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Security Scan Report: pressdailymirror.com

Redirected to:
https://pressdailymirror.com/star_th_1.htm
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/7f49c381-c02e-4191-b648-4c10da1d3d81Domain and IP registration (RDAP)/api/v1/rdap/7f49c381-c02e-4191-b648-4c10da1d3d81How often this domain was scanned/api/v1/domain/stats/pressdailymirror.comScan history for this domain/api/v1/domain/history/pressdailymirror.com?limit=15
This website contacted 5 IPs in 3 countries across 7 domains to perform 61 HTTP transactions. The main domain is pressdailymirror.com and was registered 10 months ago.

Submitted URL: http://pressdailymirror.com/star_th_1.htm

Effective URL:
https://pressdailymirror.com/star_th_1.htm
Redirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

New domain with no malicious activity detected; low risk.

Safety Factors (4)
Domain is brand new but does not collect sensitive data
No malicious Indicators of Compromise detected
No JavaScript malware detected
Page content appears to be a newspaper site with no phishing indicators
Domain age information unavailable

Details

Page Title

หนังสือพิมพ์ เพรส เดลิมิเร่อร์

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'pressdailymirror.com' is registered while skipping any subdomain. The core label 'pressdailymirror' covers 16 characters containing 5 vowels alongside 11 consonants. Breaking it apart gives 3 words: press, daily, mirror. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

‘Subscribe by RSS) "468 X.60. ib Seurant ype and nit ennar ‘Popular | Recent +€ommerits | Tags | aiis rts Tor Noxious “Agusta 3010, 8 Comments “Thansfioit’ fof Nokiciis Fly FIBHEES? apne HF “Aug...

Page Load Overview

4.25s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Text Length:4,784 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network99% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
99%
entertainment media
98%
government public service
97%
news media journalism
97%
corporate business
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13216.58.206.72United States
AS15169GOOGLE
12146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1274.125.29.95United States
AS15169GOOGLE
12119.59.104.12Thailand
AS56067453 Ladplacout Jorakhaebua
12172.66.0.227United States
AS13335CLOUDFLARENET
615--

Detected Technologies5

Google-AnalyticsvUniversal
100%
Google Analytics
35%
jQuery
20%
Twitter
20%
BuySellAds
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C213612629CC1D7B0303228AA564B78D316F4E71BB22E8D2F1FF152547D2F85A81796B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:6dGVv5etW6uDd4MnXxRfvH49NwLlkMNrNWuNtQLNWwNcmN5YcebOQX9tnx02Ng24:cGVv5wW7xHY7jyOULR8L6cCn6Xh8x/Of

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41621:JFwipCBDmZCIYMJAk5JoIjhWgheEioYAKVJACbh5AYIMATnKCAIkRGgHwEBKFgASDUqDZiaBgIk4KIpBljIiEcHcACIlwcQ0

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:00c3c7c787c7c7ff
Perceptual Hash:b24dcd331746526b
Difference Hash:24332f0f0f0f0f22
Wavelet Hash:0081c78787c7c3ff
Color Hash:N/A

Other Hashes

Crop Resistant:24332f0f0f0f0f22,010121c4c4310101,00028470708e1000,134d271737597333,4d4d9e979f8be2d2,66020e0e3cb15329

Scan History

Scan history not available

Unable to load historical scan data