Security Scan Report: asamnews.com

Submitted: Nov 14, 2025, 6:28:25 AMCompleted: Nov 14, 2025, 6:29:55 AMpubliccompleted
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Summary

This website contacted 109 IPs in 0 countries across 31 domains to perform 314 HTTP transactions. The main domain is asamnews.com and was registered NaN years ago.

Submitted URL: https://asamnews.com/2025/11/06/beya-alcaraz-political-newcomer-sunset-supervisor-lurie-appointment/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(54%)

Domain Information

You're looking at domain 'asamnews.com' on the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'asamnews' stretches across 8 characters holding three vowels versus 5 consonants. Segmentation suggests three words: as, am, news. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://asamnews.com/2025/11/06/beya-alcaraz-political-newcomer-sunset-supervisor-lurie-appointment/

Page Load Overview

12.01s
Total Load Time
314
HTTP Requests
31
Domains
5.7 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-US
Text Length:7,188 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network54% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
54%
news/blog
50%
corporate
35%
forum
25%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
98104.16.79.73UnknownUnknown
2104.18.32.146UnknownUnknown
2125.209.233.21UnknownUnknown
223.35.229.56UnknownUnknown
213.222.79.81UnknownUnknown
213.33.52.91UnknownUnknown
2142.250.185.131UnknownUnknown
223.32.97.93UnknownUnknown
2172.217.18.14UnknownUnknown
2216.239.32.36UnknownUnknown
314109--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E2825B339566002F722B4EE77169BB545131E344D703A3FAF5678E4887CAA0F19633AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Va+i9yIPl2boVmJkEqP7QBFxl78AvxpY4xYHsKgZELLyEZG0e+2qu:U+icq4brJkxPluxDxYLT/GRdL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19226:AhpAyAEAgjgCBgLNjQArEyECyEYCAEvYrpCJYpbDQCUgQCl+AGiRVAEMMAAIAZ1/EgBWIIDo/CE0gaADgIJ5hIgAmjsBVwJA

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:dfc3c7c3ffffffe7
Perceptual Hash:b03882cec6cdc7c7
Difference Hash:301416160000000c
Wavelet Hash:3c000c00fcfcfcc0
Color Hash:#c587bd

Other Hashes

Crop Resistant:301416160000000c

Scan History

Scan history not available

Unable to load historical scan data