Security Scan Report: stingy-red-1jtwhgtjti-gtm0dtu8ow.edgeone.app

Submitted: Mar 16, 2026, 6:50:40 AMCompleted: Mar 16, 2026, 6:52:10 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is stingy-red-1jtwhgtjti-gtm0dtu8ow.edgeone.app and was registered NaN years ago.

Submitted URL: https://stingy-red-1jtwhgtjti-gtm0dtu8ow.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 80%

4
Risk Score

No malicious activity detected, but the newly created subdomain on a free hosting service warrants caution.

Risk Factors
Subdomain on a free hosting platform with unknown creation date
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware detected
No redirects or external domains
Standard hosting platform (edgeone.app) with no known abuse
Domain age information unavailable

Details

Page Title

Sorry Raisa · floating friends

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(48%)

Domain Information

Domain 'stingy-red-1jtwhgtjti-gtm0dtu8ow.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'stingy-red-1jtwhgtjti-gtm0dtu8ow'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Breaking it apart gives 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://stingy-red-1jtwhgtjti-gtm0dtu8ow.edgeone.app/

Page Load Overview

0.36s
Total Load Time
2
HTTP Requests
1
Domains
6 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:93 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content48% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
48%
healthcare medical
46%
news media journalism
35%
social media network
32%
government public service
29%

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

T17FD1220DA6A3044624478164FFF90E49552896C7D68FCD1077AE0682BF82DAABEC73CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TwF/cnGkwlw8jQciGfsKYAlDAA164PEFiOSpkWyJTCyrR3:8dBi8sciGfsKYAlDL64PENSpkWyJLR3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6491:CRIYE4BQRsAjYgkBEJGHKIADIiSbgFAiEEIgBSgLgQYJQAUqSFYyBMIMPCKAAICIYAoeBQIKgBIOMAkAowyACcQyiiwyE1EE

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:fffff7e7a5c3c3ff
Perceptual Hash:b397ccc83362cccc
Difference Hash:82b24d4d4d0c9768
Wavelet Hash:6336fc27e542510f
Color Hash:#a8c587

Other Hashes

Crop Resistant:82b24d4d4d0c9768

Scan History

Scan history not available

Unable to load historical scan data