Security Scan Report: failed-recipient-add.firebaseapp.com

Redirected to:
https://www.santander.co.uk/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 26 IPs in 4 countries across 18 domains to perform 87 HTTP transactions. The main domain is firebaseapp.com and was registered 14 years ago.

Submitted URL: https://failed-recipient-add.firebaseapp.com/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The final page is Santander's official site, but the entry Firebase subdomain is flagged for phishing and redirects to the bank, making the link itself risky.

Risk Factors (2)
Entry host failed-recipient-add.firebaseapp.com has a single-source phishing threat-intel match.
Cross-domain redirect from a flagged Firebase subdomain to a banking domain.
Safety Factors (5)
Final destination is Santander's official established domain, www.santander.co.uk.
No credential, password, or payment form fields are present on the rendered page.
No JavaScript malware, hunting rule, IDS, or credential exfiltration signals were detected.
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

You're looking at domain 'failed-recipient-add.firebaseapp.com' on the commercial generic top-level domain (.com) and includes subdomain 'failed-recipient-add'. The core label 'firebaseapp' covers 11 characters split between 5 vowels and six consonants. Breaking it apart gives three words: fire, base, app. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://failed-recipient-add.firebaseapp.com/

Page Load Overview

1.10s
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
12199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
395.101.23.81Akamai · CDNVienna, Vienna, Austria
AS20940Akamai International B.V.
323.50.131.138Akamai · CDNFrankfurt am Main, Hesse, 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.
323.50.131.154Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
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.
8726--

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