Security Scan Report: awsapi.floatingislandapps.com

Submitted: Feb 1, 2026, 7:16:22 PMCompleted: Feb 1, 2026, 7:17:40 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is awsapi.floatingislandapps.com and was registered NaN years ago.

Submitted URL: https://awsapi.floatingislandapps.com

The Cisco Umbrella rank of the primary domain is #218,060 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well‑established domain (>4 years old)
No malicious Indicators of Compromise matches
No credential or payment collection forms
No suspicious redirects or external links
Standard hosting with no noindex tags
Domain age information unavailable

Details

Page Title

浮岛科技

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'awsapi.floatingislandapps.com' is registered and includes subdomain 'awsapi'. Count 18 characters in 'floatingislandapps' holding 6 vowels versus twelve consonants. Tokenizing the label suggests 3 words: floating, island, apps. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://awsapi.floatingislandapps.com

Page Load Overview

3.57s
Total Load Time
3
HTTP Requests
1
Domains
488 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
Text Length:123 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
3163.181.58.174Germany
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193111C2304E21002C002B224E9B162245C81864AE657EA3173AE02BFBFDA52AF6E31CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hakspxe35yAGWL952C8dXK9W5jZpPRRa4Jj:8p3yPX8VZtpdZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:946:AAAAAAAgAgAAAAAAAAAEAAAIAAAAAAgAAAAAAAAgAAAAAAAEAAgAAAAAAAAAgRCAAAAQAAAASAAAAAAAQACAAAAAAAgAEAAA

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:ffffc3e7efe7e7c3
Perceptual Hash:f7992683996631cc
Difference Hash:280f0f0f0b4d4d0f
Wavelet Hash:ffe7838381a5a181
Color Hash:#9d40bf

Other Hashes

Scan History

Scan history not available

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