Security Scan Report: disabled-lime-zc702edss0-et7xc7ilnb.edgeone.app

Submitted: Apr 26, 2026, 2:43:36 AMCompleted: Apr 26, 2026, 2:44:46 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is disabled-lime-zc702edss0-et7xc7ilnb.edgeone.app and was registered NaN years ago.

Submitted URL: https://disabled-lime-zc702edss0-et7xc7ilnb.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Low risk site with no malicious activity detected; safe but monitor due to unknown subdomain age.

Risk Factors
Low Cisco Umbrella ranking (#455,732)
Subdomain age unknown (could be newly created)
Safety Factors
No forms or credential fields present
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

government public service

(78%)

Domain Information

The domain 'disabled-lime-zc702edss0-et7xc7ilnb.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'disabled-lime-zc702edss0-et7xc7ilnb'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. It segments into 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://disabled-lime-zc702edss0-et7xc7ilnb.edgeone.app/

Page Load Overview

0.55s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:55 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

government public service78% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
78%
documentation technical
73%
news media journalism
63%
healthcare medical
59%
finance banking
53%

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

T1E102C6CAEB9305C8A82BC0682FFB5724222DE057C449CD5DB99E1F548F0518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBPh1RaXQl:KrzhNK/lMHmGgdkqgd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8709:IIUC1nASBQcQNDUcA02BhCAiSECFLQQBMFAJIQBKiDKwAIEIIMR0wwKYCacCANaBozicVWQ2SEB6BQhBIAIOKGpCOCaWAAFB

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a9838686563c7
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#c58796

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data