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Security Scan Report: gaf-app.pages.dev

Redirected to:
https://governanceassurance.co.uk/app/
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Submitted: May 10, 2026, 4:43:18 AMCompleted: May 10, 2026, 4:45:08 AMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 9 HTTP transactions. The main domain is governanceassurance.co.uk and was registered NaN years ago.

Submitted URL: http://gaf-app.pages.dev/

Effective URL: https://governanceassurance.co.uk/app/Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

The site shows no malicious activity, forms, or brand impersonation; only minor concerns due to an unranked subdomain and redirects, resulting in a low‑risk rating.

Risk Factors
Unranked domain (gaf-app.pages.dev)
Subdomain on hosting platform with unknown age
Two-step redirect to a different domain
Safety Factors
No credential or payment collection fields
No malicious network or IDS alerts
Low JavaScript obfuscation score (standard minified code)
External resources are common CDNs (jsdelivr, Google Fonts)
Domain age information unavailable

Details

Page Title

Governance Quality Standard | The School Governance Assurance Framework

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(65%)

Domain Information

The domain 'gaf-app.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'gaf-app'. The second-level label 'pages' is 5 characters long split between two vowels and three consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://gaf-app.pages.dev/

Page Load Overview

1.50s
Total Load Time
14
HTTP Requests
5
Domains
500 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-GB
Text Length:682 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service65% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
65%
education learning
37%
adult content
37%
healthcare medical
36%
documentation technical
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6151.101.65.229United States
AS54113Fastly, Inc.
2142.251.13.95United States
AS15169Google LLC
2188.114.97.3United States
AS13335Cloudflare, Inc.
2188.114.96.3United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
145--

Detected Technologies2

jsDelivr
20%
JSZip
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ABE34B31B16520366833D0DDA74E416B3271B40BF94E9650B9AC72841FCEBE6B57B2F8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:STdrZjATWQbGqHmRZM1PGE0ZJE93Kgh42hCr7dRKV9SjY2N:2zQbGmmRZM1PGEg0NhhnV9SjY2N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:147980:EAk1ZJgmJnAIFkvUggAIMnCABAFBkKTUaAATghwIiBEQGEZMEQisaqUu6sohjAEqhBCYAGvhYDASaMAQWUwiEAiToEQBEKTg

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:00ffffffffffffff
Perceptual Hash:f878787878707878
Difference Hash:1000080800000000
Wavelet Hash:0000c0c0f0f0f0f0
Color Hash:#2d7e86

Other Hashes

Crop Resistant:0000080800000000,c040101060000080

Scan History

Scan history not available

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