Security Scan Report: viphelp.cc

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Submitted: Oct 24, 2025, 11:59:01 AMCompleted: Oct 24, 2025, 12:02:11 PMpubliccompleted
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Summary

This website contacted 59 IPs in 4 countries across 10 domains to perform 48 HTTP transactions. The main domain is viphelp.cc and was registered NaN years ago.

Submitted URL: https://viphelp.cc/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing scam impersonating Robinhood; do not trust.

Risk Factors
URL manipulation (phishing technique)
Brand impersonation on a newly registered, unranked domain
Critical domain age (<7 days)
Mismatch between displayed brand (Robinhood) and actual domain (viphelp.cc)
Domain age information unavailable

Details

Page Title

Robinhood

Scan Type

public

Language

🇺🇸

English

(57% confidence)

Category

gambling betting

(56%)

Domain Information

Within the .cc country-code top-level domain, 'viphelp.cc' is registered with no subdomain. The registrable portion 'viphelp' spans 7 characters with two vowels and five consonants. Word splitting yields 2 words: vip, help. Median word length comes out to 3.5 characters. 'vip' most often appears in English. Secondary signals appear in Chinese (Pinyin) and Dutch. Overall, 'viphelp.cc' reads as English.

Screenshot

Security scan screenshot of https://viphelp.cc/

Page Load Overview

2.42s
Total Load Time
48
HTTP Requests
10
Domains
101 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:57%
Script Type:Latin
HTML Lang Attribute:en
Text Length:176 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting56% confidence
Type: static
Method: ml+structural

All Detected Categories

gambling betting
56%
government public service
47%
finance banking
42%
cryptocurrency blockchain
30%
e-commerce shopping
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
248.213.230.43Bangkok, Bangkok, Thailand
AS45102Alibaba US Technology Co., Ltd.
918.245.31.84United States
AS16509AMAZON-02
5104.18.22.242United States
AS13335CLOUDFLARENET
3188.114.96.3United States
AS13335CLOUDFLARENET
2108.138.7.107United States
AS16509AMAZON-02
2104.18.23.242United States
AS13335CLOUDFLARENET
1163.181.92.197Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
13.167.227.42United States
AS16509AMAZON-02
1124.221.80.91Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
0108.138.7.80United States
AS16509AMAZON-02
4859--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154326128B00B20515533DBC1F9D58F086183AB3BC350AE64BBAD22256FCADF84975B78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Gtb6ZbigSTeVmYWLD3r1WlD3lOeigyle4pWpTzhBeC3D:+UuumYs3JK3QOTzhBeC3D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11969:SLQTIREpQEQroUsaSgWgDgIkcB6aQgyFIaSIo4nyILs2MMQEAc8CAIGmkAJZQVoQBICCqFRJfRDAgwAgUIAGVtYHKCRKARmE

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:3c3c3c3c3c3c3c3c
Perceptual Hash:8a64cb7799739930
Difference Hash:696161e969696961
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#2d4386

Other Hashes

Crop Resistant:696161e969696969

Scan History

Scan history not available

Unable to load historical scan data