Security Scan Report: www.bax.org

Submitted: Completed: publiccompleted
This website contacted 17 IPs in 2 countries across 9 domains to perform 58 HTTP transactions. The main domain is bax.org and was registered 27 years ago.

Submitted URL: https://www.bax.org/diana-taylor/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Brooklyn Arts Exchange article page about faculty member Diana Taylor. Established 27-year domain, self-branded, no forms, no threat-intel or malware signals.

Safety Factors (5)
27-year-old established domain
Physical address visible (421 5th Avenue, Brooklyn, NY 11215)
Self-branding matches domain — no impersonation of another entity
All third-party scripts are standard, well-ranked analytics/font/accessibility hosts
No forms collecting credentials or payment data
Domain age information unavailable

Details

Page Title

Diana Taylor, Guest Faculty 2009–13 | Brooklyn Arts Exchange

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.bax.org' on the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. The registrable portion 'bax' spans 3 characters split between 1 vowel and two consonants. Segmentation suggests one word: bax. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bax.org/diana-taylor/

Page Load Overview

2.71s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:1,728 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
corporate
35%
entertainment media
31%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1035.208.133.73Google · CDNCouncil Bluffs, Iowa, United States
AS15169Google LLC
3142.251.110.97Google · CDNUnited States
AS15169Google LLC
3142.251.110.95Google · CDNUnited States
AS15169Google LLC
379.127.216.203Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
3216.239.34.36Google · CDNUnited States
AS15169Google LLC
3142.251.20.94Google · CDNUnited States
AS15169Google LLC
3142.251.151.119Google · CDNUnited States
AS15169Google LLC
3142.251.20.149Google · CDNUnited States
AS15169Google LLC
354.212.181.162Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
5817--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C9F3F89F57B6307933078365F8A1B32896AC9113EF061DE5BDB9D2B88BC279201B315D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:7N8AxEagnTd2eDAolS1VEHITRmz4MVsNL43vpkpmy4rAf:7N8TTdLMH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:171124:FTiVUk9JAeIkIeUR0KEkIgoKcmDAAguFxUkS8AQg+CRlACIEYiDL9mwEAgwhkVDR6CM7gF4ohApwKAQeBgLESULZK4BDSdQc

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:ffffd3c3c3c3c3c3
Perceptual Hash:b5ced38314ba4d2a
Difference Hash:c836363616161616
Wavelet Hash:7ffb83838383c382
Color Hash:06e00000000

Scan History

Scan history not available

Unable to load historical scan data