ScanMalware.com

Security Scan Report: pub-95bd6fa651d64499ba2be3cf8d075717.r2.dev

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/a9a9e0e3-af8b-4b33-bf36-8852f4116549Domain and IP registration (RDAP)/api/v1/rdap/a9a9e0e3-af8b-4b33-bf36-8852f4116549How often this domain was scanned/api/v1/domain/stats/pub-95bd6fa651d64499ba2be3cf8d075717.r2.devScan history for this domain/api/v1/domain/history/pub-95bd6fa651d64499ba2be3cf8d075717.r2.dev?limit=15
This website contacted 7 IPs in 1 country across 4 domains to perform 5 HTTP transactions. The main domain is r2.dev and was registered 4 years 2 months ago.

Submitted URL: https://pub-95bd6fa651d64499ba2be3cf8d075717.r2.dev/index.html

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake cPanel 'Webmail' login page on an anonymous Cloudflare R2 bucket, impersonating a webmail brand to capture email passwords — clear credential phishing.

Risk Factors (4)
Credential-harvesting login form (email + password) on a public cloud-storage bucket
Brand impersonation of cPanel webmail on an unrelated r2.dev host
Anonymous shared-hosting tenant whose real age cannot be established (apex age is the platform's, not the page's)
Page presents itself as a service login with no legitimate domain ownership
Domain age information unavailable

Details

Page Title

Webmail Login

Scan Type

public

Domain Name Analysis

Domain 'pub-95bd6fa651d64499ba2be3cf8d075717.r2.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'pub-95bd6fa651d64499ba2be3cf8d075717'. Count 2 characters in 'r2' containing zero vowels alongside one consonant, notching 1 digit. Splitting it apart reveals 2 words: r, 2. Median word length comes out to one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pub-95bd6fa651d64499ba2be3cf8d075717.r2.dev/index.html

Page Load Overview

0.39s
Total Load Time
106 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:65 chars
Detector Agreement:100%

Website Classification

Primary Category

social_media50% confidence
Type: webapp
Method: structural

All Detected Categories

social_media
50%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.18.50.34Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.20.95Google · CDNUnited States
AS15169Google LLC
0104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.54.45Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
57--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160B2AE2B94B72D17D49391B46145291A3F074663D30A8C04F9BE16C4BF89EA28D7FACC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:fSGa3ZgMtvwaohyTa21EImkasJfvCXU6+5rKETJTl388Q0kRPBbaqAAgs3CxdXrR:fJa3ZgMtDoyaXIvGurFd8LRP593CxRrR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23815:CRbgiFgDELKRQkhISVQJ4oYQMGYg6gYDQANAAAGxdACJFdVg4AAIQBMYAeB0wcAAAxiCBDQBVxIFwBQxBiRAIQWQlJKBEkQE

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:ffe7e7e7e7e7ffff
Perceptual Hash:b333cccc66839999
Difference Hash:000c080c0c080800
Wavelet Hash:fce4e4e400243c3c
Color Hash:#2d6786

Other Hashes

Crop Resistant:000c080c0c080800

Scan History

Scan history not available

Unable to load historical scan data