Security Scan Report: snowvilletown.gov

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Submitted: Dec 14, 2025, 4:53:14 PMCompleted: Dec 14, 2025, 4:53:47 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 5 domains to perform 46 HTTP transactions. The main domain is snowvilletown.gov and was registered NaN years ago.

Submitted URL: https://snowvilletown.gov/

AI Security Verdict

Low Risk

Confidence: 92%

1
Risk Score

Site shows no malicious activity; low risk due to new, unranked domain.

Safety Factors
Official .gov top‑level domain
Content appears to be a legitimate municipal site
No credential‑harvesting or payment collection elements
Domain age information unavailable

Details

Page Title

Snowville Town

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'snowvilletown.gov' is registered without a subdomain. The registrable portion 'snowvilletown' spans 13 characters containing 4 vowels alongside 9 consonants. Tokenizing the label suggests three words: snow, ville, town. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

7.00s
Total Load Time
46
HTTP Requests
5
Domains
972 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:874 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6188.114.96.3United States
AS13335CLOUDFLARENET
4142.250.185.110United States
AS15169GOOGLE
4142.250.185.99United States
AS15169GOOGLE
4164.92.67.10Santa Clara, California, United States
AS14061DIGITALOCEAN-ASN
4142.250.185.227United States
AS15169GOOGLE
4188.114.97.3United States
AS13335CLOUDFLARENET
42a00:1450:4001:80f::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
42a06:98c1:3121::3United States
AS13335CLOUDFLARENET
42a00:1450:4001:812::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
42a00:1450:4001:80c::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
4611--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13673C7A177B408F5397F837B9D45A2189127E902C60977E5F0F2D194A09CFB626E3B0B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:CUclkm5ypn80diDkzZobXemlUVuXwamfbPM0a4nWlemGPwU0NOU:CUclkm0zdiDkzZobXemlUVugamfbPM0S

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76871:BERVBnsCHCGGCDkQrLgahWASUTBsCFgqGIsABiRlKFEkEIMQgUDCkCYCI+hCHMYKga21CIECxAGJOAx2BoDSDlF2ANh1tQjB

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:000024e4ffffe7c7
Perceptual Hash:f34f748d6033cc64
Difference Hash:48d0ccccc0f0cc94
Wavelet Hash:00002064ffffe7e7
Color Hash:#ac5380

Scan History

Scan history not available

Unable to load historical scan data