Security Scan Report: mobilebanking-review-payee.firebaseapp.com

Redirected to:
https://www.santander.co.uk/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 25 IPs in 4 countries across 19 domains to perform 87 HTTP transactions. The main domain is firebaseapp.com and was registered 14 years ago.

Submitted URL: https://mobilebanking-review-payee.firebaseapp.com/

Effective URL:
https://www.santander.co.uk/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

This disposable or newly registered address only forwards visitors to a well-known site, a common way to hide a scam from security scanners — rated moderate risk on that basis.

Risk Factors (1)
Entry host is an anonymous, unknown-creation-age Firebase subdomain (mobilebanking-review-payee.firebaseapp.com) whose name references reviewing/adding a mobile-banking payee — not an official Santander hostname; it functions only as a redirect and could be used as a lure in email/SMS campaigns.
Safety Factors (2)
Final destination is www.santander.co.uk, the brand's own established, ranked domain — no cross-domain brand impersonation.
Redirect across domains is a common, non-malicious pattern (marketing/vanity links, domain moves).
Domain age information unavailable

Details

Page Title

Online

Scan Type

public

Domain Name Analysis

The domain name 'mobilebanking-review-payee.firebaseapp.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'mobilebanking-review-payee'. The second-level label 'firebaseapp' is 11 characters long with 5 vowels and 6 consonants. Segmentation suggests 3 words: fire, base, app. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mobilebanking-review-payee.firebaseapp.com/

Page Load Overview

1.38s
Total Load Time
2.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:17 chars
Detector Agreement:0%

Website Classification

Primary Category

corporate business41% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

corporate business
41%
finance banking
41%
adult content
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
323.1.228.183Akamai · CDNLondon, England, United Kingdom
AS20940Akamai International B.V.
32.23.245.90Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3104.18.32.137Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
323.50.131.134Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
33.228.204.222Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3142.250.154.94Google · CDNUnited States
AS15169Google LLC
3142.251.150.120Google · CDNUnited States
AS15169Google LLC
323.1.228.194Akamai · CDNLondon, England, United Kingdom
AS20940Akamai International B.V.
8725--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E51844E2C84D158A83F6B4955C5F4148689FE378D388CEE73AB2169C302FF4271A80B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:b1brRoBixo7iojioaNPoGp6fl3MAV3pS2DGffF/JqiBwJNEj:BqLCNPp6fl3MA3pS2D0/JDwJNEj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2882:AAAC0AIgAqIQJQBAQABAhAACQAAIBABAOAMgAggAAKEIIAqFAgAABAAAAAQUIAAAEAUQICIAQAEABCAFAAQAYQoAAIBAABgB

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data