Security Scan Report: inner-amber-iobr2molyj-9k7spr0qcl.edgeone.app

Submitted: Mar 1, 2026, 5:32:41 AMCompleted: Mar 1, 2026, 5:33:54 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 inner-amber-iobr2molyj-9k7spr0qcl.edgeone.app and was registered NaN years ago.

Submitted URL: https://inner-amber-iobr2molyj-9k7spr0qcl.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: 92%

0
Risk Score

No malicious indicators; the site appears legitimate and safe.

Safety Factors
No credential or payment collection fields
Hosted on a known platform (edgeone.app) with no malicious signals
No external domains or cross‑origin requests
Page content limited to an image collection name only
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

social media network

(48%)

Domain Information

The domain name 'inner-amber-iobr2molyj-9k7spr0qcl.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'inner-amber-iobr2molyj-9k7spr0qcl'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Breaking it apart gives two 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://inner-amber-iobr2molyj-9k7spr0qcl.edgeone.app/

Page Load Overview

0.57s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:68 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

social media network48% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
48%
finance banking
48%
news media journalism
29%
healthcare medical
27%

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

T1C102C5CAEBA305C8A81BC0682FFF5724222DE057C448CD5DB9AE1F548F4518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBHrLrLh1RaXQl:KrzhNK/lMHmGgdkqQrLrLd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8727:IEUC1nACDQMQNBccCU2whAAiSQGEDQwINVAJCUAKyDqQAIEcAMR0wwKACYcHANaggTicXxA2XEDaBAlBAAIGCDoGOCaWYAEB

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:dcfcfce0e0e0c0c0
Perceptual Hash:d89a983c6c6567c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#87c5b5

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data