Security Scan Report: cityfeet.com

Redirected to: https://www.cityfeet.com/

Submitted: Apr 2, 2026, 4:59:03 PMCompleted: Apr 2, 2026, 5:00:34 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cityfeet.com and was registered NaN years ago.

Submitted URL: https://cityfeet.com

Effective URL: https://www.cityfeet.com/Redirected

The Cisco Umbrella rank of the primary domain is #546,197 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Well‑established domain
No credential or payment collection forms
No malicious Indicators of Compromise
No malware or suspicious scripts detected
No IDS alerts
Domain age information unavailable

Details

Page Title

Access Denied

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

real estate property

(54%)

Domain Information

You're looking at domain 'cityfeet.com' on the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'cityfeet' covers 8 characters holding 3 vowels versus 5 consonants. Breaking it apart gives 2 words: city, feet. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cityfeet.com

Page Load Overview

3.13s
Total Load Time
52
HTTP Requests
24
Domains
1.3 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:2,722 chars
Detector Agreement:75%

Website Classification

Primary Category

real estate property54% confidence
Type: spa
Method: ml+structural

All Detected Categories

real estate property
54%
corporate
35%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5223.197.134.54Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
521--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ECD02B8FE946140BCF021F863DB3F144B5AD787832D567CC9751F44EC706DA5D906610

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwyEr6VPWxxdGztAO+AxFWg/4fBQiXdBOrM4a4dp4fBQiXdLKqz:kxVRpedgR+KzwfZdB/Z4dKfZdLj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:13c7664f0c6590d2180e31adffa298c7

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:3f3fffffffffffff
Perceptual Hash:870707070303fffd
Difference Hash:e0c0000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#5f862d

Other Hashes

Crop Resistant:e0c0000000000000

Scan History

Scan history not available

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