Security Scan Report: wakenc.mugshots.zone

Submitted: Oct 24, 2025, 2:36:38 PMCompleted: Oct 24, 2025, 2:38:30 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is wakenc.mugshots.zone and was registered NaN years ago.

Submitted URL: https://wakenc.mugshots.zone/mcphee-douglas-michael-mugshot-10-24-2025/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
Absence of suspicious forms or scripts
Page returns 502 Bad Gateway (no malicious content delivered)
Domain age information unavailable

Details

Page Title

MCPHEE DOUGLAS MICHAEL 10/24/2025 - Wake County Mugshots Zone

Scan Type

public

Language

🇺🇸

English

(72% confidence)

Category

technology software

(49%)

Domain Information

You're looking at domain 'wakenc.mugshots.zone' on the .zone top-level domain with subdomain 'wakenc'. The registrable portion 'mugshots' spans 8 characters with 2 vowels and six consonants. It segments into 2 words: mug, shots. Median word length comes out to 4 characters. The linguistic tilt is Chinese (Pinyin) for 'mug'. You will also see it in English and Danish contexts.

Screenshot

Security scan screenshot of https://wakenc.mugshots.zone/mcphee-douglas-michael-mugshot-10-24-2025/

Page Load Overview

31.08s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:72%
Script Type:Latin
Text Length:71 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software49% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
49%
cryptocurrency blockchain
35%
documentation technical
35%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
218.219.134.116Columbus, Ohio, United States
AS16509AMAZON-02
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145C08C3E82A21825B8EEB658888063401CA98042424AA803B2C9D88C8F0846DE99F3E2

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxAvNXFnEznmS13J5AEtvxL//4tznmS1pH/PWE6FUTuOOeuz:qzxAY1AEdxsLzGEuauO5uz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:e167540526122531686dbb0980d4a9cc

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:3fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#c59787

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data