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Security Scan Report: vicarious-tomato-pezvkytxik-hh0zbb32os.edgeone.app

Submitted: Mar 14, 2026, 3:45:26 PMCompleted: Mar 14, 2026, 3:46:54 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 vicarious-tomato-pezvkytxik-hh0zbb32os.edgeone.app and was registered NaN years ago.

Submitted URL: https://vicarious-tomato-pezvkytxik-hh0zbb32os.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: 75%

2
Risk Score

Low‑risk page containing emotional text; no malicious behavior or data collection detected.

Risk Factors
New subdomain on free hosting platform with unknown creation date
Safety Factors
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware
No external domains
Content does not request personal information
Domain age information unavailable

Details

Page Title

I'm Sorry

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'vicarious-tomato-pezvkytxik-hh0zbb32os.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'vicarious-tomato-pezvkytxik-hh0zbb32os'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vicarious-tomato-pezvkytxik-hh0zbb32os.edgeone.app/

Page Load Overview

0.35s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:244 chars
Detector Agreement:100%

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
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

T1EB51B6AB52450F1152B2297134EBABCF3898C01BC50735C950AFD0ADD2D896F942E76D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:EMgqRpv5vxb2mZXY/JGGD/849SBjv00D7p10PIlW5hOgb:DtBvO/JGD49SdM+MIlhgb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2523:AQAAIAQQABASAECUAgAkIAgCLgECAAKEIAQAAAAAIAAEgEAIAAAQAAIAAAggAIAAQAAAAAAAAIMAAEAIIAAgJACACAAACEAQ

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:03071f07271f1f3f
Perceptual Hash:a25999266699cc77
Difference Hash:ffffebefefefdfff
Wavelet Hash:03031f1f071f1f1f
Color Hash:#e0c56c

Other Hashes

Crop Resistant:ffffebefefefdfff

Scan History

Scan history not available

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