Security Scan Report: arman-vip-hack-signal-4z0nltlpvv.edgeone.app

Submitted: Mar 28, 2026, 11:03:54 AMCompleted: Mar 28, 2026, 11:05:08 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is arman-vip-hack-signal-4z0nltlpvv.edgeone.app and was registered NaN years ago.

Submitted URL: https://arman-vip-hack-signal-4z0nltlpvv.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: 88%

8
Risk Score

High‑risk site collecting passwords on a new subdomain; likely credential phishing.

Risk Factors
Credential collection form (password) on a newly created/unknown‑age subdomain
Subdomain hosted on a free hosting platform (.edgeone.app) without established reputation
No legitimate brand affiliation; appears to impersonate a hacking service
Domain age information unavailable

Details

Page Title

𝘼𝙄-𝙃𝘼𝘾𝙆-.𝟵𝟵𝟵™𝗦𝗜𝗚𝗡𝗔𝗟 𝗔𝗥𝗠𝗔𝗡.𝗖𝗛𝗢𝗪𝗗𝗛𝗨𝗥𝗬

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(99%)

Domain Information

Within the application-focused generic top-level domain (.app), 'arman-vip-hack-signal-4z0nltlpvv.edgeone.app' is registered; it also runs on subdomain 'arman-vip-hack-signal-4z0nltlpvv'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. Tokenizing the label suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arman-vip-hack-signal-4z0nltlpvv.edgeone.app/

Page Load Overview

3.54s
Total Load Time
48
HTTP Requests
7
Domains
326 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:141 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network99% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
99%
cryptocurrency blockchain
75%
technology software
63%
healthcare medical
47%
finance banking
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2443.152.26.58Singapore
24188.114.96.3United States
AS13335Cloudflare, Inc.
482--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F522846335AB00219193D4A93AA69B4931364803930BC6283EFED160DFCFD7694B7BD8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:J5IGVqE4wB8eK2Wv2XXfXGplXR9n9tgvHvJyRiWS9iWvQi/i1ixiJiRBibm0nOwp:TIqqXv2HCXRwMW4i/i1ixiJibi1OwJQm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10156:gAASgmkLDAIWohKcGCRMQUKuQAI9sgknDAqwoeNChEOoyAyTCRlBSwCUAUqhkgCABjqSiDCKwBABIITXCxglJCRlODkomJIE

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:0818181818181818
Perceptual Hash:890707270727fdf8
Difference Hash:d2f2b2b2b2b2b3b3
Wavelet Hash:181818183c3c1d1d
Color Hash:#b42dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data