Security Scan Report: difficult-emerald-lktxopqdsc-of2m1fxfa4.edgeone.app

Submitted: Apr 9, 2026, 12:50:36 AMCompleted: Apr 9, 2026, 12:51:46 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 difficult-emerald-lktxopqdsc-of2m1fxfa4.edgeone.app and was registered NaN years ago.

Submitted URL: https://difficult-emerald-lktxopqdsc-of2m1fxfa4.edgeone.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Site harvests credentials via JavaScript and impersonates social media brands; confirmed phishing scam.

Risk Factors
Credential exfiltration via JavaScript
Brand impersonation of major social‑media services
New subdomain on a free hosting platform
Low domain reputation and moderate ranking
Absence of legitimate content (page could not be fetched)
Domain age information unavailable

Details

Page Title

MERCY LOGS

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(95%)

Domain Information

Within the application-focused generic top-level domain (.app), 'difficult-emerald-lktxopqdsc-of2m1fxfa4.edgeone.app' is registered, featuring subdomain 'difficult-emerald-lktxopqdsc-of2m1fxfa4'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. It segments into two 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://difficult-emerald-lktxopqdsc-of2m1fxfa4.edgeone.app/

Page Load Overview

0.40s
Total Load Time
2
HTTP Requests
1
Domains
4 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:374 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network95% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
95%
entertainment media
63%
technology software
61%

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

T1FCB195C7A5F702021557F4F56FB75B0A75A0C017D80ECD943A9C62DC4FC6A8A99B368C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TjBl1ICI9mUFKwAkkBT6i22tvZB7HafE79i/D9i2VKmi2LKHX1:2791FK5rBxZBx069i79i2VRiAy1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5320:AgAzEQAABEEAkhDcgoAQQAJEAQhMgCICAAkkbZAKCIQICAOmEUwAQAAQJiBhBAJIAgSCgeAhlgQBAAAAACqDULABMAUBJYgA

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:183cdbff00000001
Perceptual Hash:88dd0a55aa772a75
Difference Hash:3070b2aa55010003
Wavelet Hash:18fcffff00000303
Color Hash:#407fbf

Other Hashes

Crop Resistant:3070b2aa55010003

Scan History

Scan history not available

Unable to load historical scan data