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Security Scan Report: www.bearrivercityutah.gov

Submitted: Dec 13, 2025, 9:31:14 PMCompleted: Dec 13, 2025, 9:32:12 PMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 7 domains to perform 38 HTTP transactions. The main domain is bearrivercityutah.gov and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established domain age (>180 days)
No malicious Indicators of Compromise
No credential or payment collection forms
No evidence of phishing or malware
Domain age information unavailable

Details

Page Title

Bear River City – Best Little Town in Utah

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(85%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.bearrivercityutah.gov' is registered; it also runs on subdomain 'www'. The registrable portion 'bearrivercityutah' spans 17 characters holding 7 vowels versus ten consonants. It segments into 4 words: bear, river, city, utah. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

29.51s
Total Load Time
38
HTTP Requests
7
Domains
755 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-US
Text Length:2,877 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
85%
documentation technical
65%
government
48%
adult content
32%
real estate property
31%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
2104.21.88.204United States
AS13335CLOUDFLARENET
2192.0.77.37San Francisco, California, United States
AS2635AUTOMATTIC
2142.250.186.138United States
AS15169GOOGLE
2192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
2142.250.185.163United States
AS15169GOOGLE
2172.67.153.24United States
AS13335CLOUDFLARENET
2216.58.206.67United States
AS15169GOOGLE
22a00:1450:4001:829::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
22606:4700:3036::6815:58ccUnited States
AS13335CLOUDFLARENET
3813--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112A309A2C36484F636BA47395D54E378A0C6D906DF161BC4F0E2D138D1CDAEA28F3B59

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RJeTyp00iLE1RmT8QTc+vSkqeoGUGPJku0J:Rs+WT8QTc+qkqeoGUGPJku0J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:102054:ItABKBCYJQUioBoCBAJ0BFmMCAC4JEMU2h8CW0mR4iAUwfEkFAPQFQUZGgBHEqwNSCAgQCgWO0SgAUK0YkoKJCEhFQxE6Qiw

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:b0000000ffffffff
Perceptual Hash:e565d4d42c34d2d3
Difference Hash:24468957d3a80e2a
Wavelet Hash:00000000ffffffff
Color Hash:#e06cd0

Other Hashes

Crop Resistant:133b23c3233361e9,24468957d3a80e2a,e3e149cd8c8e8687,642626ca8d4f53d7

Scan History

Scan history not available

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