Security Scan Report: ashlandbayfield911wi.gov

Submitted: Oct 26, 2025, 6:14:38 PMCompleted: Oct 26, 2025, 6:16:17 PMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 4 domains to perform 8 HTTP transactions. The main domain is ashlandbayfield911wi.gov and was registered NaN years ago.

Submitted URL: https://ashlandbayfield911wi.gov/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

ashlandbayfield911wi.gov

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

government

(95%)

Domain Information

The domain 'ashlandbayfield911wi.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The second-level label 'ashlandbayfield911wi' is 20 characters long split between 6 vowels and 11 consonants, plus three digits. Segmentation suggests five words: ashland, bay, field, 911, wi. Average segment length settles at three characters. 'ashland' is most common in Vietnamese usage. Usage also turns up in Chinese (Pinyin) and English contexts.

Screenshot

Security scan screenshot of https://ashlandbayfield911wi.gov/

Page Load Overview

30.17s
Total Load Time
8
HTTP Requests
4
Domains
2 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
Detector Agreement:0%

Website Classification

Primary Category

government95% confidence
Type: static
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.185.98United States
AS15169GOOGLE
1142.250.185.206United States
AS15169GOOGLE
1208.91.197.27British Virgin Islands
AS40034CONFLUENCE-NETWORK-INC
164.190.63.136Germany
AS47846SEDO GmbH
1216.58.206.34United States
AS15169GOOGLE
12a00:1450:4001:811::2002Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
12a00:1450:4001:80e::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
87--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C231F402FC77C594F58146608CA3BD081656EC26A916DC937FCC94255F857CBCDA71DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kBjMNw29t/c2N8jupnmXR1VvPi/Ng+OdLa2dL5bJntdLx6NU1dLa2dL04:yMKxO8jupmBPK/NgZ82Dj6NU182d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1605:EYCAQAgAIAEAQAgAIAQCAAAACgAgIAAAEAAIAAAAAAAAAAAAAABAAmAAEADAAEAAAAACAAAAEAIAAYEQYAACAogQAEAIBgAA

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:00ffffdb5a180000
Perceptual Hash:e4e4461b1b1e1b3b
Difference Hash:b2969696b2b2b204
Wavelet Hash:10ffffdf5a181800
Color Hash:#2d7d86

Other Hashes

Crop Resistant:b2969696b2b2b204

Scan History

Scan history not available

Unable to load historical scan data