Security Scan Report: auth-login-user.web.app

Redirected to:
https://www.santander.co.uk/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 25 IPs in 3 countries across 17 domains to perform 87 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://auth-login-user.web.app/

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

AI Security Verdict

Moderate Risk

Confidence: 62%

5
Risk Score

A login-named Firebase subdomain with a single-source phishing report redirects to the real Santander UK site, which serves no forms or malicious code. The redirector itself is untrustworthy; the destination is genuine.

Risk Factors (3)
Entry domain carries an unverified single-source phishing report
Deceptive login-suggestive hostname ('auth-login-user') hosted on a free platform subdomain of unknown creation date
Multi-hop cross-domain redirect chain from an anonymous Firebase subdomain to a bank login destination
Safety Factors (6)
Final destination is the genuine Santander UK domain, matching the brand shown on the page
No credential or payment form present on the captured page
No obfuscated or malicious JavaScript, no hunting rule or IDS hits, no credential exfiltration
Third-party scripts are mainstream analytics/consent vendors (Adobe, LaunchDarkly, OneTrust, Facebook)
No concrete malicious signal: the threat-feed matches name third-party or shared hosts, or rest on a single feed or a reputation label, so they were not counted; no hunting rule / Safe-Browsing / IDS / credential form / brand impersonation either. Elevated risk rested on domain age or reputation alone; clamped from 7 to 5
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

Online

Scan Type

public

Domain Name Analysis

The domain name 'auth-login-user.web.app' uses the application-focused generic top-level domain (.app) with subdomain 'auth-login-user'. The second-level label 'web' is 3 characters long with 1 vowel and 2 consonants. Word splitting yields 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://auth-login-user.web.app/

Page Load Overview

1.75s
Total Load Time
2.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length: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
15199.36.158.100Fastly · 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.
3104.18.32.137Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
323.50.131.160Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
354.235.104.53Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
323.50.131.138Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3172.64.155.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
323.50.131.134Akamai · CDNFrankfurt am Main, Hesse, Germany
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

T10F51729E2C49C26D98376F5916C6B9144249FE2788388CED63AB2168C752FA01B5781F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:b1bco5uo5/oNZoagoGp6fl3MAV3pS2DGffF/J8oVQtj:BCPgp6fl3MA3pS2D0/JZQtj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2813:AAAAQAAgAQZgAgBAjAAAQAAAAoADQxBgGAAAgQAQwIkSCAkAAAAQQiAAABAsBEAAACAAAAIAgQAAAJAAAAAEZAQAABABAIwA

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