Security Scan Report: hackzphisher-0ulpenb8n4.edgeone.app

Submitted: Feb 25, 2026, 3:38:54 PMCompleted: Feb 25, 2026, 3:40:11 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 hackzphisher-0ulpenb8n4.edgeone.app and was registered NaN years ago.

Submitted URL: https://hackzphisher-0ulpenb8n4.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: 70%

4
Risk Score

New, suspicious‑named subdomain with no active threats; treat cautiously.

Risk Factors
Suspicious subdomain name suggesting phishing activity
New subdomain with unknown age on a free hosting platform
Low Cisco Umbrella ranking (455,732) indicating limited reputation
Safety Factors
No malicious Indicators of Compromise matches found
No JavaScript malware patterns detected
No network IDS alerts
No credential exfiltration or cross‑origin data collection
Domain age information unavailable

Details

Page Title

HACKER

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(92%)

Domain Information

You're looking at domain 'hackzphisher-0ulpenb8n4.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'hackzphisher-0ulpenb8n4'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. It segments into 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://hackzphisher-0ulpenb8n4.edgeone.app/

Page Load Overview

0.73s
Total Load Time
2
HTTP Requests
1
Domains
7 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:430 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software92% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
92%
documentation technical
73%
phishing scam
56%
cryptocurrency blockchain
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C662735A1AF30006A013A1796BF77704B77580039706CC5D7BDE63889F9A686ADA3B89

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:aihcrd43G9b3F0tWfMTsph/EcODzJJ/YyXRvyByLg2frW2a+I6V5GR2QJz4mXJNK:RcbbVQRFDPquVx2ZrzC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14809:MkEHR2AJUCCZDHWaAQzVA5CDEVgEYMUnAgDli2BIaxAGFRGBBTxCmoRgo4BDBAAoaQCWlAJWIFCIBogRUChEthiKJAMQ4Qcg

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:d8eefe8080e20000
Perceptual Hash:f0f001e90b0dff9c
Difference Hash:1094042a2a169293
Wavelet Hash:fcfcff80efe04000
Color Hash:#3a7841

Other Hashes

Crop Resistant:1094042a2a169293

Scan History

Scan history not available

Unable to load historical scan data