Security Scan Report: rdg-connect-ptr.firebaseapp.com

Redirected to:
https://connect.rolanddg.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 15 IPs in 4 countries across 11 domains to perform 54 HTTP transactions. The main domain is firebaseapp.com and was registered 14 years ago.

Submitted URL: https://rdg-connect-ptr.firebaseapp.com/

Effective URL:
https://connect.rolanddg.com/
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

1
Risk Score

Redirect from a firebaseapp.com host lands on the brand's own ranked domain (connect.rolanddg.com). No forms, no credential capture, no Indicators of Compromise, no malware. Informational IDS notes only; nothing malicious on the page.

Safety Factors (4)
Redirect terminates on the brand's own ranked domain (connect.rolanddg.com), confirming this is the brand's site reached via a vanity/legacy redirect
No forms, no credential fields, no payment fields, no cross-origin credential exfiltration
No threat-intel matches, no YARA hits, no malicious kit roster entry
Page reads as a product/technical portal (documentation/technical classification) with no urgency, reward, or scam content
Domain age information unavailable

Details

Page Title

Roland DG Connect

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'rdg-connect-ptr.firebaseapp.com' is registered, featuring subdomain 'rdg-connect-ptr'. The core label 'firebaseapp' covers 11 characters split between 5 vowels and 6 consonants. Segmentation suggests three words: fire, base, app. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rdg-connect-ptr.firebaseapp.com/

Page Load Overview

1.07s
Total Load Time
7.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:63%
Script:Latin
Direction:ltr

Detection Details

Text Length:84 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
89%
healthcare medical
85%
technology software
72%
government public service
51%
adult content
42%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12151.101.1.195Fastly · CDNUnited States
AS54113Fastly, Inc.
3199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
3142.251.127.94Google · CDNUnited States
AS15169Google LLC
3172.217.119.4Google · CDNUnited States
AS15169Google LLC
3172.217.113.4Google · CDNUnited States
AS15169Google LLC
320.82.13.59Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
3172.217.114.4Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
320.48.204.15Azure · CLOUDToronto, Ontario, Canada
AS8075Microsoft Corporation
3142.251.110.97Google · CDNUnited States
AS15169Google LLC
5415--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15A62E6E3AE92E5391653E681EC7FB251E26E4117450DC848B6EC477C6B83C8A90B3F71

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:12cNY8/NNm+kNBpG/lXHXKXeX/KNdu+Rt2aEL8RoaZ7tJAD/:TrUdu6t2a6+oaZ4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15725:QA0UQThoxCQ7CLYeYC4ESCwigCpQTjBHCEQBEMEIAoSiGVdoYCXJCVAAlLALtlIUCAAVFgJoyqIoKoI20KpoVBxsfYDWCpAY

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:ffffff8181ffffff
Perceptual Hash:bc98c3663c99c366
Difference Hash:0022003f37002200
Wavelet Hash:cccccf81010f0f0f
Color Hash:#7997d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data