Security Scan Report: hsfff-ls10ea8jyy.edgeone.app

Submitted: Mar 28, 2026, 11:18:58 PMCompleted: Mar 28, 2026, 11:20:05 PMpubliccompleted
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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 hsfff-ls10ea8jyy.edgeone.app and was registered NaN years ago.

Submitted URL: https://hsfff-ls10ea8jyy.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: 75%

4
Risk Score

New subdomain with social‑media follow prompt; no malicious code but moderate suspicion due to age and social engineering.

Risk Factors
New subdomain on a free hosting platform with unknown age
Social‑engineering content encouraging users to follow social media accounts
Unranked domain (not in Cisco Umbrella top 1 M)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches found
No JavaScript malware patterns detected
No external domains referenced
Served over HTTPS
Domain age information unavailable

Details

Page Title

Unlock Link

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

social media network

(98%)

Domain Information

The domain name 'hsfff-ls10ea8jyy.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'hsfff-ls10ea8jyy'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. Segmentation suggests 2 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://hsfff-ls10ea8jyy.edgeone.app/

Page Load Overview

0.67s
Total Load Time
2
HTTP Requests
1
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:163 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network98% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
98%
entertainment media
93%

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

T15122B6D651F7453DE497818C9BBBAB18232EC483F14AE0A97D8D4A049F46AD4F0A26DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:uyVTPwX6dWBv4c5+SY4z5zJHGwy+Gwyl3iSaBC:ktJmnDnlXWC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10229:F0IQuSGoZWtIIgyk0ms4xGIAHxgGRkgQUsBEkgAIjBEAKGCxNHITaSSOopDBCQEAYBUVqzBhAgqEIHKHVh7X0GYYgKHSYACB

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:0000181818180000
Perceptual Hash:cc3133cecc3399cc
Difference Hash:0010303232320800
Wavelet Hash:00003c3c3c3c3030
Color Hash:#88ac53

Other Hashes

Crop Resistant:0010303232320800

Scan History

Scan history not available

Unable to load historical scan data