Security Scan Report: phbuffers.org

Submitted: Dec 29, 2025, 1:16:32 PMCompleted: Dec 29, 2025, 1:17:47 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 33 HTTP transactions. The main domain is phbuffers.org and was registered NaN years ago.

Submitted URL: https://phbuffers.org

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Personal academic site with no security concerns.

Safety Factors
Established domain age (>4 years)
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
No suspicious redirects or external domains
Domain age information unavailable

Details

Page Title

Professor Rob Beynon

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

blog personal website

(31%)

Domain Information

The domain 'phbuffers.org' uses the non-profit oriented generic top-level domain (.org). The core label 'phbuffers' covers 9 characters split between 2 vowels and 7 consonants. Word splitting yields two words: ph, buffers. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://phbuffers.org

Page Load Overview

1.72s
Total Load Time
42
HTTP Requests
6
Domains
2.5 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:4,505 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website31% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

blog personal website
31%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10146.75.120.157Sweden
8172.66.0.227United States
8142.250.185.168France
892.205.14.106Strasbourg, Grand Est, France
AS21499Host Europe GmbH
8104.18.11.207UnknownUnknown
425--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10FB28622C6151A2B827345D9F2FB734731DE864FF2218D80B7FC067C2BC9D69A54A35A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7RRGF6CEulzWaQBuguh+GpUeHG5cMyOZoadko14TsuD2wzvHu/pWoNsLSz15C25h:77GF6CE2LhHtaKs3BkHer

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25608:DCgGNAM+yjiwI0CF0NIBSASORaMhCMJlDwBiAgJXCJAsAJAB5SAAQgAABQ1go6bCewAA6NILqjhUBAAMOLB5QEfAAIflg5AK

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:c3f1ffe7e7a7e7f7
Perceptual Hash:e699c93699269993
Difference Hash:2b67dcc4cc2ccce4
Wavelet Hash:00707e6666077777
Color Hash:#c58787

Scan History

Scan history not available

Unable to load historical scan data