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Security Scan Report: supranet.net

Redirected to:
https://www.supranet.net/
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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/19520560-9c44-494c-bf62-66ef318546dbDomain and IP registration (RDAP)/api/v1/rdap/19520560-9c44-494c-bf62-66ef318546dbHow often this domain was scanned/api/v1/domain/stats/supranet.netScan history for this domain/api/v1/domain/history/supranet.net?limit=15
This website contacted 6 IPs in 1 country across 6 domains to perform 52 HTTP transactions. The main domain is supranet.net and was registered 32 years ago.

Submitted URL: https://supranet.net

Effective URL:
https://www.supranet.net/
Redirected

The Cisco Umbrella rank of the primary domain is #603,349 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors (3)
Well‑established domain with long registration history
No malicious Indicators of Compromise detected
No sensitive data collection forms present
Domain age information unavailable

Details

Page Title

SupraNet | Fiber Internet, Bulk Internet, Hybrid Cloud | Madison, WI

Scan Type

public

Domain Name Analysis

You're looking at domain 'supranet.net' on the network infrastructure generic top-level domain (.net) and has no subdomain. The registrable portion 'supranet' spans 8 characters with three vowels and 5 consonants. Tokenizing the label suggests two words: supra, net. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

‘TALK TO A HUMAN NOW! 608.836.0282 ws superar Home Services AboutUs Community Education and News Contact Q ys « Let your team plug in “2 and get to work. o Pax ae Check if your office building is...

Page Load Overview

8.83s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:5,713 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
43%
corporate business
37%
documentation technical
34%
government public service
33%
adult content
31%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1266.170.8.50Madison, Wisconsin, United States
AS4150SUPRANET-WIS
8142.250.184.234United States
AS15169GOOGLE
8216.58.206.72United States
AS15169GOOGLE
8142.250.186.131United States
AS15169GOOGLE
8216.239.32.36United StatesUnknown
8216.239.34.36United States
AS15169GOOGLE
526--

Detected Technologies10

WordPressv6.9
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Google-AnalyticsvUniversal
100%
PHP
50%
MySQL
50%
Ubuntu
40%
HSTS
40%
Google Analytics
35%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158B3F673E11A0136226B43DD70796744A156C239DE52DBF4B2FCE21AD7E3CB252B622C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9872DmmD4e/i6qyPzQcNPZckV6PmEfcTUKqL:98+t66qyPzQcNPZckV6PmEfcTUx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:107640:QNs1M7MARrIihRDSAAwaAkAUJaHs1BjAZBExMKI7RATABCSIJAQRABAIhFSBFMGRvAYBE0AbCaiu6gLCpQxkBAolhAcYcgSA

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:ffff0000000000ff
Perceptual Hash:ba86f14bc45ba156
Difference Hash:c0fd3f2325111916
Wavelet Hash:ffff9f11000000ff
Color Hash:N/A

Other Hashes

Crop Resistant:c0fd3f2325111916,c2d2e6d8dbe2c2f2,7e7e332226101a3a

Scan History

Scan history not available

Unable to load historical scan data