Security Scan Report: ee-payment-pending.web.app

Redirected to:
https://ee.co.uk/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 62 IPs in 3 countries across 52 domains to perform 274 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://ee-payment-pending.web.app/

Effective URL:
https://ee.co.uk/
Redirected

AI Security Verdict

High Risk

Confidence: 72%

8
Risk Score

Phishing-shaped EE payment subdomain on web.app, flagged as a wallet drainer by threat intel; it redirected to the real ee.co.uk site, so no harvest was observed, but the entry domain itself is malicious infrastructure.

Risk Factors (4)
Phishing-shaped subdomain impersonating EE's payment flow on a free web.app tenant created at an unknown time
Single-source threat-intel report naming the domain as a wallet drainer (phishing)
Redirect from the flagged entry domain to the legitimate brand site suggests evasion rather than a benign redirect service
Hosting-platform subdomain with no attributable registration age
Domain age information unavailable

Details

Page Title

EE

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'ee-payment-pending.web.app' is registered, featuring subdomain 'ee-payment-pending'. The core label 'web' covers 3 characters split between one vowel and 2 consonants. Word splitting yields 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

Switch to Business ¥ 8 Phones SIM-only Broadband ¥ Rewards Privacy preference centre Cookies ond simifar technofogies allow bits of information to be read from and/or placed onto your device wh...

Page Load Overview

0.33s
Total Load Time
6.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:13 chars
Detector Agreement:0%

Website Classification

Primary Category

technology software68% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
68%
documentation technical
47%
corporate business
43%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9145.60.72.23Incapsula · WAFUnited States
AS19551Incapsula Inc
3223.52.181.12Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
2234.110.200.92Google · CDNKansas City, Missouri, United States
AS396982Google LLC
12172.64.155.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
11199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
945.60.65.23Incapsula · WAFUnited States
AS19551Incapsula Inc
918.64.211.107Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
63.33.148.132Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5216.239.34.36Google · CDNUnited States
AS15169Google LLC
5104.20.36.146Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
27462--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1575151AE3C44C168BC366F0A52D8F4184699FF27A93C8CEE73A71159C342FE5561A81F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:bubcosoaoZvo4oGp6fl3MAV3pS2DGffF/JC9j:Sxpp6fl3MA3pS2D0/JC9j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2797:gY5AAAgEIAIAACAIAkAAEAQBCAEARASACQAQMACRHAEIAAAEAAAFEABWgBgAAAAEAAAAACABNwIMgQAQCMAFAABAEACAACAI

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:bd18189999999800
Perceptual Hash:cc99a68cb3e63926
Difference Hash:73f033333333234f
Wavelet Hash:fd1899999999b981
Color Hash:0e0080c0040

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data