Security Scan Report: pub-0034e494f21a4041a289a484d1340313.r2.dev

Submitted: Completed: publiccompleted
This website contacted 11 IPs in 2 countries across 8 domains to perform 19 HTTP transactions. The main domain is r2.dev and was registered 4 years 2 months ago.

Submitted URL: https://pub-0034e494f21a4041a289a484d1340313.r2.dev/index.html

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Fake MetaMask page on a Cloudflare R2 bucket that harvests wallet Secret Recovery Phrases and posts them to an unrelated external host. Flagged by Safe Browsing for social engineering — a wallet drainer.

Risk Factors (6)
Impersonation of the MetaMask brand on an unrelated cloud-storage subdomain
Harvests cryptocurrency Secret Recovery Phrase (seed phrase) — direct wallet-drainer behavior
Google Safe Browsing flagged the page twice for Social Engineering
Password fields with no username field (seed-phrase harvesting pattern)
Cross-origin POST of entered data to an unrelated third-party domain (chicago-locksmith.sa.com)
Hosted on instantly-publishable shared cloud storage, so the platform age is not attributable to this page
Domain age information unavailable

Details

Page Title

MetaMask

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'pub-0034e494f21a4041a289a484d1340313.r2.dev' is registered, featuring subdomain 'pub-0034e494f21a4041a289a484d1340313'. Its registrable label 'r2' stretches across 2 characters split between zero vowels and one consonant, notching one digit. Segmentation suggests two words: r, 2. Median word length is one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pub-0034e494f21a4041a289a484d1340313.r2.dev/index.html

Page Load Overview

1.23s
Total Load Time
302 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,814 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9104.18.54.45Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
1104.18.50.34Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1911--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14F53435154F80527D273D1D846D5AE3A7EF0C30BC886D4417AAC0BD89FA2C83DA6F79A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:NptnAFv5tFAFGwDq3UUVYhO22aHt+Vj7k1+BQXLCtP0FqTwk+aPuDIaEUdXIfyn9:NpVAFv5tFAFzDq3UGW4sRRmoLZJE9G3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63667:siKKBRhiQshWEUWOAg1IADGHAAyoBkBoGIhAUAyuVECEMiBAGYnCWaAAJABQYcCMMsLaCAcYtGVFlAkwhIaQKSIYCAQI0QJq

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:ffe7c3c3c3fbe7ff
Perceptual Hash:b332cfc99898c963
Difference Hash:410c0e160e160c08
Wavelet Hash:81e7c3c3c3c3c3c3
Color Hash:#53ac62

Other Hashes

Crop Resistant:410c0e160e160c08

Scan History

Scan history not available

Unable to load historical scan data