Security Scan Report: check-device-security.web.app

Redirected to:
https://www.santander.co.uk/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 27 IPs in 3 countries across 19 domains to perform 90 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://check-device-security.web.app/

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

AI Security Verdict

Moderate Risk

Confidence: 65%

5
Risk Score

Redirect chain ends on Santander's own established site; no forms, no threat-intel, no impersonation. Only the unranked web.app entry host and redirect hops warrant mild caution.

Risk Factors (2)
Entry point is an unranked free-hosting subdomain (check-device-security.web.app) with no published creation date — its rank and age say nothing about the final page
Three redirects across unrelated domains before landing on the bank
Safety Factors (3)
Final destination www.santander.co.uk is the brand's own long-established, top-ranked domain
Rendered page contains no credential, password or payment form fields
Cross-origin traffic is limited to well-known analytics/tag hosts (Adobe, OneTrust, LaunchDarkly)
Domain age information unavailable

Details

Page Title

Online

Scan Type

public

Domain Name Analysis

The domain 'check-device-security.web.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'check-device-security'. The second-level label 'web' is 3 characters long split between one vowel and 2 consonants. Tokenizing the label suggests one word: web. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://check-device-security.web.app/

Page Load Overview

2.45s
Total Load Time
2.7 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

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1723.50.131.154Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1123.52.181.12Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
11172.64.155.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
723.50.131.138Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
623.50.131.134Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
354.164.137.47Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3142.251.157.120Google · CDNUnited States
AS15169Google LLC
323.50.131.160Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
9027--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC51859E1C84E419993B2F0554C5B8484789EE278D388CEE63EB512DC742FB0161B90F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:b1brRoLWohdoJdoaTAoGp6fl3MAV3pS2DGffF/JQA7MTNj:Bi1KrTAp6fl3MA3pS2D0/JQA7MTNj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2888:AEACAABgAAAQEAhYALABCGgAAAADBAnQiAEALgAGAIEQCCCUQCAAACCAABVAAAABBkEIgAIAAAQABAAAAAQAICAAEAAgAQDQ

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:06200030000

Scan History

Scan history not available

Unable to load historical scan data