Security Scan Report: api.floors.dev

Submitted: Nov 25, 2025, 2:55:14 PMCompleted: Nov 25, 2025, 2:58:04 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 api.floors.dev and was registered NaN years ago.

Submitted URL: https://api.floors.dev/

The Cisco Umbrella rank of the primary domain is #5,369 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected security concerns.

Safety Factors
Well-established domain age
High Cisco Umbrella ranking
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Static content with only informational link
Domain age information unavailable

Details

Page Title

Freestar Floors

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

unknown

(0%)

Domain Information

The domain 'api.floors.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'api'. Its registrable label 'floors' stretches across 6 characters holding two vowels versus four consonants. Tokenizing the label suggests one word: floors. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api.floors.dev/

Page Load Overview

0.16s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:71%
Script Type:Latin
Text Length:68 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
234.160.128.112Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A1C08CE78095929EEEBA6BC018C533E41DC6802001DCEE8D598ACC6451002E9DB020AB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxgROHAEXgoQ1Xbvx9QXyBsd4MKLFVrWtDycSLLxrSxyEZcKBcz:qzxUaBVQ1XLx6XbGMKTDjLNrSxf+Kqz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:7603eaa70e39c66214d6f9187f47f6ef

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:3fffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#bf4062

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

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