Security Scan Report: wakeabc.com

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Submitted: Dec 4, 2025, 12:14:59 PMCompleted: Dec 4, 2025, 12:16:25 PMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 6 domains to perform 60 HTTP transactions. The main domain is wakeabc.com and was registered NaN years ago.

Submitted URL: https://wakeabc.com/lottery/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate Wake County ABC lottery page.

Safety Factors
Long‑standing domain registration
Official‑looking contact email ([email protected])
Simple search form only, no data collection beyond search
Domain age information unavailable

Details

Page Title

Lottery - Wake County ABC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

Domain 'wakeabc.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'wakeabc' spans 7 characters with three vowels and four consonants. It segments into 2 words: wake, abc. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wakeabc.com/lottery/

Page Load Overview

0.89s
Total Load Time
60
HTTP Requests
6
Domains
1.2 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:6,891 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
40%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
49199.16.172.32San Francisco, California, United States
AS2635AUTOMATTIC
3142.250.184.195United States
AS15169GOOGLE
3142.250.185.104United States
AS15169GOOGLE
3216.239.34.36United States
AS15169GOOGLE
3199.16.173.25San Francisco, California, United States
AS2635AUTOMATTIC
352.204.109.140Ashburn, Virginia, United States
AS14618AMAZON-AES
350.19.243.75Ashburn, Virginia, United States
AS14618AMAZON-AES
32a00:1450:4001:830::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32001:4860:4802:34::36United States
AS15169GOOGLE
32a00:1450:4001:81c::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
6016--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13973C7F3944D643BA62B63D4B069B328D3919164CF499AD1B3FD21BCC7C9FA125A320D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:uWSypJXBt0uoRyvzxujclZAmUWMpK7O1KBApjlYO+MqwmdluGlW7dsD6e0El4xUf:uWL/XBt7oRyvzxmD91UyCkc/CzprESHk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73388:LHpJOgZoQkCQfENAIAzISYCBMhczMZm3KBdguNEEBBAIsRAJAJAB0sgAUKAmFVizgfABAACQOBj00lAMwqCAgLiOgEDYoLBB

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:000000ffffffffff
Perceptual Hash:880848f5b7b77372
Difference Hash:3131b54b50330f49
Wavelet Hash:00000001ffffe7ff
Color Hash:#8de06c

Scan History

Scan history not available

Unable to load historical scan data