Security Scan Report: thecannibalguy.com

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Submitted: Feb 3, 2026, 7:00:52 AMCompleted: Feb 3, 2026, 7:03:51 AMpubliccompleted
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Summary

This website contacted 21 IPs in 3 countries across 28 domains to perform 51 HTTP transactions. The main domain is thecannibalguy.com and was registered NaN years ago.

Submitted URL: https://thecannibalguy.com/2024/06/16/the-model-and-the-cannibals/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

The model and the cannibals: Gabriela Rico Jimenez – The Cannibal Guy

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

Within the commercial generic top-level domain (.com), 'thecannibalguy.com' is registered and has no subdomain. The second-level label 'thecannibalguy' is 14 characters long with five vowels and nine consonants. Tokenizing the label suggests 3 words: the, cannibal, guy. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://thecannibalguy.com/2024/06/16/the-model-and-the-cannibals/

Page Load Overview

100.24s
Total Load Time
127
HTTP Requests
37
Domains
1.5 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:9,320 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%
news
30%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
735.153.233.194France
6192.0.78.22Germany
6164.132.25.185United States
6162.19.138.83Unknown
6142.251.141.142Unknown
6172.64.146.226Unknown
6192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
63.167.227.4Unknown
6131.153.232.253Unknown
63.167.231.151UnknownUnknown
12721--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AEE34D72926D18B66F5B03DAA87EB319716EAB3BC68096D9B0F2405C0FC0CFE116755C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rw9n/noTRqfdj9aaL3XR0frEaZklkkFtjU9njVRvg:EGRqfdjcs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:152101:lDYVELBFU0EgCEC4FkQDGgsZsQEiBIiCCpQACEQWIACAoP5UAUESIdMKAICGpEkElz5MlQhILyh3CgBQC6aKQBCAUKGIAxI2

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:ffff030000027fff
Perceptual Hash:85fad2257c0d35e8
Difference Hash:4e09f272f6eec23c
Wavelet Hash:ffff030000003fff
Color Hash:#ac7753

Scan History

Scan history not available

Unable to load historical scan data