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

Redirected to:
https://www.santander.co.uk/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 24 IPs in 3 countries across 17 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: 70%

5
Risk Score

Entry URL is a single-source phishing-flagged Firebase redirector that lands on the official Santander UK site; the final page itself shows no credential or payment harvesting, but the redirect link is untrustworthy.

Risk Factors (3)
Entry domain failed-recipient-add.web.app is reported as phishing by a single unverified community source.
A suspicious cross-domain redirect chain runs from a free Firebase hosting subdomain to a bank site.
The entry hostname 'failed-recipient-add' on shared hosting is inconsistent with the final banking destination and its actual creation date is unknown.
Safety Factors (6)
The final destination is the official www.santander.co.uk, the brand owner, not a lookalike domain.
No credential or payment forms are present on the rendered page.
No hunting rule malware patterns, IDS alerts, malicious kit roster matches, or cross-origin credential exfiltration were found.
External scripts are typical analytics, consent, and marketing services used by a legitimate bank site.
The scanner/client content mismatch matches ordinary banking bot protection rather than a phishing-specific signal.
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
Domain age information unavailable

Details

Page Title

Online

Scan Type

public

Domain Name Analysis

Domain 'failed-recipient-add.web.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'failed-recipient-add'. Count 3 characters in 'web' split between one vowel and 2 consonants. Word splitting yields one word: web. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.60s
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
19199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
323.50.131.154Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3192.178.183.94Google · CDNUnited States
AS15169Google LLC
323.50.131.138Akamai · 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.
3172.64.155.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
323.50.131.160Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.50.131.134Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
8824--

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:N/A

Scan History

Scan history not available

Unable to load historical scan data