Security Scan Report: www.blackerfriday.com

Submitted: Nov 24, 2025, 11:50:00 PMCompleted: Nov 24, 2025, 11:52:47 PMpubliccompleted
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Summary

This website contacted 33 IPs in 3 countries across 14 domains to perform 56 HTTP transactions. The main domain is blackerfriday.com and was registered NaN years ago.

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

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Site mimics major retailers on an unranked domain, high risk of phishing.

Risk Factors
Brand impersonation/typosquatting on an unrelated domain
Unranked/low‑reputation domain presenting well‑known retailer names
No legitimate brand verification in final URL
Domain age information unavailable

Details

Page Title

Black Friday 2025 Sales, Rumors, Predictions & Ads

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(70%)

Domain Information

The domain name 'www.blackerfriday.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'blackerfriday' spans 13 characters holding four vowels versus 9 consonants. Segmentation suggests two words: blacker, friday. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.36s
Total Load Time
56
HTTP Requests
14
Domains
836 KB
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-US
Text Length:67,137 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
70%
documentation technical
57%
technology software
48%
adult content
39%
corporate business
35%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
16188.114.96.3United States
AS13335CLOUDFLARENET
6142.250.184.227United States
AS15169GOOGLE
6216.58.206.78United States
AS15169GOOGLE
3142.250.184.194United States
AS15169GOOGLE
2142.250.186.106United States
AS15169GOOGLE
166.102.1.154United States
AS15169GOOGLE
1142.250.185.136United States
AS15169GOOGLE
1172.217.18.8United States
AS15169GOOGLE
166.102.1.155United States
AS15169GOOGLE
5633--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C4E3857383C596874671D3CC98787A5C520702EBD246BFCFEBC6849AEC4C9E7345909A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hwRKaEyzv3oAfxzdShrYfuH/ax53BPIvGa2lHCmg5H2TjT20SZH:hwRs+RTfNzZIvGa2lC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:155064:BQIK5FgI4QTBA6BpMEAoNOArQlZniQgNWQQVU88AAQFHFYMyUGATAqwQmkTxNiTEocAAgi0BowpgBMiRAeIIgwZAlUAEQHLA

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:075f7f777f7f7f7f
Perceptual Hash:803e3f3f26262637
Difference Hash:fcb0e4e5f8e4f4c0
Wavelet Hash:03071f430757177f
Color Hash:#9ad279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data