Security Scan Report: robinhoodfogin.gitbook.io

Submitted: Nov 15, 2025, 11:36:00 AMCompleted: Nov 15, 2025, 11:36:43 AMpubliccompleted
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Summary

This website contacted 12 IPs in 0 countries across 4 domains to perform 43 HTTP transactions. The main domain is robinhoodfogin.gitbook.io.

Submitted URL: https://robinhoodfogin.gitbook.io/login/

AI Security Verdict

High Risk

Confidence: 88%

9
Risk Score

Impersonates Robinhood login on an untrusted domain – high risk phishing.

Risk Factors
Brand impersonation of Robinhood on a non‑official domain
Unranked and likely newly registered domain
Login‑page appearance without legitimate authentication infrastructure
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.

Page Title

Róbinhood Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'robinhoodfogin.gitbook.io' on the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'robinhoodfogin'. Count 7 characters in 'gitbook' containing 3 vowels alongside four consonants. It segments into three words: g, it, book. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://robinhoodfogin.gitbook.io/login/

Page Load Overview

8.07s
Total Load Time
43
HTTP Requests
4
Domains
680 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:308 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10172.64.147.209UnknownUnknown
3172.64.146.167UnknownUnknown
3104.18.40.47UnknownUnknown
3104.18.40.68UnknownUnknown
3172.64.147.188UnknownUnknown
3104.18.41.89UnknownUnknown
32606:4700:4407::6812:282fUnknownUnknown
32a06:98c1:3101::ac40:93bcUnknownUnknown
32606:4700:4402::ac40:93d1UnknownUnknown
32a06:98c1:310d::ac40:92a7UnknownUnknown
4312--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EEB3B71A6001F7059EB2DD15633ABE3E809DD227D778C8BDF30DD9A6178853B1BA3990

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:f3grafpIG3x4/C3/Ion1dF41AIFqkIECWJBd1Unagc:qa9Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:112726:sASQAIArkVmICcQ9BNCCGlJcCEABy0gGq/losQgCAQfEIcJIHhQlMSwAjQJBQYEQ8owpQEGqDWABIMEAVCq1EBGc61mgBUWE

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:ffffc3c3c3c3ffff
Perceptual Hash:e5649a936ccc6565
Difference Hash:591e8696969e0046
Wavelet Hash:00c3c3c3c3c3cf3f
Color Hash:#d27992

Scan History

Scan history not available

Unable to load historical scan data