Security Scan Report: failed-recipient-add.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 89 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

Phishing-typed threat-intel hit on the free-host entry URL, which redirects into Santander's real site. No forms or malware on the rendered page, but do not trust the link — reach the bank directly.

Risk Factors (3)
Single-source phishing threat-intel match on the entry domain (unverified community submission)
Deceptive, phishing-style hostname on anonymous shared hosting with unknown subdomain age
Multi-hop cross-domain redirect funnel from untrusted free hosting into a bank login destination
Safety Factors (5)
Final destination www.santander.co.uk is the brand owner's own established domain (ranked in Cisco Umbrella top 1M)
No credential, password or payment fields in the captured DOM
No hunting rule malware, native-hunting rule, kit-roster or Suricata IDS alerts
Cross-origin requests (OneTrust consent CDN, Adobe/analytics) are standard for a bank site
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

The domain name 'failed-recipient-add.web.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'failed-recipient-add'. The core label 'web' covers 3 characters split between one vowel and 2 consonants. Splitting it apart reveals one word: web. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.51s
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

corporate business41% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

corporate business
41%
finance banking
41%
adult content
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
32.19.120.78Akamai · CDNDüsseldorf, North Rhine-Westphalia, Germany
AS20940Akamai International B.V.
3192.178.183.94Google · CDNUnited States
AS15169Google LLC
323.52.181.12Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3172.64.155.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
32.19.120.96Akamai · CDNDüsseldorf, North Rhine-Westphalia, Germany
AS20940Akamai International B.V.
3146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3107.21.166.65Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
32.19.120.85Akamai · CDNDüsseldorf, North Rhine-Westphalia, Germany
AS20940Akamai International B.V.
3142.251.154.120Google · CDNUnited States
AS15169Google LLC
8927--

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

Scan History

Scan history not available

Unable to load historical scan data