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Security Scan Report: innocent-olive-nskm7ofuj1-vjt6tm6bz2.edgeone.app

Submitted: Mar 28, 2026, 8:55:18 PMCompleted: Mar 28, 2026, 8:56:26 PMpubliccompleted
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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 innocent-olive-nskm7ofuj1-vjt6tm6bz2.edgeone.app and was registered NaN years ago.

Submitted URL: https://innocent-olive-nskm7ofuj1-vjt6tm6bz2.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No malicious activity detected; the site appears benign.

Safety Factors
No credential or payment forms present
No external domains referenced
No cross‑origin credential exfiltration observed
Low JavaScript obfuscation, no malicious patterns
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(29% confidence)

Category

documentation technical

(67%)

Domain Information

You're looking at domain 'innocent-olive-nskm7ofuj1-vjt6tm6bz2.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'innocent-olive-nskm7ofuj1-vjt6tm6bz2'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Splitting it apart reveals two 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://innocent-olive-nskm7ofuj1-vjt6tm6bz2.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:89 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical67% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
67%
technology software
65%
healthcare medical
48%
news media journalism
38%
government public service
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13812D7CAEBE706C8681BC4682FFF5725222DE053C449C95DB9AE0F648F0518475FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBBhYh1RaXQl:KrzhNK/lMHmGgdkqU+d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9642:IBUi1nQSJSNQPRUWA02AhACiDACETQRAMFAJIAAiyTEQAIEIIMQ04wKCGY8CQc6AozicVwImTEV6BIzJIEIOqCoKPC6WAAEB

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a986c6c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#5387ac

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

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