Security Scan Report: moabcity.gov

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Submitted: Nov 22, 2025, 5:45:23 PMCompleted: Nov 22, 2025, 5:47:48 PMpubliccompleted
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Summary

This website contacted 39 IPs in 2 countries across 14 domains to perform 120 HTTP transactions. The main domain is moabcity.gov and was registered NaN years ago.

Submitted URL: https://moabcity.gov/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

High‑risk phishing site impersonating Google on a .gov domain.

Risk Factors
Brand impersonation on an unrelated .gov domain
Unranked domain presenting a well‑known brand
Domain age information unavailable

Details

Page Title

Moab, UT - Official Website | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(60%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'moabcity.gov' is registered. Its registrable label 'moabcity' stretches across 8 characters containing three vowels alongside 5 consonants. It segments into 2 words: moab, city. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.39s
Total Load Time
120
HTTP Requests
14
Domains
1.9 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:4,013 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service60% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
60%
government
48%
finance banking
46%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
61208.90.191.239United States
AS393775IPP-AS
25104.18.28.155United States
AS13335CLOUDFLARENET
11142.250.186.131United States
AS15169GOOGLE
635.82.201.249Boardman, Oregon, United States
AS16509AMAZON-02
6104.26.7.19United States
AS13335CLOUDFLARENET
5142.250.185.202United States
AS15169GOOGLE
354.186.57.55Boardman, Oregon, United States
AS16509AMAZON-02
3142.251.140.168United States
AS15169GOOGLE
3172.67.74.218United States
AS13335CLOUDFLARENET
3172.67.197.50United States
AS13335CLOUDFLARENET
12039--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A8D36DE0E25C1037812332C5F1B6BB48A47AD177EA074C58FDBE45706BE4CF4A6356AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jZOPcA4CE1afkAyC2E9RC6vcFBe+XC5zLPYMVIlmXwUiqVSvjLkEdezqO5BIqu8+:jL+9vy65DVIlmXwUiqVUjLkwk5BRFs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:138591:mBSnAGpAkQiKADYgwcBYAyGQHChawkWACQDREEYgKyCkMrCQXABiBC3C0WLAEBJw6yCAlBpJCDEZThDExyoYEYVsAILBtQYS

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:0000f00000ffffff
Perceptual Hash:f658f12600e9ed27
Difference Hash:828c0064ec6d084c
Wavelet Hash:0000e07c00ffffff
Color Hash:#8b79d2

Scan History

Scan history not available

Unable to load historical scan data