Security Scan Report: www.elbaal.gov

Submitted: Nov 1, 2025, 3:47:21 PMCompleted: Nov 1, 2025, 3:49:10 PMpubliccompleted
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Summary

This website contacted 31 IPs in 1 country across 7 domains to perform 139 HTTP transactions. The main domain is elbaal.gov and was registered NaN years ago.

Submitted URL: https://www.elbaal.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Official government domain
Well‑established domain age
No suspicious redirects or hidden fields
No brand impersonation or phishing cues
Domain age information unavailable

Details

Page Title

Elba, Alabama.... Discover Elba

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(55%)

Domain Information

The domain 'www.elbaal.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The registrable portion 'elbaal' spans 6 characters containing 3 vowels alongside 3 consonants. Word splitting yields two words: elba, al. The median word length lands at three characters. 'al' is most common in Esperanto usage. You may catch it in Catalan and Spanish as well.

Screenshot

Security scan screenshot of https://www.elbaal.gov/

Page Load Overview

71.28s
Total Load Time
139
HTTP Requests
7
Domains
1.1 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
Text Length:703 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service55% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
55%
government
48%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1934.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
444.206.60.214Ashburn, Virginia, United States
AS14618AMAZON-AES
43.167.227.123United States
AS16509AMAZON-02
4151.101.130.217San Francisco, California, United States
AS54113FASTLY
43.167.227.129United States
AS16509AMAZON-02
434.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
4151.101.2.217San Francisco, California, United States
AS54113FASTLY
434.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
434.192.137.100Ashburn, Virginia, United States
AS14618AMAZON-AES
43.167.227.32United States
AS16509AMAZON-02
13931--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F843D622EA9D0C3F206344DDF175975A70C3E919D69E48309AB823BA17C7CB5B347A1E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+UVMqCeeNymymyveezZXTpnYx1fL2eeaKeee6+efrVMqyM5B5f5YbF/Phveeewe2:P7XX53B5BEtYBEt/3o133o15

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57402:yCSC5NDDC8BUJbMiGEIEQRTQGcQAyEDM0MFACALkJAhgTB3D1C0LVSFwNGQmUU5AApMYmCBIuJBBBseBlzWAqEoAFbAEeoBo

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:ffff3c00d2020000
Perceptual Hash:acd292edd21a29c7
Difference Hash:3422e89496b636c9
Wavelet Hash:ffffff00d2121200
Color Hash:#40bfae

Scan History

Scan history not available

Unable to load historical scan data