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Security Scan Report: dailyastorian.com

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Submitted: Dec 24, 2025, 2:30:19 AMCompleted: Dec 24, 2025, 2:34:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is dailyastorian.com and was registered NaN years ago.

Submitted URL: https://dailyastorian.com/2025/12/22/letter-practice-john-waynes-kind-of-good-manners/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns identified; site appears legitimate.

Safety Factors
Well‑established domain
No forms or sensitive data collection
No malicious Indicators of Compromise
No phishing indicators detected
Domain age information unavailable

Details

Page Title

Letter: Practice John Wayne’s kind of good manners | The Astorian

Scan Type

public

Language

🇧🇩

BN

(100% confidence)

Category

cryptocurrency blockchain

(70%)

Domain Information

The domain name 'dailyastorian.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'dailyastorian' spans 13 characters holding 6 vowels versus 7 consonants. Breaking it apart gives three words: daily, astoria, n. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dailyastorian.com/2025/12/22/letter-practice-john-waynes-kind-of-good-manners/

Page Load Overview

244.04s
Total Load Time
7
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:15,574 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain70% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
70%
technology software
65%
healthcare medical
63%
finance banking
62%
documentation technical
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7192.0.66.167San Francisco, California, United States
AS2635AUTOMATTIC
71--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T174B3DAE5999C203B465A31C4626DF30CE7AAA123DF089D91B3FCB65C9BC1FE559B210C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lUvl95S/4hyZZxoypZuuDiOwyIcSXhY/+rlSCDKXik8YfI0rN8S:Wvlth6ZTfiOIcSfJSJXik8YfhrNR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109952:goUQAupIDQjEYXgQ4IKYJAHiEkjq+IEyCiBYPoZYwoACpoEoDIrUAAMCJAkCSAQVVeJBEABDyRR7AQfkkTpUiEEwIMAQIetC

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:00fffbfbcbcff3f3
Perceptual Hash:ed126d126d6d126d
Difference Hash:0700160212181212
Wavelet Hash:00fef2f38383c3c3
Color Hash:#77d22d

Scan History

Scan history not available

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