Security Scan Report: www.giantbomb.com

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Submitted: Nov 28, 2025, 6:21:57 AMCompleted: Nov 28, 2025, 6:27:00 AMpubliccompleted
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Summary

This website contacted 24 IPs in 0 countries across 10 domains to perform 128 HTTP transactions. The main domain is giantbomb.com.

Submitted URL: https://www.giantbomb.com/carlos-boozer/3005-6585/

The Cisco Umbrella rank of the primary domain is #187,110 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Carlos Boozer (Character) - Giant Bomb

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

malicious

(55%)

Domain Information

Domain 'www.giantbomb.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'giantbomb' covers 9 characters holding 3 vowels versus six consonants. Breaking it apart gives two words: giant, bomb. Median word length comes out to 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.giantbomb.com/carlos-boozer/3005-6585/

Page Load Overview

1.89s
Total Load Time
128
HTTP Requests
10
Domains
4.9 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:33,700 chars
Detector Agreement:100%

Website Classification

Primary Category

malicious55% confidence
Type: spa
Method: ml+structural

All Detected Categories

malicious
55%
other
45%
e-commerce
32%
legitimate website
25%

Detected Features

Search
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
87146.75.120.194UnknownUnknown
27104.18.87.42UnknownUnknown
13104.18.86.42UnknownUnknown
574.120.189.205UnknownUnknown
5199.232.212.194UnknownUnknown
5142.250.186.67UnknownUnknown
574.120.188.204UnknownUnknown
5172.64.155.119UnknownUnknown
5104.20.35.150UnknownUnknown
52a06:98c1:3104::6812:2089UnknownUnknown
12824--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF34F860A5F0263B01AB53E5F7229B2476DBD38BC766418076FD43B81FCBE94E913498

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yt4i4n1QDNfj5DNfRplSZC7So5LhWjWXyF4Kalu9FsiX9jopz5f5b:e4i4n1QJ75JJplSQSo7salu9LX9Yd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:243580:0GgAgvBGJ3Q7CjSQC6CLxyFPRAITMEAESKBAYAyQLAaYUCLAkESSCgwCgQDkZQAaFkpnGDBBTOHRAUShgXhoABRLIhdAF19D

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:00ff01c0c0c0c0c0
Perceptual Hash:e88f1770696a0f36
Difference Hash:254d859391919595
Wavelet Hash:00ff01f9fbe1c1c1
Color Hash:#2d8686

Scan History

Scan history not available

Unable to load historical scan data