Ad Viewability
- Audience Verification
- Ad Measurement
- Contextual Analysis
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