Security Scan Report: callboyapp.pages.dev

Redirected to: https://callboyapp.pages.dev/

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Submitted: Dec 11, 2025, 12:12:32 PMCompleted: Dec 11, 2025, 12:13:38 PMpubliccompleted
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Summary

This website contacted 14 IPs in 1 country across 3 domains to perform 24 HTTP transactions. The main domain is callboyapp.pages.dev and was registered NaN years ago.

Submitted URL: http://callboyapp.pages.dev/

Effective URL: https://callboyapp.pages.dev/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security threats detected; site appears legitimate.

Safety Factors
Well‑established domain (>5 years)
No credential‑harvesting or payment collection
Domain age information unavailable

Details

Page Title

CallBoy App – Download Now for Verified Call Boy Jobs & Gigolo Services

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(48%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'callboyapp.pages.dev' is registered with subdomain 'callboyapp'. Its registrable label 'pages' stretches across 5 characters containing two vowels alongside 3 consonants. Word splitting yields one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://callboyapp.pages.dev/

Page Load Overview

7.01s
Total Load Time
24
HTTP Requests
3
Domains
300 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:48,807 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
48%
government public service
43%
technology software
41%
news media journalism
26%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.16.175.226United States
AS13335CLOUDFLARENET
1104.16.174.226United States
AS13335CLOUDFLARENET
1104.17.24.14United States
AS13335CLOUDFLARENET
1104.17.25.14United States
AS13335CLOUDFLARENET
1188.114.96.3United States
AS13335CLOUDFLARENET
1188.114.97.3United States
AS13335CLOUDFLARENET
12a04:4e42:200::485United States
AS54113FASTLY
12a04:4e42:600::485United States
AS54113FASTLY
12606:4700::6811:180eUnited States
AS13335CLOUDFLARENET
12a04:4e42::485United States
AS54113FASTLY
2414--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B9F36B3B58E02D59632193616DD2B2661F72A433E52F3AD5B0DD208D1FC2EC289D37AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xApDTQu56yMY5p46dJ4ezcliPMV+sqSKcpembj9YesYy7ax9ufx4zN2fnAEGc:Ep53MY054C9ufx4B2fhGc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:159352:gjCgrEIAuBBGEBWsFGCIaoUgYAwAgFEJCQBBYLS3ISF1AjSxiGPllCiIBAoBcFGgYSQEwJMrCAcTKB+HGHQAiCAuWiloENmK

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:bf000000ffffff00
Perceptual Hash:aa0a4af766a4ccd5
Difference Hash:6ff9f5f70f1723b1
Wavelet Hash:ff000000ffffff00
Color Hash:#9e87c5

Scan History

Scan history not available

Unable to load historical scan data