Summary
This website contacted 45 IPs in 2 countries across 38 domains to perform 155 HTTP transactions. The main domain is affirm.com and was registered NaN years ago.
Submitted URL: https://click.e.affirm.com
Effective URL: https://www.affirm.com/downloadRedirected
The Cisco Umbrella rank of the primary domain is #5,748 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate site; safe to download the Affirm app.
Safety Factors
Details
Page Title
Download Affirm app: buy now pay later app
Scan Type
public
Language
English
Category
finance banking
(78%)Domain Information
You're looking at domain 'click.e.affirm.com' on the commercial generic top-level domain (.com) with subdomain 'click.e'. Its registrable label 'affirm' stretches across 6 characters split between 2 vowels and four consonants. Segmentation suggests 1 word: affirm. Median word length comes out to six characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 29 | 34.197.182.24 | United States | |
| 3 | 104.26.8.44 | United States | AS13335CLOUDFLARENET |
| 3 | 18.66.122.76 | United States | AS16509AMAZON-02 |
| 3 | 52.11.118.109 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 3 | 216.239.34.36 | United States | AS15169GOOGLE |
| 3 | 104.26.9.44 | United States | |
| 3 | 104.16.79.73 | United States | |
| 3 | 3.160.150.53 | United States | AS16509AMAZON-02 |
| 3 | 64.233.184.157 | United States | Unknown |
| 3 | 13.33.187.16 | New York, New York, United States | AS16509AMAZON-02 |
| 161 | 45 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
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