Security Scan Report: unpleasant-black-sg8vk3cj0k-hhrluhf3i4.edgeone.app

Submitted: Mar 5, 2026, 11:45:43 AMCompleted: Mar 5, 2026, 11:47:15 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is unpleasant-black-sg8vk3cj0k-hhrluhf3i4.edgeone.app and was registered NaN years ago.

Submitted URL: https://unpleasant-black-sg8vk3cj0k-hhrluhf3i4.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%

1
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches
No credential or payment forms present
No JavaScript malware detected
Hosted on a reputable platform (edgeone.app) without suspicious activity
Content does not claim to be an official brand
Domain age information unavailable

Details

Page Title

For My Dear Sister

Scan Type

public

Language

🇺🇸

English

(43% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'unpleasant-black-sg8vk3cj0k-hhrluhf3i4.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'unpleasant-black-sg8vk3cj0k-hhrluhf3i4'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Segmentation suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unpleasant-black-sg8vk3cj0k-hhrluhf3i4.edgeone.app/

Page Load Overview

0.35s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:ur
Text Length:732 chars
Detector Agreement:100%
Language mismatch: Declared as ur but detected as en

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
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

T1714213F285131415852B67B3269E0B0A29B4E643F307CD29B7FD5649CF82D58AB837B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:xrcBD5dcqeUjG+LT+UHB+MghS5xgw1gUiLeSWvVKQdWR5LR:8D5dcqeUjG+LT+UHB+MghS52w1gUiLeG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12439:gyCT1CkDsBBFAUQksIFQRkmAlJvpIQmhMcmBoRBDSUAFwQgwADKCECM9pSSGgFdwIEC10AkY6wIgIohDjzgBSgIIQAAHqYya

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:183c3c3c3c3c3c18
Perceptual Hash:d1dd22329cdc7721
Difference Hash:f0f0f0f0f0e8f0f0
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#ac538e

Scan History

Scan history not available

Unable to load historical scan data