Security Scan Report: close-lime-yqgg0ecktc-nsv89sygqx.edgeone.app

Submitted: Mar 29, 2026, 1:04:10 PMCompleted: Mar 29, 2026, 1:05:28 PMpubliccompleted
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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 close-lime-yqgg0ecktc-nsv89sygqx.edgeone.app and was registered NaN years ago.

Submitted URL: https://close-lime-yqgg0ecktc-nsv89sygqx.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%

9
Risk Score

Phishing page mimicking Google login on a brand‑new edgeone.app subdomain; avoid and report.

Risk Factors
Brand impersonation of Google on unrelated domain
New subdomain (<7 days old) with credential collection form
Low domain reputation/ranking for a major brand
Hosted on free platform (edgeone.app) with random subdomain
Absence of legitimate content; page appears solely as login
Domain age information unavailable

Details

Page Title

כניסה - חשבונות Google

Scan Type

public

Language

🇮🇱

HE

(80% confidence)

Category

social media network

(82%)

Domain Information

You're looking at domain 'close-lime-yqgg0ecktc-nsv89sygqx.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'close-lime-yqgg0ecktc-nsv89sygqx'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. It segments into 2 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://close-lime-yqgg0ecktc-nsv89sygqx.edgeone.app/

Page Load Overview

0.54s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇮🇱Hebrew
Code: he
Confidence:80%
Script:Hebrew
Direction:rtl

Detection Details

Language Code:he
Detection Confidence:80%
Script Type:Hebrew
HTML Lang Attribute:he
Text Length:127 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network82% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
82%
cryptocurrency blockchain
57%
gambling betting
54%
e-commerce shopping
53%
healthcare medical
52%

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

T1E8A151E272E704121223A1E33E92D7043A218513E445E4A4FBAC4658EFCEE80A8F37D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:y0MCRz+y+6BOkBHkQz5+SWEJEqd7HVHAGXg8bIJ/Bav8MYcHn:y0MIzv+6BOkBHz5+SBJDdDaqg8op28TE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5016:AQkAxSKLQAAEBkACRSAIoqGCQAAINAAAAAUQIgpEAQAQCAYAAUSkKEAQDKLQEmSCxAACIAAGoEsQAYoDFoEIBAfABJIAAEQD

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:00003c3c1c081000
Perceptual Hash:99ce6631ccc699cc
Difference Hash:0000322232122400
Wavelet Hash:3c3c18181b0b3f3f
Color Hash:#a7c587

Other Hashes

Crop Resistant:0000322232122400

Scan History

Scan history not available

Unable to load historical scan data