Security Scan Report: nikatagoshvili-ppkln1kmlt.edgeone.app

Submitted: Feb 24, 2026, 8:23:49 AMCompleted: Feb 24, 2026, 8:25:00 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 11 HTTP transactions. The main domain is nikatagoshvili-ppkln1kmlt.edgeone.app and was registered NaN years ago.

Submitted URL: https://nikatagoshvili-ppkln1kmlt.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

Nika Tagoshvili — Portfolio

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(40%)

Domain Information

You're looking at domain 'nikatagoshvili-ppkln1kmlt.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'nikatagoshvili-ppkln1kmlt'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Tokenizing the label suggests 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://nikatagoshvili-ppkln1kmlt.edgeone.app/

Page Load Overview

0.82s
Total Load Time
7
HTTP Requests
3
Domains
395 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:1,291 chars
Detector Agreement:80%

Website Classification

Primary Category

entertainment media40% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
40%
social media network
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
2172.217.20.138United States
AS15169Google LLC
2142.250.201.163United States
AS15169Google LLC
73--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16C054E11D7738E2B14524AEB591336C46438F3B2C2ECC0FB30AAAB67F766DA2C65D514

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:/x9IE+B4ybpeIxnPYK6s5BQi5s/FJmXaD8peIVnPYK6N5BQC5s/FJmXaDw:45Xbocb5BQiK/FIKD8oKe5BQCK/FIKDw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:820196:QcDAoAtgiTFoIGAaEtlKCijIBwIQEoaMItxCAUIaDCSCQArYJAGJSmRRWACuugCXhQcQACFPEYrACGAd0RtjUADINiSwvQRU

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:01191919191d1101
Perceptual Hash:8859669b33669bcc
Difference Hash:6131b331b1b1b525
Wavelet Hash:197d3d3d1d3d1901
Color Hash:#c4c587

Other Hashes

Scan History

Scan history not available

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