Security Scan Report: faint-apricot-ycdnt95eyo-83iuk3vbxd.edgeone.app

Submitted: Jan 28, 2026, 1:33:41 PMCompleted: Jan 28, 2026, 1:35:46 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is faint-apricot-ycdnt95eyo-83iuk3vbxd.edgeone.app and was registered NaN years ago.

Submitted URL: https://faint-apricot-ycdnt95eyo-83iuk3vbxd.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 suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>2.5 years)
No credential or payment collection fields
No external links or redirects
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'faint-apricot-ycdnt95eyo-83iuk3vbxd.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'faint-apricot-ycdnt95eyo-83iuk3vbxd'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus three consonants. Segmentation suggests 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://faint-apricot-ycdnt95eyo-83iuk3vbxd.edgeone.app/

Page Load Overview

2.36s
Total Load Time
26
HTTP Requests
11
Domains
959 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1343.152.26.58Singapore
13142.251.141.138Singapore
262--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CCE0EBB246CAB801CC36F0F0B0F0BD0A7627464D7750CB20E8F5723BE00A06B24211F9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxO96v6Oq5Ss/0KZOYElLZHWuK/OSXDmIQT1vrBOqtK7Fcq2SMR/2eKD:kxPvEZ//OpJZ2YSXDmIQxvlO2KBcq2SF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:de520871c4caf6ed9e8451135c83dd4f

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:0000001818000000
Perceptual Hash:991966c6993966ce
Difference Hash:0000083030080000
Wavelet Hash:f1703838f8e0f0f1
Color Hash:#c587ae

Other Hashes

Crop Resistant:0000083030080000

Scan History

Scan history not available

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