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Security Scan Report: northwood-pi.pages.dev

Redirected to:
https://northwood-pi.pages.dev/contact
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Submitted: Jul 13, 2026, 3:34:18 AMCompleted: Jul 13, 2026, 3:35:27 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is northwood-pi.pages.dev and was registered NaN years ago.

Submitted URL: https://northwood-pi.pages.dev/contact.html

Effective URL: https://northwood-pi.pages.dev/contactRedirected

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site hosts a self‑branded contact form that posts to an external service; lacking credential collection or malicious indicators, it is assessed as moderate risk.

Risk Factors
External form action to third‑party endpoint
Unknown subdomain age on a hosting platform
Unranked domain with no reputation
Safety Factors
No credential or payment fields present
No malicious JavaScript or network alerts
Self‑branding matches the subdomain name
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

Contact | Northwood & Associates

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(40%)

Domain Information

The domain name 'northwood-pi.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'northwood-pi'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus three consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://northwood-pi.pages.dev/contact.html

Page Load Overview

0.97s
Total Load Time
21
HTTP Requests
9
Domains
305 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:3,333 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
40%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
518.130.15.202Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
4188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.20.95Google · CDNUnited States
AS15169Google LLC
4104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
215--

Detected Technologies7

Open-Graph-Protocolvwebsite
100%
HTTP/3
40%
HSTS
40%
Cloudflare Bot Management
40%
Cloudflare
40%
jsDelivr
20%
cdnjs
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DFB2931296E0083E615742C0D771773E29B6E243EB5D2404BAAC1B79CF87FCDE92B694

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ltHk4mfkGfUQvDCLBfKdkDeJnqZXcgrctOXhPzPso:ltHk4mcOUQLLRn2c8cihPzPso

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23807:IRwuQSYDAyBCIARI0KRHgKBszggCiKTAFwFIcSQTUAIEDBKGJAEhCYMw2hQAhLuZAwHogQAuScA6XCpElAZMgEAImKoBB4BD

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:0000000000ffffff
Perceptual Hash:e60395bc5562c5e3
Difference Hash:9ecdc5c181201516
Wavelet Hash:00000000ffffffff
Color Hash:#ac6253

Other Hashes

Crop Resistant:9ecdc5c181201516,9e9e99e5c5c5c599

Scan History

Scan history not available

Unable to load historical scan data