Security Scan Report: keats.kcl.ac.uk

Redirected to:
https://login.microsoftonline.com/emckclac.onmicrosoft.com/oauth2/auth...
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Submitted: Jul 10, 2026, 7:09:55 PMCompleted: Jul 10, 2026, 7:11:04 PMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 7 domains to perform 31 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://keats.kcl.ac.uk

Effective URL: https://login.microsoftonline.com/emckclac.onmicrosoft.com/oauth2/authorize?response_type=code&client_id=e0bb2c54-bf33-45dd-ad05-f1e5c6b3e329&scope=openid%20profile%20email&nonce=N6a514385d049c&response_mode=form_post&state=4RKF70UEgT7D9M2&redirect_uri=https%3A%2F%2Fkeats.kcl.ac.uk%2Fauth%2Foidc%2F&resource=https%3A%2F%2Fgraph.microsoft.com&sso_reload=trueRedirected

The Cisco Umbrella rank of the primary domain is #137,944 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 82%

2
Risk Score

The page appears to be a legitimate university SSO login; no concrete malicious signals detected.

Risk Factors
Critical JavaScript obfuscation score (likely due to minified code)
Low Cisco Umbrella ranking (rank 137,944) – typical for institutional subdomains
Safety Factors
Established domain age and reputable institution
Form action points to official Microsoft authentication service
No credential exfiltration observed
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Domain 'keats.kcl.ac.uk' uses the United Kingdom country-code top-level domain (.ac.uk) and includes subdomain 'keats'. The registrable portion 'kcl' spans 3 characters split between 0 vowels and 3 consonants. Splitting it apart reveals one word: kcl. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://keats.kcl.ac.uk

Page Load Overview

1.49s
Total Load Time
31
HTTP Requests
7
Domains
1004 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:503 chars
Detector Agreement:67%

Website Classification

Primary Category

education45% confidence
Type: webapp
Method: ml+structural

All Detected Categories

education
45%
technology software
40%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
413.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
368.219.62.170Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
32.16.241.224Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
320.190.160.20Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
323.207.210.136Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
340.126.32.133Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
340.126.32.138Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
340.126.31.0Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
320.190.160.65Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
323.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3110--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D836CDA7EB6193B828641B5B4B96E026B3A5807884CDD70F55CCC883FFA78D8177613

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FI8GLG21FvHoYoaIZ9Tjuokmap5vPoMLufy0HxDi95C:O8oFvIYqa/Ak5C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:82054:gACPD5qBlQwhExTkAjGZAGg8NCohKjDIJIRRiWgqMRrAFhwEwTAjAGSANPEEACYfdqBAMAABYAEDFh89AWoZVCKw0AHiOUCQ

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:1f18181818181800
Perceptual Hash:988923d226e6eef2
Difference Hash:f4b2b2b2b032b2d6
Wavelet Hash:ff7f3f781c181800
Color Hash:#783a4a

Scan History

Scan history not available

Unable to load historical scan data