Security Scan Report: www.affirm.com

Submitted: Oct 3, 2025, 6:03:54 PMCompleted: Oct 3, 2025, 6:05:03 PMpubliccompleted
Loading additional data...

Summary

This website contacted 142 IPs in 3 countries across 34 domains to perform 286 HTTP transactions. The main domain is affirm.com and was registered NaN years ago.

Submitted URL: https://www.affirm.com/

The Cisco Umbrella rank of the primary domain is #6,108 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Affirm.com is a legitimate, well‑established site with minimal risk.

Safety Factors
Long‑standing domain registration
High Cisco Umbrella ranking
Official brand presence (Affirm) with consistent branding
Clear privacy and cookie disclosures
Domain age information unavailable

Details

Page Title

Affirm | Buy now, pay later with no late fees or surprises

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Screenshot

Security scan screenshot of https://www.affirm.com/

Page Load Overview

9.49s
Total Load Time
286
HTTP Requests
34
Domains
1.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:7,615 chars
Detector Agreement:100%

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
469.173.144.139Frankfurt am Main, Hesse, Germany
AS26667RUBICONPROJECT
299.84.152.117United States
AS16509AMAZON-02
213.33.187.2New York, New York, United States
AS16509AMAZON-02
2142.250.186.36United States
AS15169GOOGLE
2162.159.140.33United States
AS13335CLOUDFLARENET
213.33.187.102New York, New York, United States
AS16509AMAZON-02
234.120.195.249Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
252.20.18.128Ashburn, Virginia, United States
AS14618AMAZON-AES
2104.16.80.73United States
AS13335CLOUDFLARENET
2104.18.26.193United States
AS13335CLOUDFLARENET
286142--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD44D9BBC194A027031115D936AA25C4C96BE1DEEF52D0A871BC837DF3DACBBE854478

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:PFOsoOso/Y00HvO9/GusV+zG34qILiLksV+qG34hILiLoG7hdVkxcQIwfkJ:9OsoOso/Y00POVG6G7hLJAkJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:275046:BHAhIa4OUmAMAILGVFxZxgwswQ7gkGAoAEM2NPAAAS0CQIggC0wsNRZIE2wRBhACOeTY4oxIVAHgQgIfHaSAGgQAiag4JowZ

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

Average Hash:fff991d393f3fff3
Perceptual Hash:ed69939236966c29
Difference Hash:3233232727260827
Wavelet Hash:88f1919193f3e783
Color Hash:#2d8633

Scan History

Scan history not available

Unable to load historical scan data