Security Scan Report: sweet-silver-mo9xw9fsbw-1iu1kfvf16.edgeone.app

Submitted: Feb 22, 2026, 8:40:57 AMCompleted: Feb 22, 2026, 8:42:21 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is sweet-silver-mo9xw9fsbw-1iu1kfvf16.edgeone.app and was registered NaN years ago.

Submitted URL: https://sweet-silver-mo9xw9fsbw-1iu1kfvf16.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
No malicious Indicators of Compromise
No credential or payment collection forms
Low JavaScript obfuscation (standard minification)
Legitimate cross‑origin API call
Hosting on a reputable platform without signs of abuse
Domain age information unavailable

Details

Page Title

sweet-silver-mo9xw9fsbw-1iu1kfvf16.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

forum community discussion

(46%)

Domain Information

The domain 'sweet-silver-mo9xw9fsbw-1iu1kfvf16.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'sweet-silver-mo9xw9fsbw-1iu1kfvf16'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Segmentation suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sweet-silver-mo9xw9fsbw-1iu1kfvf16.edgeone.app/

Page Load Overview

0.70s
Total Load Time
2
HTTP Requests
1
Domains
8 KB
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:104 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion46% confidence
Type: static
Method: ml+structural

All Detected Categories

forum community discussion
46%
social media network
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T153048F773296063986558498F05B43099F20B143F50AC9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:afQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszu2bMy8Old+:hhoC9JSqzzbs6o3Sj3gcrsa2eAU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184621:0Eol4CAmRYERFAOYFiAFeVA0wFBwo0UyAjAg4lCpY4RSUZCmTYB9CIoBKAKauCiAGGACrGgOeOCEysQFyI4CIaoGIC1JBnqw

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:fcdcc0c4f0f0f0f0
Color Hash:#40bf46

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data