Security Scan Report: www.robinhood.com

Redirected to: https://robinhood.com/us/en/newsroom/give-the-gift-of-crypto-with-robinhood/

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Submitted: Dec 27, 2025, 1:52:03 AMCompleted: Dec 27, 2025, 1:52:30 AMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 14 domains to perform 98 HTTP transactions. The main domain is robinhood.com and was registered NaN years ago.

Submitted URL: https://www.robinhood.com/us/en/newsroom/give-the-gift-of-crypto-with-robinhood

Effective URL: https://robinhood.com/us/en/newsroom/give-the-gift-of-crypto-with-robinhood/Redirected

The Cisco Umbrella rank of the primary domain is #7,013 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Robinhood news page with no security concerns.

Safety Factors
Established, high‑reputation domain
Top‑10 k ranking in Cisco Umbrella
No suspicious redirects or hidden fields
Content is a standard corporate news article
Domain age information unavailable

Details

Page Title

Give the Gift of Crypto with Robinhood!

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(41%)

Domain Information

Domain 'www.robinhood.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The registrable portion 'robinhood' spans 9 characters containing four vowels alongside five consonants. Splitting it apart reveals 2 words: robin, hood. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.robinhood.com/us/en/newsroom/give-the-gift-of-crypto-with-robinhood

Page Load Overview

3.97s
Total Load Time
122
HTTP Requests
15
Domains
5.1 MB
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:7,687 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain41% confidence
Type: spa
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
41%
e-commerce shopping
34%
documentation technical
29%
technology software
27%
social media network
27%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1835.186.247.156United States
AS396982GOOGLE-CLOUD-PLATFORM
835.201.111.240Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
813.226.244.66United States
AS16509AMAZON-02
835.190.14.188United States
AS396982GOOGLE-CLOUD-PLATFORM
834.95.108.180Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
813.33.187.16SwedenUnknown
835.241.3.184Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
8104.18.23.107United States
AS13335CLOUDFLARENET
8146.75.123.18SwedenUnknown
834.120.28.121Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
12214--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6C329B340A011360007ABC179D62F68A176902EF953CDDE91AC1E15CBFAE957347EAF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:pG7iYM14TW2lRu0YS4F50FFMLVCvIW/TN4+cDBgrpCYeBd4zgLvTrqCYvBg4Arso:pAEApjahgmV1dCC15CXTepJYe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123759:iQsACDkBgU0WQtEMlMQWDK5AAARtBCIYRBMICR0C0ALRNAuKZWgAHIJANATmYAAQImMUAIjQAAbTQAg6BIAbpKSGDyqJLRke

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:fec7c3c3c3c7ffff
Perceptual Hash:b464d9db345c7464
Difference Hash:ba0786868d8c9e9d
Wavelet Hash:1e8183c3c3c3cfc7
Color Hash:#b3d279

Scan History

Scan history not available

Unable to load historical scan data