Security Scan Report: florideclome.sbs

Submitted: Apr 14, 2026, 9:00:50 AMCompleted: Apr 14, 2026, 9:02:36 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is florideclome.sbs and was registered NaN years ago.

Submitted URL: https://florideclome.sbs/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

florideclome.sbs

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

technology software

(69%)

Domain Information

You're looking at domain 'florideclome.sbs' on the .sbs top-level domain and has no subdomain. The registrable portion 'florideclome' spans 12 characters split between five vowels and 7 consonants. Segmentation suggests four words: flor, i, declo, me. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://florideclome.sbs/

Page Load Overview

0.15s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:68%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:68%
Script Type:Latin
Text Length:88 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
56%
cryptocurrency blockchain
46%
phishing scam
44%
news media journalism
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.235.163.219Amsterdam, North Holland, Netherlands
AS63949Akamai Connected Cloud
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C4048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:SfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszG2bMy8OldW:JhoC9JSqzzbs6o3Sj3gcrsS2eAk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184471:BnkhAgHkQySAAgwMZAS1IYY5VJAaUgW9AWNLI/UrORACBAUQUHADKICAESbiwCdgwKqABAREEAzyAgQKyIZIERGYmMgiK0YO

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:ffcfc3cfffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:3f1f030f00000000
Color Hash:#3d3a78

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

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