Security Scan Report: everyday-lime-duieclckxj-79sb2w1wjf.edgeone.app

Submitted: Mar 11, 2026, 1:11:09 PMCompleted: Mar 11, 2026, 1:12:20 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is everyday-lime-duieclckxj-79sb2w1wjf.edgeone.app and was registered NaN years ago.

Submitted URL: https://everyday-lime-duieclckxj-79sb2w1wjf.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

High‑risk phishing login page likely harvesting student credentials.

Risk Factors
Credential collection form on an unknown‑age subdomain
Hosting platform subdomain with generic random name
Lack of any brand or institutional context
Domain age information unavailable

Details

Page Title

Student Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(48%)

Domain Information

Domain 'everyday-lime-duieclckxj-79sb2w1wjf.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'everyday-lime-duieclckxj-79sb2w1wjf'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. It segments into 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://everyday-lime-duieclckxj-79sb2w1wjf.edgeone.app/

Page Load Overview

1.55s
Total Load Time
3
HTTP Requests
2
Domains
2 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:247 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
1192.163.208.117United States
AS46606Unified Layer
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D1B1472321A40405B18BE4A479B28B0E3165C607D70BD978B9EC57E4CF8EE8745F73AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TyALYTE+xGuOhJDHzgKW84Uvf29PsFUIc53YJ6NgtG0qb:GALYTE+xGuOhJvg/84Uvf290Fjc3YJgB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5178:EAhBJAABiAIISAbpigFTRAhmWIQEAEArhBIiAACQAEAIQLIAwAARoACXRUAWXEAbgIkUIgGKhCIQgkkAAAhBANAo2BQBhooE

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:183c3c243c3c0242
Perceptual Hash:d7d930ce66768831
Difference Hash:3032324c68684c0c
Wavelet Hash:38383a223e3e0602
Color Hash:#3a4378

Other Hashes

Crop Resistant:3032324c68684c0c

Scan History

Scan history not available

Unable to load historical scan data