Security Scan Report: nanosketchh-4048decoah.edgeone.app

Submitted: Mar 15, 2026, 4:39:44 PMCompleted: Mar 15, 2026, 4:41:15 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 10 HTTP transactions. The main domain is nanosketchh-4048decoah.edgeone.app and was registered NaN years ago.

Submitted URL: https://nanosketchh-4048decoah.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

No malicious activity detected; site appears benign.

Risk Factors
Subdomain on a hosting platform with unknown creation date (moderate suspicion)
Safety Factors
Hosted on reputable edgeone.app platform
No external domains referenced
No network IDS alerts
No credential or payment collection mechanisms
Domain age information unavailable

Details

Page Title

realistic render with nano banana

Scan Type

public

Language

🇮🇷

FA

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'nanosketchh-4048decoah.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'nanosketchh-4048decoah'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Tokenizing the label suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nanosketchh-4048decoah.edgeone.app/

Page Load Overview

1.22s
Total Load Time
10
HTTP Requests
1
Domains
37 KB
Total Size

Language Analysis

Primary Language

🇮🇷Persian
Code: fa
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:fa
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:fa
Text Length:1,754 chars
Detector Agreement:50%

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
1043.152.26.58Singapore
101--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143122E4612FA11325643856356E23719EBB3ED03C20EDE00BDFC03988F95A938EAB71D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:rncxZDI6wqqCeM1e8qapbKli6ug8KuyuNubNeyJMT3YjnbzsFTgTb4R0Tlm:itrg8DLcG8nbzsZwCO8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9138:5Rs54lHQsMAEEYBSQQQ+BS9DJEYYAQohUCLDJc4CiABgJAxAYycAaIaJSmqGagAEIRZAxCBtGsovUsADoAuBiQAAr4AIAAsM

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:3d3c2e3c3c0d053d
Perceptual Hash:8a5f6e4bdb6c2034
Difference Hash:69e1cdd9d9d9c5d5
Wavelet Hash:3d013f3d3d0d053d
Color Hash:#87c5a5

Other Hashes

Crop Resistant:69e1ccd9d9d9c5d5

Scan History

Scan history not available

Unable to load historical scan data