Security Scan Report: www.bellingham.org

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Submitted: Dec 11, 2025, 9:22:28 AMCompleted: Dec 11, 2025, 9:24:29 AMpubliccompleted
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Summary

This website contacted 84 IPs in 4 countries across 27 domains to perform 86 HTTP transactions. The main domain is bellingham.org and was registered NaN years ago.

Submitted URL: https://www.bellingham.org/whatcom-county-businesses-impacted-by-november-floods-can-now-apply-for-grant-assistance

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established municipal domain (bellingham.org)
No credential harvesting forms
No known malicious activity associated with the site
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

technology software

(57%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.bellingham.org' is registered; it also runs on subdomain 'www'. The second-level label 'bellingham' is 10 characters long with 3 vowels and 7 consonants. Segmentation suggests one word: bellingham. Median word length is 10 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bellingham.org/whatcom-county-businesses-impacted-by-november-floods-can-now-apply-for-grant-assistance

Page Load Overview

5.37s
Total Load Time
86
HTTP Requests
27
Domains
1.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:16,909 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software57% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
57%
social media network
30%
entertainment media
27%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
366.220.23.67United States
AS6939HURRICANE
123.212.215.73Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
123.213.161.15Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
163.35.143.71Dublin, Leinster, Ireland
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
154.157.3.115Ashburn, Virginia, United States
AS14618AMAZON-AES
152.208.76.107Dublin, Leinster, Ireland
AS16509AMAZON-02
1216.239.32.36United States
AS15169GOOGLE
167.43.15.203United States
AS32244LIQUIDWEB
152.17.86.125Dublin, Leinster, Ireland
AS16509AMAZON-02
8684--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C7E38532B091321F0B67C6F07391E71B958202D9AA812085F5EE877C3BD6D579CB91BB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JenafZU47+8Mvxp5HkzI3HgTUs249L591JoFH:MnafZh7+8Mvxp5EzmHgTUs2EL591JoFH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:155069:iGcAQ2MACyixhwocRUCYKABTAAQVUwcAUMVsHmUWUBB9YGsoiYgZQJEJAACCIqQrAAxMIE2QkBJPALICAJRVYh9VGIqgEEEg

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:000000ffffffffff
Perceptual Hash:ec0c72b7d2a54a8d
Difference Hash:363477f5203716a9
Wavelet Hash:00000030fffffffc
Color Hash:#87adc5

Scan History

Scan history not available

Unable to load historical scan data