Security Scan Report: hondacity.net

Redirected to: https://www.hondacity.net/

Site favicon
Submitted: Jan 30, 2026, 8:38:28 AMCompleted: Jan 30, 2026, 8:39:30 AMpubliccompleted
Loading additional data...

Summary

This website contacted 21 IPs in 3 countries across 25 domains to perform 1 HTTP transaction. The main domain is hondacity.net and was registered NaN years ago.

Submitted URL: https://hondacity.net

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

The Cisco Umbrella rank of the primary domain is #869,380 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate dealership site with no security concerns.

Safety Factors
Established domain age
No suspicious forms or data collection
Brand mention aligns with domain (hondacity.net) and dealership context
No Indicators of Compromise
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by bot_detected bot protection. Our scanner was challenged or blocked during access.

Page Title

Schlossmann Honda City | New Honda and Used Car Dealerships Milwaukee, WI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(70%)

Domain Information

The domain name 'hondacity.net' uses the network infrastructure generic top-level domain (.net) with no subdomain. Its registrable label 'hondacity' stretches across 9 characters split between 3 vowels and 6 consonants. Segmentation suggests two words: honda, city. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hondacity.net

Page Load Overview

13.03s
Total Load Time
216
HTTP Requests
44
Domains
12.0 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:6,894 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical70% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
70%
education learning
51%
government public service
27%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1699.84.152.41Germany
10146.75.122.2Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
103.171.214.45Netherlands
103.174.46.88United States
103.174.46.84Unknown
10142.251.140.168United States
AS15169Google LLC
10199.232.192.247United States
AS54113Fastly, Inc.
102.23.7.10Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
102.23.7.16Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1065.9.175.114UnknownUnknown
21621--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183B4D7A0B08824B57177C2AEB3B1FD152225F603D707CD9AF465397A6EE1DF02893B58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:2QLy3wo/RYQKS22ktRNK/3JH3DwX3eRlgoBHAVta4ZPLbHm321UOsYv8O6yGpC0Z:DoS1S2ntkHkKYt9Hm321UOsYv8O6d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:512772:MBIYUIcaIiYE4YhlSQWs/URBHYBpE2rCVA1kKASS6gQsoBpgESB48zRirhAohEkDIhpxgKmsAEA2EOEsMUAACoAQIpAKen8I

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:ff0300516100f9ff
Perceptual Hash:a924b71bc2da9cc3
Difference Hash:77b6b6b38b32d300
Wavelet Hash:ff0302114900ffff
Color Hash:#c3d279

Scan History

Scan history not available

Unable to load historical scan data