ScanMalware.com

Security Scan Report: www.rakuten-two.vercel.app

Redirected to:
https://rakuten-two.vercel.app/
Submitted: Jul 28, 2026, 12:45:12 PMCompleted: Jul 28, 2026, 12:46:38 PMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 2 HTTP transactions. The main domain is rakuten-two.vercel.app and was registered NaN years ago.

Submitted URL: https://www.rakuten-two.vercel.app/

Effective URL: https://rakuten-two.vercel.app/Redirected

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site mimics Rakuten branding on a Vercel subdomain without forms; moderate risk due to impersonation and unknown age.

Risk Factors
Brand impersonation on a non‑official domain
Unranked / low‑reputation domain
Unknown subdomain age
Hosted on a generic cloud‑hosting subdomain
Safety Factors
Physical address listed
Legal pages (terms & privacy) present
No malicious scripts or network alerts detected
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Rakuten.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(75%)

Domain Information

Domain 'www.rakuten-two.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.rakuten-two'. The second-level label 'vercel' is 6 characters long holding two vowels versus 4 consonants. Segmentation suggests 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.rakuten-two.vercel.app/

Page Load Overview

9.56s
Total Load Time
32
HTTP Requests
6
Domains
5.5 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:2,173 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping75% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
75%
finance banking
57%
technology software
48%
social media network
42%
documentation technical
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
664.29.17.131United States
AS16509Amazon.com, Inc.
6104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
664.29.17.3United States
AS16509Amazon.com, Inc.
6104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
325--

Page Statistics

32
Requests
6
Unique Domains
5.6 MB
Total Size

Detected Technologies5

Vercel
40%
HSTS
40%
Font Awesome
40%
jsDelivr
20%
Unpkg
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2B3EC065E980197B05A4C7F7881BF346AF6E7195A910895F13D2D807FF28AE318FB72

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xVeUO6kCtRrM1MvMaMfMRQdm0grfT/QypZhzZHp6jA691+:qYIlgrLXzZJo191+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:112216:AdVzGCIEOJQEIhDVIkpQIqAHgQqB3QVQOWFkSAh2QU8SQCIkAMAgNK7IU0hN4QoBHAChBFYFagKqhyBEiHBoDQaiKsCUoEdI

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:00000000ffffffff
Perceptual Hash:af701b8ff00b1a9a
Difference Hash:3125099500636362
Wavelet Hash:00000000ffffffff
Color Hash:#a0d279

Other Hashes

Crop Resistant:3125099500636362,718c208020208000

Scan History

Scan history not available

Unable to load historical scan data