Security Scan Report: libtrackskkj-yv6l03wunp.edgeone.app

Submitted: Feb 19, 2026, 2:28:26 AMCompleted: Feb 19, 2026, 2:29:58 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 libtrackskkj-yv6l03wunp.edgeone.app and was registered NaN years ago.

Submitted URL: https://libtrackskkj-yv6l03wunp.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site likely phishing for credentials; do not submit any information.

Risk Factors
Credential harvesting form (password‑only field)
Hidden password input field
Brand impersonation on an untrusted domain
Domain age information unavailable

Details

Page Title

libtrackskkj-yv6l03wunp.edgeone.app

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

technology software

(60%)

Domain Information

Domain 'libtrackskkj-yv6l03wunp.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'libtrackskkj-yv6l03wunp'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three 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://libtrackskkj-yv6l03wunp.edgeone.app/

Page Load Overview

6.10s
Total Load Time
11
HTTP Requests
6
Domains
26 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:ms
Text Length:125 chars
Detector Agreement:100%
Language mismatch: Declared as ms but detected as id

Website Classification

Primary Category

technology software60% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
60%
education learning
46%
documentation technical
39%
adult content
36%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1143.152.26.58Singapore
111--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13A048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszo2bMy8Oldy:ihoC9JSqzzbs6o3Sj3gcrsE2eAY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184566:wAQpACIQEAjTBbjABBIAAITBZMEVYxGSPlMAUFuEFeAbUCxoIHAQniKIj4E6BgTAwaAVVkAwvAQIUgRgYCAgpgvwAQEkQIMM

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:b331cccccc676323
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#6553ac

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data