Security Scan Report: comic-watch.com

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Submitted: Dec 25, 2025, 5:48:40 PMCompleted: Dec 25, 2025, 5:49:47 PMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 20 domains to perform 110 HTTP transactions. The main domain is comic-watch.com and was registered NaN years ago.

Submitted URL: https://comic-watch.com/news/simon-williams-makes-it-big-this-march-starring-in-an-all-new-wonder-man-limited-comic-series

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
No credential or payment collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Simon Williams Makes It Big This March, Starring In An All-New Wonder Man Limited Comic Series - Comic Watch

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(94%)

Domain Information

Domain 'comic-watch.com' uses the commercial generic top-level domain (.com) with no subdomain. The core label 'comic-watch' covers 11 characters holding 3 vowels versus seven consonants, plus one hyphen. Breaking it apart gives 2 words: comic, watch. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://comic-watch.com/news/simon-williams-makes-it-big-this-march-starring-in-an-all-new-wonder-man-limited-comic-series

Page Load Overview

7.65s
Total Load Time
142
HTTP Requests
24
Domains
2.8 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:70,047 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

entertainment media
94%
social media network
86%
news media journalism
83%
news/blog
35%
forum
35%

Detected Features

Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.250.186.138Sweden
8192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
835.227.211.136United States
AS396982GOOGLE-CLOUD-PLATFORM
8216.239.34.36Unknown
835.186.236.140United States
AS396982GOOGLE-CLOUD-PLATFORM
83.174.45.89Unknown
8192.0.77.32San Francisco, California, United States
AS2635AUTOMATTIC
8148.72.28.123Ashburn, Virginia, United States
AS398101GO-DADDY-COM-LLC
8104.16.174.226United States
AS13335CLOUDFLARENET
8142.251.141.104UnknownUnknown
14217--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13505A672F840143FA73F45C4A649D71AB2D6A31FE5D90450D2EA036C87E9EB8B41F2A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:6ETPU+7JypWK1MN2Ueya+edtTWSyChbtBigLMXHl:lTPUo4pWK1MN2UeLbTWSyChsXl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:870008:NEE8wBAlrMAAdURGgiAaQCZ4QMA4QSgFQQCYUxShgtrJIEYh/WKRBEIVCIAASIiY5DDqMzUfJGgSSIghAxgBQeqAxCBJFKsM

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:0000bd3cbdbd3c80
Perceptual Hash:9c14366736dc9c9c
Difference Hash:ccb032b232b2320c
Wavelet Hash:00001cbfbcbcfc84
Color Hash:#93461f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data