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Security Scan Report: eloyaz.gov

Submitted: Nov 20, 2025, 2:11:18 AMCompleted: Nov 20, 2025, 2:14:08 AMpubliccompleted
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Summary

This website contacted 61 IPs in 2 countries across 21 domains to perform 263 HTTP transactions. The main domain is eloyaz.gov and was registered NaN years ago.

Submitted URL: https://eloyaz.gov/

AI Security Verdict

Safe Website

Confidence: 80%

2
Risk Score

Official government site with low risk despite Google branding and a circular redirect.

Risk Factors
Brand impersonation: Google branding shown on a non‑Google domain
Circular redirect detected, which can indicate URL manipulation
Safety Factors
Domain is a .gov TLD and has been registered for over 10 years
No credential or payment forms present
No external malicious domains linked
No malicious Indicators of Compromise found
Domain age information unavailable

Details

Page Title

Eloy, AZ - Official Website | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(89%)

Domain Information

The domain name 'eloyaz.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Count 6 characters in 'eloyaz' with three vowels and 3 consonants. It segments into 2 words: elo, yaz. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eloyaz.gov/

Page Load Overview

5.17s
Total Load Time
263
HTTP Requests
21
Domains
4.6 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:7,131 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network89% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
89%
government public service
75%
government
48%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
108157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
69207.38.77.102United States
AS36489NETSOLUS-NETWORKS
18157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
15172.217.23.99United States
AS15169GOOGLE
14104.18.28.155United States
AS13335CLOUDFLARENET
6157.240.253.2Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
5216.58.206.42United States
AS15169GOOGLE
4142.250.186.131United States
AS15169GOOGLE
4142.250.185.106United States
AS15169GOOGLE
454.186.57.55Boardman, Oregon, United States
AS16509AMAZON-02
26361--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EB1417E4B78C2833406722C8B0779248647A8777E6075C89FDBD53B06FE5CE4D6721AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nREPcA4Cv1TkAaaTHlGrEuBkaUMN6trTFctL9SdXy15Syg90DzKTjxbUvkyZ2UPV:n1+5aUcoGmrP3ypDzMyZ2U65BOot8B7V

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:190460:iRBDgAwLoiBBAzEkMJo0JgBc0AUDCCRBBXXDBE+CYREQyEAxAeBibBTNVBGTybHgBoQUgCknokIhBhCZFIRIkAdCymAU6FgA

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:00ffffef000081ff
Perceptual Hash:bb50ee6b116bc074
Difference Hash:8b6ce0de8e133363
Wavelet Hash:00ffff6f000081ff
Color Hash:#6ce0a8

Other Hashes

Crop Resistant:8b6ce0de8e133363,a98993a68e538c8c,d8dece8e2e2ad090,935bdb49435b1804

Scan History

Scan history not available

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