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Security Scan Report: furious-violet-yie7jhd27m-55m8g7fmyb.edgeone.app

Submitted: Mar 26, 2026, 7:14:18 PMCompleted: Mar 26, 2026, 7:15:42 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 furious-violet-yie7jhd27m-55m8g7fmyb.edgeone.app and was registered NaN years ago.

Submitted URL: https://furious-violet-yie7jhd27m-55m8g7fmyb.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

No malicious activity observed, but the new subdomain on a free hosting service warrants caution.

Risk Factors
Subdomain on free hosting platform (edgeone.app) with unknown creation date
Low Cisco Umbrella ranking (455,732) suggests limited trust
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
JavaScript behavior appears benign (low obfuscation, no credential exfiltration)
No cross‑origin credential submissions
Domain age information unavailable

Details

Page Title

AWPL Team Diary

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(66%)

Domain Information

You're looking at domain 'furious-violet-yie7jhd27m-55m8g7fmyb.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'furious-violet-yie7jhd27m-55m8g7fmyb'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Tokenizing the label 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://furious-violet-yie7jhd27m-55m8g7fmyb.edgeone.app/

Page Load Overview

0.33s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
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:89 chars
Detector Agreement:50%

Website Classification

Primary Category

finance banking66% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
66%
government public service
62%
news media journalism
44%
technology software
32%
healthcare medical
29%

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

T16271335F32C71CA480B7B1BA5566CF043830C20B9946D861792D65D96FD0E96E0FF7C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TPNFUnqdsyWmg5A8ddOxOlBsv4wU8Xg8Jm1dI09i/nUFA1WkkDkmKBkVkkvyuk26:TPNFUEW75MIsAGnS+5fm1fw5OAiMpcy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3756:ISCBAggAGggGAkDAABJAACBIAAICBBGREIBhIAKAF8BgQoGABiABQAAAAABBEUisgIAGASKCAEBABAEQBCAQBADgAAEMgEAA

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:243c3c3c00000000
Perceptual Hash:92926363a796cf61
Difference Hash:4969712148000000
Wavelet Hash:e4fcfcfc3c003030
Color Hash:#1f938a

Other Hashes

Crop Resistant:4969712148000000

Scan History

Scan history not available

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