Security Scan Report: lead-online.co.uk

Redirected to: https://login.microsoftonline.com/4e6404ca-c8c1-4236-9c2c-22845a98a473/saml2?SAMLRequest=jVJda9swFP0rRu%2ByLVtJbJEE0oaxQLeFJt3DXsaNfN2I2pKnK5ft38%2Bx15FSVvYmrs6554O7JGibTm36cLb3%2BKNHCtHPtrGkxo8V671VDsiQstAiqaDVYfPpTmVxqjrvgtOuYVeU9xlAhD4YZ1m0267Y91qeinKRF%2BkMixqxrDVKIfNZCfPFLM9Teapgkeq6Klj0FT0NzBUbFg10oh53lgLYMIzSbM7TjAtxTIUSQuXyG4u2QxpjIYyscwgdqSRp3KOxcWu0d%2BTq4GxjLMbatYnEuUylBq4LLbjM8jkvdaZ5lhVyBmUBcpEnl4wZizYvQW6dpb5Ff0D%2FbDQ%2B3N9dSSFU%2FK9A3D8lMPQ8rUiomx4cNMXduXuLZtH%2BT8E3xlbGPr7f7WkCkfp4PO75%2FsvhyNbLi4Qau%2FLr%2F7XVYoAKAlxcLZPrDcvpWj4P2rvt3jVG%2F4o%2BON9C%2BLc1EYtxYipej1DVW%2BpQm9pgxZL1pPD6BNe%2FAQ%3D%3D&RelayState=https%3A%2F%2Flead-online.co.uk%2Fauth%2Fsaml2%2Flogin.php%3Ftenanttheme%3Dhih%26group%3Dsouthern&SigAlg=http%3A%2F%2Fwww.w3.org%2F2001%2F04%2Fxmldsig-more%23rsa-sha256&Signature=N771t%2BMehFxrOSBGrlQ4pqFU0kBe%2BpAfmgpq%2Fe79CpnZz0ZaNiT6ocppgVz9yCLxV7%2B4IeeFe%2FyBD0p4Sw3gwCKTKsu14gaKU3NKqgcNhRZYlSEyEypX3snnFEAg7RRBw9ZzEKM9%2FTAQwjlArknfcNDq6oCTVymLEivqj9x4Qpuf3YSGwZD3V%2Fw2z%2Fi3sUoyxQO0BsiYinHXFeCWhrZB17kYU%2FJBdQF627TGMN2PvuDrSNYzgnUyQZVAhVBLaU3H%2BOUzwuMslunaITjMScBxOGgX%2BMLaDKTnm5R1feD1cU%2BW4asH3X4N9BogRU%2F1t6cGvBptHccy0T%2BH%2FLvMjD3oDQ%3D%3D&sso_reload=true

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Submitted: Feb 11, 2026, 1:11:30 AMCompleted: Feb 11, 2026, 1:12:46 AMpubliccompleted
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Summary

This website contacted 7 IPs in 4 countries across 4 domains to perform 9 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://lead-online.co.uk/auth/saml2/login.php?tenanttheme=hih&group=southern

Effective URL: https://login.microsoftonline.com/4e6404ca-c8c1-4236-9c2c-22845a98a473/saml2?SAMLRequest=jVJda9swFP0rRu%2ByLVtJbJEE0oaxQLeFJt3DXsaNfN2I2pKnK5ft38%2Bx15FSVvYmrs6554O7JGibTm36cLb3%2BKNHCtHPtrGkxo8V671VDsiQstAiqaDVYfPpTmVxqjrvgtOuYVeU9xlAhD4YZ1m0267Y91qeinKRF%2BkMixqxrDVKIfNZCfPFLM9Teapgkeq6Klj0FT0NzBUbFg10oh53lgLYMIzSbM7TjAtxTIUSQuXyG4u2QxpjIYyscwgdqSRp3KOxcWu0d%2BTq4GxjLMbatYnEuUylBq4LLbjM8jkvdaZ5lhVyBmUBcpEnl4wZizYvQW6dpb5Ff0D%2FbDQ%2B3N9dSSFU%2FK9A3D8lMPQ8rUiomx4cNMXduXuLZtH%2BT8E3xlbGPr7f7WkCkfp4PO75%2FsvhyNbLi4Qau%2FLr%2F7XVYoAKAlxcLZPrDcvpWj4P2rvt3jVG%2F4o%2BON9C%2BLc1EYtxYipej1DVW%2BpQm9pgxZL1pPD6BNe%2FAQ%3D%3D&RelayState=https%3A%2F%2Flead-online.co.uk%2Fauth%2Fsaml2%2Flogin.php%3Ftenanttheme%3Dhih%26group%3Dsouthern&SigAlg=http%3A%2F%2Fwww.w3.org%2F2001%2F04%2Fxmldsig-more%23rsa-sha256&Signature=N771t%2BMehFxrOSBGrlQ4pqFU0kBe%2BpAfmgpq%2Fe79CpnZz0ZaNiT6ocppgVz9yCLxV7%2B4IeeFe%2FyBD0p4Sw3gwCKTKsu14gaKU3NKqgcNhRZYlSEyEypX3snnFEAg7RRBw9ZzEKM9%2FTAQwjlArknfcNDq6oCTVymLEivqj9x4Qpuf3YSGwZD3V%2Fw2z%2Fi3sUoyxQO0BsiYinHXFeCWhrZB17kYU%2FJBdQF627TGMN2PvuDrSNYzgnUyQZVAhVBLaU3H%2BOUzwuMslunaITjMScBxOGgX%2BMLaDKTnm5R1feD1cU%2BW4asH3X4N9BogRU%2F1t6cGvBptHccy0T%2BH%2FLvMjD3oDQ%3D%3D&sso_reload=trueRedirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Phishing page impersonating Hampshire and Isle of Wight Healthcare; do not enter credentials.

Risk Factors
Brand impersonation on unrelated domain
Login form collecting credentials
Domain not in top 1M (low reputation) and unrelated to brand
Mismatch between displayed brand and final destination URL
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'lead-online.co.uk' on the United Kingdom country-code top-level domain (.co.uk) and has no subdomain. Count 11 characters in 'lead-online' with 5 vowels and five consonants; bonus characters include one hyphen. Breaking it apart gives two words: lead, online. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lead-online.co.uk/auth/saml2/login.php?tenanttheme=hih&group=southern

Page Load Overview

6.33s
Total Load Time
9
HTTP Requests
4
Domains
95 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:109 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
320.190.181.1Sweden
AS8075Microsoft Corporation
140.126.32.138Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
123.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.207.210.137Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
120.190.160.2Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
120.190.160.22Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
118.134.212.111City of London, England, United Kingdom
AS16509Amazon.com, Inc.
97--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B734BE97EA61937828A44B2B9BA7E025F3A5943480CCD64F19CCD882FFB71D8137553

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DY8GLGGwf1ZmgIyEk77gx2xpTvPoMBArnEcHWiyC:88DNZS32RAWC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78497:CBasX4BFBwEiNIBAgkSBmwHACp0ErEAIvjEg8AW6kYUmCEPQALOOJdHEaAAg0JGgI1QBsKUAoxQsAB4QDk4DBEgEgUABAjuB

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:ffffe7e7e3e7ffff
Perceptual Hash:e691996666993366
Difference Hash:00001808050c0000
Wavelet Hash:f0f0e4e424240c0c
Color Hash:#c587a5

Other Hashes

Crop Resistant:00001808050c0000

Scan History

Scan history not available

Unable to load historical scan data