Security Scan Report: update-your-details.homeoffice.gov.uk

Redirected to:
https://www.gov.uk/evisa/update-ukvi-account
Site favicon
Submitted: Completed: publiccompleted
This website contacted 8 IPs in 3 countries across 7 domains to perform 23 HTTP transactions. The main domain is homeoffice.gov.uk and was registered 25 years ago.

Submitted URL: https://update-your-details.homeoffice.gov.uk

Effective URL:
https://www.gov.uk/evisa/update-ukvi-account
Redirected

The Cisco Umbrella rank of the primary domain is #119,868 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Official GOV.UK eVisa/UKVI account guidance page reached via a genuine homeoffice.gov.uk subdomain redirect. No forms collecting credentials or payment, no malware or threat-intel hits — legitimate government resource.

Safety Factors (5)
Redirect terminates on the brand owner's own established domain (www.gov.uk)
Government (.gov.uk) domain with long registration history
No credential-harvesting, payment, or disguised fields present
No malicious JavaScript, IoCs, or network IDS alerts
Only standard cookie-consent, search and feedback forms
Domain age information unavailable

Details

Page Title

eVisas: access and use your online immigration status: Update your details in your UKVI account - GOV.UK

Scan Type

public

Domain Name Analysis

The domain name 'update-your-details.homeoffice.gov.uk' uses the United Kingdom country-code top-level domain (.gov.uk); it also runs on subdomain 'update-your-details'. The core label 'homeoffice' covers 10 characters holding 5 vowels versus five consonants. It segments into two words: home, office. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://update-your-details.homeoffice.gov.uk

Page Load Overview

1.55s
Total Load Time
545 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,864 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
83%
news media journalism
79%
government
48%
news/blog
35%
corporate
35%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9146.75.120.144Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
23.160.150.68Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.160.150.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
2216.239.32.36Google · CDNUnited States
AS15169Google LLC
2142.251.127.155Google · CDNUnited States
AS15169Google LLC
254.154.149.240Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
238--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4935060A1F2513500BF31ABE631AB15A5B3C307978167F23EBC865C4FE1A57AE1F248

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Cehc2NQtSkbkuP0cZlEpB3A9Gtxh81SXGbk8VC9EfdlwKTamOQCe4UAxhjtFz9F+:CWAIxw9G/WQ1NxhjtFz9FzpA7L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94733:1AIAG5gCPRpWQ8ApmKSgFLqYIGRZAAgISq3BJewrBCAJkAgiwhwFAQghShoMsAsW5mJdeWSEvbAEwDC4jUo0iISBkTFJQDFk

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:df00cfcfffcfcfdf
Perceptual Hash:b8461ecccdb0b3c3
Difference Hash:bc35191e361e3c18
Wavelet Hash:0000c7c7cbc7cfcf
Color Hash:#931f31

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data