Security Scan Report: www.cityofstanleyid.gov

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Submitted: Dec 10, 2025, 12:04:29 PMCompleted: Dec 10, 2025, 12:05:07 PMpubliccompleted
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Summary

This website contacted 31 IPs in 1 country across 8 domains to perform 162 HTTP transactions. The main domain is cityofstanleyid.gov and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 85%

4
Risk Score

Legitimate government site with a minor risk due to an external malicious link.

Risk Factors
Link to a known suspicious hosting domain (wix.com) from the primary site
Safety Factors
.gov top‑level domain
Established domain age (> 180 days)
Absence of credential‑harvesting or payment forms
Domain age information unavailable

Details

Page Title

City of Stanley Idaho | Sawtooth Mountains | 510 Eva Falls Avenue, Stanley, ID, USA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(53%)

Domain Information

You're looking at domain 'www.cityofstanleyid.gov' on the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The second-level label 'cityofstanleyid' is 15 characters long containing five vowels alongside 10 consonants. It segments into 4 words: city, of, stanley, id. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

15.95s
Total Load Time
162
HTTP Requests
8
Domains
1.3 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:1,059 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service53% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
53%
government
48%
social media network
28%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12108.156.22.93United States
AS16509AMAZON-02
5108.156.22.46United States
AS16509AMAZON-02
534.204.233.250Ashburn, Virginia, United States
AS14618AMAZON-AES
534.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
554.204.83.201Ashburn, Virginia, United States
AS14618AMAZON-AES
5108.156.22.112United States
AS16509AMAZON-02
5151.101.130.217San Francisco, California, United States
AS54113FASTLY
552.2.55.140Ashburn, Virginia, United States
AS14618AMAZON-AES
5108.156.22.36United States
AS16509AMAZON-02
53.83.59.86Ashburn, Virginia, United States
AS14618AMAZON-AES
16231--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19153F835EE2D0C3F750386E9E4B697C67093F508D29D442099EC27B90BDBDBA320765A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ig9I98QCSHt+AgkQdCHeVpeVrVnz90z93Tee7l+XpxXpLfce7l3XpQXpuceg7lkP:bP1m16y7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:65992:Nje9ACFCCAMhgswR2BJDAkIBOBNQBQBIRmyQFAkK2knMQbCACACMyIUiFUCWAoDw4lKdcjwxBe1qWgFKgBSAagSJK5gthkKU

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:fff03000003fbfff
Perceptual Hash:ceccbd911193b332
Difference Hash:d02561e0e1e54f6f
Wavelet Hash:fff020000039bfff
Color Hash:#ac5397

Scan History

Scan history not available

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