Security Scan Report: traditional-olive-zp3pj45lch-xyxlflof4b.edgeone.app

Submitted: Feb 21, 2026, 3:34:52 AMCompleted: Feb 21, 2026, 3:36:55 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is traditional-olive-zp3pj45lch-xyxlflof4b.edgeone.app and was registered NaN years ago.

Submitted URL: https://traditional-olive-zp3pj45lch-xyxlflof4b.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

traditional-olive-zp3pj45lch-xyxlflof4b.edgeone.app

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

social media network

(52%)

Domain Information

Domain 'traditional-olive-zp3pj45lch-xyxlflof4b.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'traditional-olive-zp3pj45lch-xyxlflof4b'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Splitting it apart reveals 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://traditional-olive-zp3pj45lch-xyxlflof4b.edgeone.app/

Page Load Overview

6.77s
Total Load Time
4
HTTP Requests
4
Domains
15 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:515 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CE048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszc2bMy8Old6:IhoC9JSqzzbs6o3Sj3gcrs42eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:MwkhAMiIYCDm6FIAcJQrOikARgyoUrgiEADYkCXDIFYkA1joIAgQEWMJAkBwToDCDAcCGiyUKGBSQgTAQUmCmJGtAGCIVnxS

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:fcdcc0c400000000
Color Hash:#6ce0a8

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data