Security Scan Report: pub-7c40a55864fd4d4c9dab709154478f5e.r2.dev

Submitted: Completed: publiccompleted
This website contacted 6 IPs in 1 country across 4 domains to perform 9 HTTP transactions. The main domain is r2.dev and was registered 4 years 2 months ago.

Submitted URL: https://pub-7c40a55864fd4d4c9dab709154478f5e.r2.dev/indexWbm.html#info%40byebyte.ch

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Fake cPanel webmail login on a Cloudflare R2 bucket that harvests email passwords, personalised via a victim address in the URL fragment and a fake 'Invalid Password' retry prompt. Do not enter credentials.

Risk Factors (6)
Credential-harvesting login form on anonymous cloud storage (Cloudflare R2 public bucket)
Impersonation of cPanel webmail branding and copyright on a non-cPanel, non-official domain
Victim email address ([email protected]) embedded in the URL fragment for targeted credential capture
Fabricated 'Invalid Password' error message engineered to force repeat password entry
Form action '#', a dead endpoint consistent with a phishing kit, not a real login service
No legitimate business identity: no registrable domain, no contact details, legitimacy score 5/100
Domain age information unavailable

Details

Page Title

Web-m@1l Login

Scan Type

public

Domain Name Analysis

The domain name 'pub-7c40a55864fd4d4c9dab709154478f5e.r2.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'pub-7c40a55864fd4d4c9dab709154478f5e'. The second-level label 'r2' is 2 characters long with 0 vowels and 1 consonant; it also includes 1 digit. Segmentation suggests two words: r, 2. The median word length lands at one character. No strong language cues emerged from the frequency lists.

Screenshot

BBlogo Email Address Enter your email address. Password Reset Password + English Select a locale: English Copyright© 2023 cPanel, L.L.C. Privacy Policy PP

Page Load Overview

80.10s
Total Load Time
100 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:338 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(78%)🇮🇹it(22%)

Website Classification

Primary Category

technology software45% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
45%
social media network
27%
adult content
26%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.18.54.45Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.50.34Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1208.74.120.133Houston, Texas, United States
AS33522cPanel, LLC.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
96--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196F2615CB5770CEE8C17915BD08C370DD640EE47F54E4A14B1AE16886FA2E4AF8CA35D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:TvEpsiXWj/ZmXg8bNyM5ZmKjCgJUJoi3vELo2CmiiC/ZmXg8AZBYzlLpnN:TvEpDCZmXg8PmK+JFZmXg80CpN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37036:gKOAIFmMMBCLMABdOCAMYU+DSkRQgHgkIhQo8k2i6UlAogpAWKiGhUzogCAkIQABACBHmAg9zGBGAEkiGGQgJkAAuvFAOICe

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:7f7f7fffffffffff
Perceptual Hash:800000c8ffffff27
Difference Hash:8080880000000000
Wavelet Hash:0f0767ff00000000
Color Hash:07000608010

Other Hashes

Crop Resistant:8080880000000000

Scan History

Scan history not available

Unable to load historical scan data