ScanMalware.com

Security Scan Report: test-4bf.pages.dev

Submitted: Jan 23, 2026, 5:28:02 AMCompleted: Jan 23, 2026, 5:29:10 AMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is test-4bf.pages.dev and was registered NaN years ago.

Submitted URL: https://test-4bf.pages.dev/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Legitimate thank‑you page on a new subdomain, low risk.

Risk Factors
Subdomain on hosting platform with unknown age (potentially newly created)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
No external links or redirects to suspicious domains
Page content is a simple thank‑you message
Domain age information unavailable

Details

Page Title

Thank You - Welcome to AI Sales Nitro Booster!

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

You're looking at domain 'test-4bf.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'test-4bf'. The second-level label 'pages' is 5 characters long holding two vowels versus 3 consonants. Word splitting yields one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://test-4bf.pages.dev/

Page Load Overview

1.39s
Total Load Time
17
HTTP Requests
6
Domains
233 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
Text Length:965 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
69%
corporate business
62%
cryptocurrency blockchain
30%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.58.206.74United States
AS15169GOOGLE
3172.67.68.11United States
AS13335CLOUDFLARENET
3188.114.97.3United States
AS13335CLOUDFLARENET
3172.217.20.131United States
AS15169GOOGLE
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
175--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E82CA29526130667DB340F6E6D27A29793990C7DA3BC6A9768D4510FFDED7208C3708

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:h1myfX8TN/bVdQhGSCyHdf9oxGiygZfPJH7JXeS7JXex/27xgX98inENS+WbQcJO:h1EmwhL72L+WbQxcm7OFowinx/R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18898:QLAtBwUB6xHCiwIQCpQYQAQTKtlQ4JERkZQUQEBWVJQzEFsSEBJEEShQSNGM1gMM/EiKRTDsgIGgWg4GAtYrhBcXIAQVMpEI

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:ffefefffffc3c3c3
Perceptual Hash:b5d3248e8e38999b
Difference Hash:080c1c160e969696
Wavelet Hash:e6e6c2c2c3c3c3c3
Color Hash:#864c2d

Other Hashes

Crop Resistant:080c1c160e969696

Scan History

Scan history not available

Unable to load historical scan data