Security Scan Report: payee-review.firebaseapp.com

Redirected to:
https://www.santander.co.uk/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 26 IPs in 4 countries across 17 domains to perform 87 HTTP transactions. The main domain is firebaseapp.com and was registered 14 years ago.

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

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

AI Security Verdict

Moderate Risk

Confidence: 80%

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 payee-review.firebaseapp.com is an anonymous Firebase subdomain whose creation date is unknown (platform apex age is not attributable to it)
Safety Factors (2)
Final rendered page is the official Santander UK domain (www.santander.co.uk), an established top-1M-ranked site
Third-party script hosts are standard Santander/enterprise tags (Adobe, LaunchDarkly, OneTrust, Facebook pixel)
Domain age information unavailable

Details

Page Title

Online

Scan Type

public

Domain Name Analysis

The domain 'payee-review.firebaseapp.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'payee-review'. The registrable portion 'firebaseapp' spans 11 characters containing 5 vowels alongside six consonants. Tokenizing the label suggests 3 words: fire, base, app. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.95s
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

finance banking49% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
49%
corporate business
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
323.50.131.154Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.52.181.12Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3172.64.155.119Cloudflare · 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.
334.228.93.186Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
32.16.193.64Akamai · CDNParis, Île-de-France, France
AS16625Akamai Technologies, Inc.
323.50.131.138Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3104.18.32.137Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8726--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D751858E2C44C0A898371F1855EDB814868AFE27893CCCED739B1559C762FB11A1A81F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:b1bcodmo5HoN5oaNeoGp6fl3MAV3pS2DGffF/JWlytwN7j:B3WvNep6fl3MA3pS2D0/JWqwN7j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2811:BsBAQAAhAEAAkRJBCSAAEAQAAAEABABBAAAGAAAAAKEAJCAAACAADgQAFAAAAAAQAAEEAgIAAAwBoIABgACCACIlABBAECAI

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:ffff03000004ffdb
Perceptual Hash:ac07fcd27cc32c2c
Difference Hash:64bebfceecfd3333
Wavelet Hash:ffff03000000ffdb
Color Hash:#8a1f93

Scan History

Scan history not available

Unable to load historical scan data