Summary
This website contacted 14 IPs in 2 countries across 4 domains to perform 95 HTTP transactions. The main domain is wakeforestnc.gov and was registered NaN years ago.
Submitted URL: https://www.wakeforestnc.gov/police/public-information/amber-alert
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government Amber Alert page with no security concerns.
Safety Factors
Details
Page Title
Amber Alert | Town of Wake Forest, NC
Scan Type
public
Language
English
Category
social media network
(78%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.wakeforestnc.gov' is registered, featuring subdomain 'www'. Count 12 characters in 'wakeforestnc' split between 4 vowels and 8 consonants. Segmentation suggests 3 words: wake, forest, nc. Median word length comes out to 4 characters. The linguistic tilt is English for 'wake'. You may catch it in Vietnamese and Chinese (Zhuyin) as well.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 17 | 104.26.13.42 | United States | AS13335CLOUDFLARENET |
| 6 | 216.239.32.36 | United States | AS15169GOOGLE |
| 6 | 216.239.34.36 | United States | AS15169GOOGLE |
| 6 | 142.250.186.136 | United States | AS15169GOOGLE |
| 6 | 135.237.219.200 | Chicago, Illinois, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 104.26.12.42 | United States | AS13335CLOUDFLARENET |
| 6 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 6 | 2606:4700:20::681a:c2a | United States | AS13335CLOUDFLARENET |
| 6 | 2a00:1450:4001:831::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 2606:4700:20::ac43:44cc | United States | AS13335CLOUDFLARENET |
| 95 | 14 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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