Security Scan Report: shrill-tomato-hpkhdelml9-vfpfiju2dv.edgeone.app

Submitted: Mar 14, 2026, 10:07:08 PMCompleted: Mar 14, 2026, 10:08:45 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is shrill-tomato-hpkhdelml9-vfpfiju2dv.edgeone.app and was registered NaN years ago.

Submitted URL: https://shrill-tomato-hpkhdelml9-vfpfiju2dv.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: 88%

2
Risk Score

No malicious activity detected; site appears safe but is a newly created subdomain on a free hosting platform.

Safety Factors
Hosted on a known free hosting platform (edgeone.app)
No credential or payment collection fields
No JavaScript malware patterns detected
No cross‑origin credential exfiltration observed
No brand impersonation or phishing language present
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(57% confidence)

Category

documentation technical

(82%)

Domain Information

You're looking at domain 'shrill-tomato-hpkhdelml9-vfpfiju2dv.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'shrill-tomato-hpkhdelml9-vfpfiju2dv'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 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://shrill-tomato-hpkhdelml9-vfpfiju2dv.edgeone.app/

Page Load Overview

0.44s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:57%
Script Type:Latin
Text Length:1,493 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical82% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
82%
technology software
76%
education learning
26%

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

T1F7610F7915F22E6F419382276D586D5B3638D463D50F7EA1D2E827C92FC6C94884724C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:O/sb8JoOg8Sn/xMI+1eWcfAg18LXR9m+4Re9+:lbK/AkcfA5TR9F4A+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3421:IAAhABCLAQAAIQoEAAGEYAAIAUAAIU4gAAEQOABFAAAMACBAAEQQBhKAgBAERAYAMACAUKCAgEAIAgAgEgEEACAQAQAAiOEA

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:3f7f300f3f7f7f00
Perceptual Hash:809c0efd3f3c0e0f
Difference Hash:a0c0e098d8c0c0c0
Wavelet Hash:3e7e000e7e7e7e00
Color Hash:#c487c5

Other Hashes

Crop Resistant:a0c0e098d8c0c0c0

Scan History

Scan history not available

Unable to load historical scan data