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Security Scan Report: models.com

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Submitted: Oct 16, 2025, 10:04:12 AMCompleted: Oct 16, 2025, 10:05:32 AMpubliccompleted
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Summary

This website contacted 35 IPs in 3 countries across 10 domains to perform 95 HTTP transactions. The main domain is models.com and was registered NaN years ago.

Submitted URL: https://models.com/models/kendall-jenner

AI Security Verdict

Safe Website

Confidence: 85%

4
Risk Score

Legitimate site with login form; no major threats detected.

Risk Factors
Hidden password field not visible in screenshot (potential credential harvesting trap)
Safety Factors
Domain registered in 1994 (long‑standing reputation)
Well‑known fashion industry site (models.com)
No malicious Indicators of Compromise detected
No payment collection fields
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(41%)

Domain Information

You're looking at domain 'models.com' on the commercial generic top-level domain (.com) without a subdomain. The core label 'models' covers 6 characters with two vowels and 4 consonants. Segmentation suggests one word: models. 'models' is most common in Catalan usage. You may catch it in English and Sinhala as well.

Screenshot

Security scan screenshot of https://models.com/models/kendall-jenner

Page Load Overview

22.39s
Total Load Time
95
HTTP Requests
10
Domains
1.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:4,687 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network41% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
41%
entertainment media
32%
news media journalism
31%
news/blog
20%
forum
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27104.18.28.29United States
AS13335CLOUDFLARENET
2104.21.91.215United States
AS13335CLOUDFLARENET
2142.250.185.234United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
2104.18.29.29United States
AS13335CLOUDFLARENET
2172.67.180.120United States
AS13335CLOUDFLARENET
2142.250.186.168United States
AS15169GOOGLE
2142.250.186.136United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
2104.17.24.14United States
AS13335CLOUDFLARENET
9535--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19753F8332488163F165753C5F7717B1EA1E396BADA2A4909E2F48F9A6BC1DC1CC2144F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:hduQUfarJ6qNKHnmkV+DAxKmnEWSQXppivE1FQKWeeLVq6:zuQUfaroqNKyDAxEQXR6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62666:eKFx5OgIchgNQQABKGAAwCPSCXE+TIKRBQRCNIIqAAkQAgkD6AGA3IAAoAMD+ICso+GhgYQJ5RJA49zZEeQhFpIBwFBAAMBD

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:9d8f8fdbfbcbcfef
Perceptual Hash:b91c92c3cf8263ce
Difference Hash:393e3633221a1c1c
Wavelet Hash:9d828389c3c3c7e7
Color Hash:#2d8646

Other Hashes

Crop Resistant:393e3633221a1c1c,2d0d0d0d49d9898c

Scan History

Scan history not available

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