Security Scan Report: initial-apricot-rvrsrw4a30-p7mv2p4l1x.edgeone.app

Submitted: Mar 9, 2026, 1:14:40 AMCompleted: Mar 9, 2026, 1:16:18 AMpubliccompleted
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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 initial-apricot-rvrsrw4a30-p7mv2p4l1x.edgeone.app and was registered NaN years ago.

Submitted URL: https://initial-apricot-rvrsrw4a30-p7mv2p4l1x.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: 82%

3
Risk Score

No malicious indicators; low risk despite unknown subdomain age on edgeone.app.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Hosted on a reputable edgeone.app platform
No cross‑origin credential exfiltration detected
No brand impersonation or phishing content
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

You're looking at domain 'initial-apricot-rvrsrw4a30-p7mv2p4l1x.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'initial-apricot-rvrsrw4a30-p7mv2p4l1x'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://initial-apricot-rvrsrw4a30-p7mv2p4l1x.edgeone.app/

Page Load Overview

8.16s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:843 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
documentation technical
38%
adult content
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11202C5CAEBA305C9A82BC0686FFF5724232DE053D448CD5DB9AE0F548F0518875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBch1RaXQl:KrzhNK/lMHmGgdkqfd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8757:aQ0C1nACBUsSNBU8QU2AzAAiSACEDVRAsFAJCAUGyDKVBIEIAMR0wwKCCYcCgt6okzicVSAnyFJaBAhBIAKWDCoCOKaWAJEB

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:da9a983c6c6563c3
Difference Hash:3038500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#ced279

Other Hashes

Crop Resistant:3038500000000000

Scan History

Scan history not available

Unable to load historical scan data