Security Scan Report: failed-recipient-add.web.app

Redirected to:
https://www.santander.co.uk/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 25 IPs in 3 countries across 18 domains to perform 88 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://failed-recipient-add.web.app/

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

AI Security Verdict

Moderate Risk

Confidence: 65%

5
Risk Score

Capture ends on the genuine Santander UK site with no credential or payment forms and no malware signals; risk rests only on an unverified single-source phishing report against the anonymous web.app redirector that led there.

Risk Factors (3)
Entry URL is an unranked, anonymous free-hosting subdomain reported (single source, unverified) as phishing
Redirect chain funnels users from a throwaway-looking host to a bank login destination, which is a known lure technique when the entry host is attacker-controlled
Entry subdomain's true creation date is unknown and not attributable to the hosting platform's 2003 registration
Safety Factors (5)
Final destination www.santander.co.uk is the brand's own established domain, not a lookalike — the brand question is settled as no impersonation
Captured page contains no password, disguised-password, or payment fields and no cross-origin credential submission
No JavaScript malware patterns, no kit-roster matches, no high-precision hunting-rule hits, no IDS alerts
Script hosts and page assets (Adobe, OneTrust, LaunchDarkly, santander.co.uk) are standard for a bank site
Verdict names no specific threat, and DOM analysis found no password field (real or disguised) or payment field and no other hard signal — elevated score unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

Online

Scan Type

public

Domain Name Analysis

The domain 'failed-recipient-add.web.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'failed-recipient-add'. The second-level label 'web' is 3 characters long with one vowel and two consonants. Splitting it apart reveals 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://failed-recipient-add.web.app/

Page Load Overview

1.19s
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

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
1423.50.131.138Akamai · 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.
823.50.131.154Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3192.178.183.94Google · CDNUnited States
AS15169Google LLC
323.50.131.160Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
354.208.20.4Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
323.50.131.134Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
354.145.86.201Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
8825--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E251745E2C84C068A8373F4655C4F4588688FF67693CDCEE63AB1129C352FB11A1781F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:b1brRousvouoUJoaZoGp6fl3MAV3pS2DGffF/JHs5Auj:Bls1Zp6fl3MA3pS2D0/JHsOuj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2884:ACCAICAkBAAABABggAAAAACAgAAAgABAoCAAAIARCMEAgACEEAggACAAEEQhAgCAAAAgMAogMQEAAAFAiAgAAAQAAgABIQAA

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