Security Scan Report: rvcroyalbank.info

Redirected to:
https://rvcroyalbank.info/
Submitted: Completed: publiccompleted
This website contacted 14 IPs in 3 countries across 10 domains to perform 22 HTTP transactions. The main domain is rvcroyalbank.info and was registered 1 year 1 month ago.

Submitted URL: http://rvcroyalbank.info/

Effective URL:
https://rvcroyalbank.info/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Parked, ad-monetized domain whose name references 'royalbank'; no forms, malware, or threat-intel hits, but it is not a genuine banking site and should not be used or trusted.

Risk Factors (2)
Brand-adjacent domain name ('royalbank') on a non-official domain that hosts no legitimate bank service
Parked domain monetized with ads and a 'for sale' notice rather than real content
Safety Factors (5)
No login, credential, or payment forms present
No Indicators of Compromise or threat-intelligence matches
No JavaScript malware/YARA patterns and no credential exfiltration
Domain is over 1 year old (374 days)
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 4 to 4
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'rvcroyalbank.info' uses the informational generic top-level domain (.info). Count 12 characters in 'rvcroyalbank' split between three vowels and 9 consonants. Breaking it apart gives four words: rv, c, royal, bank. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://rvcroyalbank.info/

Page Load Overview

2.31s
Total Load Time
296 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Text Length:96 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software40% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
40%
finance banking
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
954.192.35.124United States
AS60068Datacamp Limited
1103.224.182.252San Diego, California, United States
AS133618Trellian Pty. Limited
154.192.35.122Germany
AS8075Microsoft Corporation
194.237.98.241Frankfurt am Main, Hesse, Germany
AS202053UpCloud Ltd
185.9.205.255Frankfurt am Main, Hesse, Germany
AS202053UpCloud Ltd
194.237.85.247Frankfurt am Main, Hesse, Germany
AS202053UpCloud Ltd
1150.171.110.49Azure · CLOUDUnited States
AS8075Microsoft Corporation
1195.181.175.41Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1212.102.56.179Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
187.248.119.252United Kingdom
AS203220Yahoo-UK Limited
2214--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182E2C55486F2042105972025AEBF6FC477755A23358CEC08BD8CAA40EF9D9B74EB6BF4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:MBZBsjBjrAyhtbgt4MiIO/5/9SLzjaLUk/Oyw/rk/Oyw/uQOlG:EMM7gdhCKhCu2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33482:EhvhmqAEULRGoBIJCICbMY3xA4KtgKqACJqEIhgsCgASUDEAgAKyVIBgl005CEiATyglUobIEoQ2YjNJNSBojVMkEpKJNGMD

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:0000c300000000ff
Perceptual Hash:a8609f4a9b4ebb64
Difference Hash:7196969797b3b33b
Wavelet Hash:0042f7c7d31918ff
Color Hash:#b287c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data