Security Scan Report: marv-iceberg.firebaseapp.com

Redirected to:
https://broxel.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 71 IPs in 3 countries across 38 domains to perform 221 HTTP transactions. The main domain is firebaseapp.com and was registered 14 years ago.

Submitted URL: https://marv-iceberg.firebaseapp.com/

Effective URL:
https://broxel.com/
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Redirect from a firebaseapp subdomain resolves to Broxel's own ranked domain. Branding is self-branding, no credential or payment forms, and all threat-intel, YARA and IDS checks are clean. Unusual entry host only.

Risk Factors (2)
Redirect chain begins at an unranked free-hosting subdomain (marv-iceberg.firebaseapp.com) whose actual creation date is unknown; the redirector host's age/reputation cannot vouch for the destination.
The captured page itself is a near-empty 'Redirection Page' shell rather than the full site, so only limited on-page evidence was available.
Safety Factors (4)
Final destination broxel.com is the brand owner's own ranked domain (Cisco Umbrella top 1M), ruling out brand impersonation.
No credential, login, or payment fields present in the verified form facts.
No Indicators of Compromise, no YARA matches, no IDS alerts, no known-kit matches, and no credential exfiltration detected.
Third-party scripts are all top-1M ranked analytics/support vendors, consistent with a legitimate fintech site.
Domain age information unavailable

Details

Page Title

Redirection Page

Scan Type

public

Domain Name Analysis

The domain 'marv-iceberg.firebaseapp.com' uses the commercial generic top-level domain (.com) and includes subdomain 'marv-iceberg'. The second-level label 'firebaseapp' is 11 characters long holding 5 vowels versus six consonants. Word splitting yields three words: fire, base, app. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://marv-iceberg.firebaseapp.com/

Page Load Overview

5.32s
Total Load Time
7.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:16 chars
Detector Agreement:0%

Website Classification

Primary Category

cryptocurrency blockchain94% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

cryptocurrency blockchain
94%
finance banking
90%
adult content
87%
technology software
57%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
334.8.48.2Google · CDNKansas City, Missouri, United States
AS396982Google LLC
3142.251.14.95Google · CDNUnited States
AS15169Google LLC
3142.251.110.97Google · CDNUnited States
AS15169Google LLC
334.120.31.228Google · CDNKansas City, Missouri, United States
AS396982Google LLC
318.173.205.116Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
385.17.47.238Haarlem, North Holland, Netherlands
AS60781LeaseWeb Netherlands B.V.
3104.19.148.8Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
323.32.238.184Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
22171--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A116DCB28E35001297254599ED6B20C39B350AF548D98807ADDDB981FD476B81B3ACC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRjy7E8aS33qS4ACtTrcyqhIOxHFwK1IhXBRcygoxH/Lkb8dMLuexHAeSp4Nbx4D:hRjCpHKpnlrevJbn617p4NO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:855:AEAAAAAAAAAAAAAIAAAAAAAAAAAAAAEAAAAEAAAAAAAAAAABAAAAEAAAAAAhAAAAAIAAAAASgCEAAAAAAAgQAAAAEIAAAgAA

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:d3fbc991e38397ff
Perceptual Hash:ec49c366c73c30e3
Difference Hash:062333332a262600
Wavelet Hash:c0f98193c38383ff
Color Hash:#b7bf40

Other Hashes

Crop Resistant:062333332a262600

Scan History

Scan history not available

Unable to load historical scan data