Security Scan Report: thankyou-2we.pages.dev

Submitted: Jan 24, 2026, 2:47:22 AMCompleted: Jan 24, 2026, 2:48:33 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 18 domains to perform 23 HTTP transactions. The main domain is thankyou-2we.pages.dev and was registered NaN years ago.

Submitted URL: https://thankyou-2we.pages.dev/

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Generic marketing page on a newly created subdomain with many redirects; moderate risk, no clear malicious activity.

Risk Factors
Excessive redirects (13) may indicate URL manipulation
New subdomain on a hosting platform with unknown age
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns found
HTTPS connection (secure transport)
No external domains linked
Domain age information unavailable

Details

Page Title

AI Sales Nitro Booster

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(50%)

Domain Information

You're looking at domain 'thankyou-2we.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'thankyou-2we'. The second-level label 'pages' is 5 characters long containing 2 vowels alongside 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://thankyou-2we.pages.dev/

Page Load Overview

4.22s
Total Load Time
45
HTTP Requests
20
Domains
27.9 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:19,236 chars
Detector Agreement:75%

Website Classification

Primary Category

technology software50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
50%
documentation technical
36%
education learning
34%
blog personal website
34%
finance banking
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9188.114.97.3United States
AS13335CLOUDFLARENET
6172.67.68.11United States
AS13335CLOUDFLARENET
6162.125.66.18Frankfurt am Main, Hesse, Germany
AS19679DROPBOX
6157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
6142.250.185.138United States
AS15169GOOGLE
6216.58.206.67United States
AS15169GOOGLE
6162.125.66.15Frankfurt am Main, Hesse, Germany
AS19679DROPBOX
457--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175C352B911F128A7259384F9E7D16B27AE78DA6BC51FC984739C0660BFCFC529903318

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:tZMh4KBqzWIiV6HMiwU8Flx/qxvXagAy1giTcxPHqx/H:3MhVs9siH8FlRqGy1BciH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:122508:/6BUkKEGk2MAECQTXIAHFKoyc2gJAQ1T3xdVHQzUOwEODAEBgiCgBW7IYEoYrMgFRJKIYA6JELoCKCBBBSYHgDBEJrgABQhU

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:00003c3c3c1800ff
Perceptual Hash:8a53257c9e539956
Difference Hash:4101797171310133
Wavelet Hash:01013d3d7d3901ff
Color Hash:#5f2d86

Other Hashes

Scan History

Scan history not available

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