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Security Scan Report: fandomwire.com

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Submitted: Oct 9, 2025, 10:33:49 PMCompleted: Oct 9, 2025, 10:34:55 PMpubliccompleted
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Summary

This website contacted 196 IPs in 5 countries across 51 domains to perform 286 HTTP transactions. The main domain is fandomwire.com and was registered NaN years ago.

Submitted URL: https://fandomwire.com/ella-beatty-becomes-ryan-murphys-blood-soaked-new-monster-look-inside/

The Cisco Umbrella rank of the primary domain is #256,673 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
Standard informational content with no credential collection
Domain age information unavailable

Details

Page Title

Ella Beatty Becomes Ryan Murphy’s Blood-Soaked New Monster: Look Inside

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(94%)

Domain Information

Within the commercial generic top-level domain (.com), 'fandomwire.com' is registered. The registrable portion 'fandomwire' spans 10 characters holding 4 vowels versus 6 consonants. Word splitting yields 2 words: fandom, wire. Median word length is five characters. 'fanom' most strongly signals Polish. It also appears in Galician and Afrikaans contexts. Taken together, it feels Polish.

Screenshot

Security scan screenshot of https://fandomwire.com/ella-beatty-becomes-ryan-murphys-blood-soaked-new-monster-look-inside/

Page Load Overview

9.90s
Total Load Time
286
HTTP Requests
51
Domains
4.4 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-US
Text Length:8,446 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media94% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
94%
social media network
79%
news/blog
50%
corporate
35%
forum
20%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
91162.19.138.120Frankfurt am Main, Hesse, Germany
AS16276OVH SAS
118.66.102.63United States
AS16509AMAZON-02
13.160.150.61United States
AS16509AMAZON-02
13.160.150.40United States
AS16509AMAZON-02
168.183.102.150North Bergen, New Jersey, United States
AS14061DIGITALOCEAN-ASN
164.233.167.157United States
AS15169GOOGLE
118.66.102.117United States
AS16509AMAZON-02
1104.21.92.252United States
AS13335CLOUDFLARENET
113.35.58.35United States
AS16509AMAZON-02
113.32.99.20New York, New York, United States
AS16509AMAZON-02
286196--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T100741AB3F9EC1069126792C06255F76D6728E043E6028FD4B2ED9768DFC5AF12932B4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:vyUO6Wie+7cFPRykw1qzVsPU8/u6o3oStKJ3qrgUG:86WiemcFPRykw1qzVsZJ3q6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:339320:YeAIDCAYIg8lCAGxB4SCSgCe6YzmAEzJEwECIQWiAIJVtgkAxJE2HI2CTY5gCEWKwI9JBDAoAArBERhAOGw/GgAGQgoIBZcA

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:0004047878787800
Perceptual Hash:c3363ec96d383691
Difference Hash:37cdcdd1d1d1d1cd
Wavelet Hash:0027057d7d7d7d05
Color Hash:#4ed22d

Other Hashes

Crop Resistant:cbcbf0c2c0c0c8c6,dcd9d8d0c4694146,dc5c6cfcbebe9fcf,36ccccd1d1d1d1cd

Scan History

Scan history not available

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