Security Scan Report: callboyapp.pages.dev

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Submitted: Dec 10, 2025, 11:33:28 PMCompleted: Dec 10, 2025, 11:34:46 PMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 3 domains to perform 39 HTTP transactions. The main domain is callboyapp.pages.dev.

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

AI Security Verdict

Safe Website

Confidence: 80%

0
Risk Score

Site appears legitimate with no security threats detected.

Safety Factors
No credential harvesting forms
No payment collection fields
No malicious Indicators of Compromise
Content does not mimic any known reputable brand
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

Domain 'callboyapp.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'callboyapp'. Its registrable label 'pages' stretches across 5 characters holding two vowels versus three 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 https://callboyapp.pages.dev/

Page Load Overview

10.77s
Total Load Time
39
HTTP Requests
3
Domains
488 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
42%
technology software
42%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.17.25.14United States
AS13335CLOUDFLARENET
3104.16.174.226United States
AS13335CLOUDFLARENET
3104.17.24.14United States
AS13335CLOUDFLARENET
3104.16.175.226United States
AS13335CLOUDFLARENET
3188.114.97.3United States
AS13335CLOUDFLARENET
3188.114.96.3United States
AS13335CLOUDFLARENET
32606:4700::6810:aee2United States
AS13335CLOUDFLARENET
32a06:98c1:3120::3United States
AS13335CLOUDFLARENET
32606:4700::6811:180eUnited States
AS13335CLOUDFLARENET
32606:4700::6810:afe2United States
AS13335CLOUDFLARENET
3912--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11FF36B3B58E02D59632193616DD2B2661F72A433E52F3AD5B0DD208D1FC2EC289D37AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xApDTQu56yMY5X46dJ4ezcliPMV+sqSKcpembj9YesYy7ax9ufx4zN2fnAEGc:Ep53MYu54C9ufx4B2fhGc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:159411:hSABHg6AAQZMKQBAmxIFoJYvqVA4A4sxDYBIQABRwgY/AwqHgPyEHAWggIc6CLAJQaSYUmKAFQpAgjwaAEIOkFIYgi4gAkIn

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:ff000000ffffff00
Perceptual Hash:8a0e0ef726bc8cd5
Difference Hash:672931150f1723b1
Wavelet Hash:ff000000ffffff00
Color Hash:#3a785b

Scan History

Scan history not available

Unable to load historical scan data