Security Scan Report: meidasnews.com

Submitted: Nov 19, 2025, 9:36:46 PMCompleted: Nov 19, 2025, 9:40:34 PMpubliccompleted
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Summary

This website contacted 21 IPs in 2 countries across 4 domains to perform 8 HTTP transactions. The main domain is meidasnews.com and was registered NaN years ago.

Submitted URL: https://meidasnews.com/tag/abby-phillip

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Site appears legitimate with no detectable security threats.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No forms collecting sensitive data
No external links or redirects
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

meidasnews.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'meidasnews.com' on the commercial generic top-level domain (.com) and has no subdomain. Count 10 characters in 'meidasnews' holding 4 vowels versus six consonants. Segmentation suggests 3 words: mei, das, news. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://meidasnews.com/tag/abby-phillip

Page Load Overview

0.22s
Total Load Time
8
HTTP Requests
4
Domains
33 KB
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:14 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8151.101.194.98San Francisco, California, United States
AS54113FASTLY
313.32.99.43New York, New York, United States
AS16509AMAZON-02
2151.101.66.98San Francisco, California, United States
AS54113FASTLY
13.78.137.250Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
118.66.147.90United States
AS16509AMAZON-02
013.32.99.78New York, New York, United States
AS16509AMAZON-02
018.66.147.75United States
AS16509AMAZON-02
013.32.99.128New York, New York, United States
AS16509AMAZON-02
02600:9000:2251:3800:7:c516:5a80:93a1United States
AS16509AMAZON-02
02600:9000:2251:8000:7:c516:5a80:93a1United States
AS16509AMAZON-02
821--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AA21833E8F46421C4E23C726B4E4F0DE0550429AB6E08D42F5F85F2DBD826F90C42A2E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nnW+vJHtV8doDblCZ5dNNuyEmJf4HtW7DmPlP+Jl2RV3bJTuyEXmPlP+GqWiyYQr:n11X8q05oyEmGHMDmPcb2fJiyKmPciYa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1397:AAAAACAABAAAAAAAAACAAQAQgAAAAAIAAEAAACAgBAIAAAAFAoQAABAAAgAkEAAAAAAAAAFEgIAQAAAAAgoQAAIAAAAAAAMA

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:ffe7ff0000cfffff
Perceptual Hash:b3c6cc3333cccc31
Difference Hash:0808001858100000
Wavelet Hash:ffe7ff000000cccc
Color Hash:#a6e06c

Other Hashes

Crop Resistant:0808001858100000

Scan History

Scan history not available

Unable to load historical scan data