Security Scan Report: www.timesheraldonline.com

Submitted: Nov 14, 2025, 8:01:29 PMCompleted: Nov 14, 2025, 8:03:24 PMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 3 HTTP transactions. The main domain is timesheraldonline.com and was registered NaN years ago.

Submitted URL: https://www.timesheraldonline.com/author/jeff-burkhart/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate author page with no security concerns.

Safety Factors
Long‑standing reputable domain (timesheraldonline.com)
No suspicious forms or data collection
No malicious Indicators of Compromise detected
Content appears to be a standard author profile
Domain age information unavailable

Details

Page Title

Jeff Burkhart – Times Herald Online

Scan Type

public

Language

🇧🇩

BN

(100% confidence)

Category

cryptocurrency blockchain

(71%)

Domain Information

The domain 'www.timesheraldonline.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The core label 'timesheraldonline' covers 17 characters holding 7 vowels versus ten consonants. Tokenizing the label suggests 3 words: times, herald, online. Median word length is 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.timesheraldonline.com/author/jeff-burkhart/

Page Load Overview

30.12s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:100%
Script Type:Unknown
Text Length:12,961 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain71% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
71%
technology software
64%
healthcare medical
63%
finance banking
63%
documentation technical
59%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3192.0.66.2UnknownUnknown
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18CD3B8B219CC303E120365D6E048A659F2F78876DF5998D2B3EE5B18DFC2F59266213C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:cfsJPEdoxQU+RSTvhI91yhfkbZyqHzEN8vjp3mLjMVk+:Zw1ZxETA1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:140918:XagIUSiAIaFQQgEoaCGiFhhkH0OyAGW+CKKBAxAGMBERqRmKolAgAQGIYpTDZAEZ0hQDTQByibpQETZQICMCpZAiUtBAZwAw

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:64c3ffff9f879f8f
Perceptual Hash:9ec25f725ac2521e
Difference Hash:cd1628c0342c707c
Wavelet Hash:2000feff9f838f82
Color Hash:#d27992

Other Hashes

Crop Resistant:cd1628c0342c707c

Scan History

Scan history not available

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