Security Scan Report: pikirkan-dq5cmocfkx.edgeone.app

Submitted: Feb 22, 2026, 6:21:52 PMCompleted: Feb 22, 2026, 6:23:30 PMpubliccompleted
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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 pikirkan-dq5cmocfkx.edgeone.app and was registered NaN years ago.

Submitted URL: https://pikirkan-dq5cmocfkx.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: 92%

0
Risk Score

No malicious activity detected; site appears benign.

Safety Factors
Hosted on a known platform (edgeone.app) with no suspicious activity
No login, payment, or hidden fields present
No external links or cross‑origin requests
Domain age unknown but no malicious behavior observed
Domain age information unavailable

Details

Page Title

pikirkan-dq5cmocfkx.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(37%)

Domain Information

Domain 'pikirkan-dq5cmocfkx.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'pikirkan-dq5cmocfkx'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. Splitting it apart reveals 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pikirkan-dq5cmocfkx.edgeone.app/

Page Load Overview

2.31s
Total Load Time
3
HTTP Requests
2
Domains
15 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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical37% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
37%
phishing scam
29%
news media journalism
27%
adult content
26%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T101048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:afQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz22bMy8Oldk:hhoC9JSqzzbs6o3Sj3gcrsy2eAy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184546:EIiIWIqBKMAIIVt1hsGgrUKdABCAB0EkSDJCRQBggpiEVxSYDiAAh6yNVA5Bk0tJwTkMFhZ5jiAYETQUpxCIEUICyASDYVuP

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:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#c58b87

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data