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Security Scan Report: bloomberg.com

Redirected to: https://www.bloomberg.com/authors/AD8PxHnr0Mk/jeff-green

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Submitted: Oct 22, 2025, 2:50:44 AMCompleted: Oct 22, 2025, 2:53:44 AMpubliccompleted
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Summary

This website contacted 36 IPs in 2 countries across 17 domains to perform 109 HTTP transactions. The main domain is bloomberg.com and was registered NaN years ago.

Submitted URL: https://bloomberg.com/authors/AD8PxHnr0Mk/jeff-green

Effective URL: https://www.bloomberg.com/authors/AD8PxHnr0Mk/jeff-greenRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Bloomberg author page with no security concerns.

Safety Factors
Well‑established domain with decades of history
Official Bloomberg brand domain
No suspicious external links or redirects
No collection of sensitive data
Domain age information unavailable

Details

Page Title

Bloomberg - Are you a robot?

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(85%)

Domain Information

Within the commercial generic top-level domain (.com), 'bloomberg.com' is registered with no subdomain. The core label 'bloomberg' covers 9 characters with three vowels and six consonants. Word splitting yields one word: bloomberg. The linguistic tilt is English for 'bloomberg'. Usage also turns up in Basque and Indonesian contexts. Net impression: English phrase with single-word simplicity.

Screenshot

Security scan screenshot of https://bloomberg.com/authors/AD8PxHnr0Mk/jeff-green

Page Load Overview

1.26s
Total Load Time
109
HTTP Requests
17
Domains
2.0 MB
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:6,033 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network85% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
85%
technology software
82%
corporate business
69%
government public service
52%
news media journalism
47%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
59146.75.121.73Frankfurt am Main, Hesse, Germany
AS54113FASTLY
13143.204.98.10United States
AS16509AMAZON-02
93.135.105.56Columbus, Ohio, United States
AS16509AMAZON-02
6162.247.243.29United States
AS54113FASTLY
418.119.60.45Columbus, Ohio, United States
AS16509AMAZON-02
434.128.128.0Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3143.204.98.36United States
AS16509AMAZON-02
3104.18.32.146United States
AS13335CLOUDFLARENET
33.130.187.158Columbus, Ohio, United States
AS16509AMAZON-02
3172.217.23.106United States
AS15169GOOGLE
10936--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T157842C266395243373270696F47FBA0DF282B17787528CB8FB6C8D185762CD221259BF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:6mk79kCwVb8lh2u1WT50mFu+fV1yJH0g6iATqzrrQqWUoLS5HApD+urvbpp4OLK/:6mokCwVHu1WT50mFu+fV1yJH0g6iATqf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:383213:A4DQCTSUiAip0xiAMAAAWXiIBrCyYvyAhJsXRSCqAJi0PjAAshSAOgMEgAIMkFggYxBNLjHgsgAAgRHJCBERUMsgAmEAkZjg

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:003c3c18183c3c00
Perceptual Hash:994d66267167b664
Difference Hash:447171f0f071699b
Wavelet Hash:003c3c3c3cbfbdc1
Color Hash:#9479d2

Other Hashes

Crop Resistant:93b3babaf0c2b62d,447171f0f071699b

Scan History

Scan history not available

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