Security Scan Report: thebamabuzz.com

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Submitted: Nov 4, 2025, 3:47:30 PMCompleted: Nov 4, 2025, 3:50:25 PMpubliccompleted
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Summary

This website contacted 48 IPs in 2 countries across 20 domains to perform 140 HTTP transactions. The main domain is thebamabuzz.com and was registered NaN years ago.

Submitted URL: https://thebamabuzz.com/jeff-bezos-ex-gifts-38m-to-alabama-state-university-largest-in-history/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
No credential or payment collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Jeff Bezos ex gifts $38M to Alabama State University - largest in history | The Bama Buzz

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(100%)

Domain Information

You're looking at domain 'thebamabuzz.com' on the commercial generic top-level domain (.com) with no subdomain. Count 11 characters in 'thebamabuzz' with 4 vowels and seven consonants. Segmentation suggests 3 words: the, bam, abuzz. Median word length comes out to three characters. 'the' is most common in Chinese (Pinyin) usage. It also appears in English and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://thebamabuzz.com/jeff-bezos-ex-gifts-38m-to-alabama-state-university-largest-in-history/

Page Load Overview

2.01s
Total Load Time
140
HTTP Requests
20
Domains
2.4 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-US
Text Length:2,377 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog100% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
100%
corporate
70%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
86192.124.249.28Menifee, California, United States
AS30148SUCURI-SEC
15192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
6216.239.32.36United States
AS15169GOOGLE
6172.64.151.51United States
AS13335CLOUDFLARENET
6157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
4192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
3142.250.181.232United States
AS15169GOOGLE
2142.250.185.200United States
AS15169GOOGLE
2104.21.18.102United States
AS13335CLOUDFLARENET
2172.67.181.147United States
AS13335CLOUDFLARENET
14048--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC444B77A31C043E9A1B43D8E669B33CE12DA633DB0255C1F9EE905887F9DFA101664E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ttjlTmEZQfel6QnY+bb7BHDGUw/8ssVPK4QHJqP7TqD4fjhoct1+QD4QPIqYo:bY+bbEA7TtYo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:255496:KANYVBAHgNCxYIAFBLcLNwIkjhUILyiRoBFpQCADC4hBQMCHhgUKHgYpEw4618a0Q48oEKAOBdUGkKwoDgih6sECCxCuF24A

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:ffffe7c3c3c3c3ff
Perceptual Hash:e5929a6dc73286c6
Difference Hash:0c360d0e96969614
Wavelet Hash:2682c783c3c3c3ef
Color Hash:#783a6f

Scan History

Scan history not available

Unable to load historical scan data