Security Scan Report: www.eagaraz.gov

Submitted: Oct 11, 2025, 6:45:38 PMCompleted: Oct 11, 2025, 6:46:23 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is eagaraz.gov.

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

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

Site uses URL spoofing; classified as high‑risk phishing.

Risk Factors
URL manipulation (spoofed address bar)
Unranked domain (low reputation)
Unknown or very new domain age
Domain age information unavailable

Details

Page Title

www.eagaraz.gov

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

government public service

(68%)

Domain Information

The domain 'www.eagaraz.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. Its registrable label 'eagaraz' stretches across 7 characters split between 4 vowels and 3 consonants. Word splitting yields two words: eagar, az. Average segment length settles at 3.5 characters. Most frequently, 'az' shows up in Hungarian. Secondary signals appear in Vietnamese and Breton.

Screenshot

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

Page Load Overview

12.50s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
HTML Lang Attribute:en
Text Length:161 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service68% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
68%
documentation technical
50%
healthcare medical
38%
news media journalism
36%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.75.122.37Frankfurt am Main, Hesse, Germany
AS54113FASTLY
02a04:4e42:8e::549Frankfurt am Main, Hesse, Germany
AS54113FASTLY
12--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196048F77329A063986554498E057430D9F20B143B50AC9BCBABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:7fQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIszK2bMy8OldV:khoC9J395CbZgLtSL3gcrsm2eAv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183506:IEErAgHybBIhFU04AEAJS4NIEAAQjpzMFYBgJCAgkCyoeqMRVhkwAAByJAUEAlljByUEhiAmQwiAQgQCZHguQCqUcACJmpYK

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:ffcfc7f3ffffffff
Perceptual Hash:a1319bcecc6c3333
Difference Hash:00181c0600000000
Wavelet Hash:ffdfc7f300000000
Color Hash:#79d294

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

Unable to load historical scan data