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LIMITED DATA

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Security Scan Report: amador-city.com

Submitted: Dec 17, 2025, 1:01:16 PMCompleted: Dec 17, 2025, 1:03:07 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is amador-city.com and was registered NaN years ago.

Submitted URL: https://amador-city.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of suspicious forms or data collection
No external malicious links
No Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Amador City | California Gold Country | Amador Restaurants, Hotel, Shops

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

Within the commercial generic top-level domain (.com), 'amador-city.com' is registered without a subdomain. The core label 'amador-city' covers 11 characters with 4 vowels and six consonants, notching one hyphen. Splitting it apart reveals two words: amador, city. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://amador-city.com/

Page Load Overview

30.17s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:741 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
61%
adult content
54%
government public service
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
366.165.233.66New York, New York, United States
AS29802HVC-AS
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T157A3D9B2A0480037912B2BCDD155BB2CF0B7C778EB4386D175FF52597ACAEA6856231C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:W601lmY/uPFTLKYOeHLg/3S1/xxiYOeHLg/3S1/xACyMrbByTiyhD2YU:W60pmxKYOeHs/3S1/xxiYOeHs/3S1/xF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:105273:gQOCMqQjDLECNQKBpnBoNYCS4EjBCQAIqAALJYNEEBtrRQHQwuBMSKIhTMgils5VAIQshQEGYyIDAAFMB1hKBG4EAElLkEIA

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:ff000cf8704000ff
Perceptual Hash:c11fb660cd9bb0a5
Difference Hash:cec47871d397cbc2
Wavelet Hash:ff000efcf04050ff
Color Hash:#931f3e

Scan History

Scan history not available

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