Security Scan Report: technological-moccasin-jyrditzlmm-tt8c1vcscu.edgeone.app

Submitted: Mar 1, 2026, 12:43:16 AMCompleted: Mar 1, 2026, 12:44:36 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is technological-moccasin-jyrditzlmm-tt8c1vcscu.edgeone.app and was registered NaN years ago.

Submitted URL: https://technological-moccasin-jyrditzlmm-tt8c1vcscu.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: 92%

0
Risk Score

No suspicious activity detected; the site appears benign.

Safety Factors
Hosted on a standard freeโ€‘hosting platform (edgeone.app)
No credential or payment collection forms
No suspicious JavaScript behavior or network alerts
Low ranking but no malicious activity observed
Domain age information unavailable

Details

Page Title

For Maanya ๐Ÿ’–

Scan Type

public

Language

๐Ÿ‡บ๐Ÿ‡ธ

English

(80% confidence)

Category

adult content

(37%)

Domain Information

The domain 'technological-moccasin-jyrditzlmm-tt8c1vcscu.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'technological-moccasin-jyrditzlmm-tt8c1vcscu'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Splitting it apart reveals 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://technological-moccasin-jyrditzlmm-tt8c1vcscu.edgeone.app/

Page Load Overview

0.40s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

๐Ÿ‡บ๐Ÿ‡ธEnglish
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:241 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content37% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
37%

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

T10BC14263C1431823B24F4696326B4B1134B04747EE5BA938367F7259EFC3DA25B127A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T+mgDoQYpFhCtDPHojIlVLGIOlyqB8K1yr6rJWdyfDllwdUcHmEmTYJfkems:6PoQYpFhCtDPHojJbyqB8K1yeJgyfDlk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5999:EAZIQIAABkBBgBToJAIgCARAANMGkECAhAQgAlCe4LAYgwAGMQABNCTAEWdYZEAGogJBAISRAyCMlIQAAAwAggBBGEhkQFgA

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:f0e0e0c1d9830303
Perceptual Hash:e9d287cc39639a89
Difference Hash:0000010b13070707
Wavelet Hash:f8f0e8c1d983c3c3
Color Hash:#79a1d2

Other Hashes

Crop Resistant:0000010b13070707

Scan History

Scan history not available

Unable to load historical scan data