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Security Scan Report: abstract-tomato-zv2coxakvq-ge3rhxgj5p.edgeone.app

Submitted: Mar 14, 2026, 7:28:48 AMCompleted: Mar 14, 2026, 7:29:59 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is abstract-tomato-zv2coxakvq-ge3rhxgj5p.edgeone.app and was registered NaN years ago.

Submitted URL: https://abstract-tomato-zv2coxakvq-ge3rhxgj5p.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 malicious activity detected; the site appears to be a simple file collection page.

Safety Factors
No credential or payment fields present
No cross‑origin credential exfiltration observed
Hosted on a known developer hosting platform (edgeone.app)
No redirects or network‑level IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

cryptocurrency blockchain

(81%)

Domain Information

Within the application-focused generic top-level domain (.app), 'abstract-tomato-zv2coxakvq-ge3rhxgj5p.edgeone.app' is registered; it also runs on subdomain 'abstract-tomato-zv2coxakvq-ge3rhxgj5p'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. It segments into two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://abstract-tomato-zv2coxakvq-ge3rhxgj5p.edgeone.app/

Page Load Overview

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

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:8,101 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

cryptocurrency blockchain81% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
81%
technology software
77%
documentation technical
76%
healthcare medical
69%
adult content
61%

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

T16284E141AFF86FECA44E8645972D7B3B7E21604374CE518CB1AD0DB0AF48989E4BB075

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:8t3y3hn0qnJ5HTGQG8fk2kugOzytrBrDdfYxhRt/0W6O2MSS+mYCoOaKKAAiGqe4:8t3y3hn0qnJ5HTGQG8fk2kugOzytrBrO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:400217:US6AgAeUCJXwUTiCpAcKAAiikYEkZIRBHCBGQAipKGOQwRAUEoMQSBkQwwKqJFQWS2SS0gEkViDQgAWLqBEq4aMwDEANFA0Q

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:1c1c1c1c3c1c1c1c
Perceptual Hash:983c3c3c3139c7c7
Difference Hash:b03030383030b030
Wavelet Hash:1c5c7c5c3c3c5c5c
Color Hash:#2d7d86

Other Hashes

Crop Resistant:b03030383030b030

Scan History

Scan history not available

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