Security Scan Report: www.virginiabeachcasa.org

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Submitted: May 20, 2026, 3:27:08 PMCompleted: May 20, 2026, 3:29:10 PMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 7 domains to perform 45 HTTP transactions. The main domain is virginiabeachcasa.org and was registered NaN years ago.

Submitted URL: https://www.virginiabeachcasa.org/child-abuse-and-neglect

AI Security Verdict

Safe Website

Confidence: 92%

2
Risk Score

The site appears legitimate with low risk; no phishing, credential harvesting, or malware indicators were found.

Risk Factors
Critical JavaScript obfuscation score (high entropy, base64 encoding)
Domain is unranked in Cisco Umbrella (not in top 1 M)
Safety Factors
Established domain age (>18 years) reduces risk
Self‑branded meta tags align with domain name
No forms or credential collection mechanisms
No malicious IoC matches or network IDS alerts
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

VIRGINIA BEACH CASA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(82%)

Domain Information

You're looking at domain 'www.virginiabeachcasa.org' on the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. Its registrable label 'virginiabeachcasa' stretches across 17 characters containing 8 vowels alongside 9 consonants. Tokenizing the label suggests three words: virginia, beach, casa. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.virginiabeachcasa.org/child-abuse-and-neglect

Page Load Overview

32.19s
Total Load Time
47
HTTP Requests
9
Domains
573 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:6,311 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service82% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
82%
healthcare medical
63%
education learning
55%
documentation technical
55%
news media journalism
33%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1118.244.20.158United States
AS16509Amazon.com, Inc.
6108.138.7.94United States
AS16509Amazon.com, Inc.
654.192.35.106United States
AS16509Amazon.com, Inc.
618.215.207.52Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
613.248.175.166United States
AS16509Amazon.com, Inc.
6143.204.181.121United States
AS16509Amazon.com, Inc.
6142.251.110.97United States
AS15169Google LLC
477--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D563EA63F9D60533602390EEF7B77716B2A1920ED75548407A9D5261EFCBE33A22278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ASoVgW360JsGor9XW1NRRznW0YzXDnD+NAdpaCE9RYuKbBiY7jHtcxNGCqY+Pu9K:hzGor9XkNRRznW0YzXDnD+NAdpaCEwXL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:69678:BJxGwhiMSLgJBCAYoAWZVWUBClDgqjDkBoSECoDSAHimQCCByEMsEgXNlBQBcZCKQWAAAxcAEwgYHZQxEDBQEQggICAbIqmD

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:000000ffffffff00
Perceptual Hash:bc4e0ab839b939b8
Difference Hash:336931003e1e1c95
Wavelet Hash:000000ffffffff00
Color Hash:#c9e06c

Scan History

Scan history not available

Unable to load historical scan data