Security Scan Report: www.bhamwiki.com

Submitted: Dec 21, 2025, 5:51:24 PMCompleted: Dec 21, 2025, 5:53:22 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 15 HTTP transactions. The main domain is bhamwiki.com and was registered NaN years ago.

Submitted URL: https://www.bhamwiki.com/w/Chip_Lindsey

The Cisco Umbrella rank of the primary domain is #806,821 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate wiki page with no security concerns.

Safety Factors
Well‑established domain with long registration history
No malicious Indicators of Compromise detected
No forms collecting passwords, payment, or personal credentials
Standard hosting environment
Domain age information unavailable

Details

Page Title

Chip Lindsey - Bhamwiki

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'www.bhamwiki.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 8 characters in 'bhamwiki' with 3 vowels and 5 consonants. Breaking it apart gives 3 words: b, ham, wiki. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bhamwiki.com/w/Chip_Lindsey

Page Load Overview

96.73s
Total Load Time
15
HTTP Requests
1
Domains
25 KB
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:2,583 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.21.96.7United States
AS13335CLOUDFLARENET
7172.67.150.29United States
AS13335CLOUDFLARENET
152--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15FA22B232ED86A3B86374294B894BB18F6F390C6D351084075EC8A1C1FD7C945FAB62F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:lKOmd4LryPi+nRGrNMnZQeIO/4nZp4FMMr6owJIgHsfnx/3:lKOmdi+nR6pemo6oysfx/3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21319:HQIKGTOGGAmCDIqcggskCSoFBQrCjtCYFiJVABpmgAY2F0+gUUWAoShTwiIgABcOUB2cgDmBIywkFTJQBjUQCAwUOQQBCBBQ

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:3f3f7cfcfcfcffff
Perceptual Hash:d285a5524af55ab5
Difference Hash:c0f6d5b989999587
Wavelet Hash:3f1f1c5c40dc43e3
Color Hash:#5940bf

Scan History

Scan history not available

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