Security Scan Report: news.mongabay.com

Submitted: Oct 14, 2025, 11:31:16 AMCompleted: Oct 14, 2025, 11:33:14 AMpubliccompleted
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Summary

This website contacted 190 IPs in 5 countries across 51 domains to perform 328 HTTP transactions. The main domain is news.mongabay.com.

Submitted URL: https://news.mongabay.com/2025/10/connecting-indonesias-environmental-stories-to-millions/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established reputable news organization (Mongabay)
No suspicious forms or data collection
No external malicious links
Domain age information unavailable

Details

Page Title

Connecting Indonesia’s environmental stories to millions

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(42%)

Domain Information

Within the commercial generic top-level domain (.com), 'news.mongabay.com' is registered with subdomain 'news'. The registrable portion 'mongabay' spans 8 characters with three vowels and 5 consonants. It segments into three words: mong, a, bay. Average segment length settles at 3 characters. 'mon' most strongly signals Hungarian. Secondary signals appear in Galician and Portuguese.

Screenshot

Security scan screenshot of https://news.mongabay.com/2025/10/connecting-indonesias-environmental-stories-to-millions/

Page Load Overview

61.75s
Total Load Time
328
HTTP Requests
51
Domains
4.1 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:22,685 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network42% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
42%
news media journalism
37%
news/blog
35%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13920.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1108.138.26.75United States
AS16509AMAZON-02
1142.250.186.74United States
AS15169GOOGLE
1142.250.186.136United States
AS15169GOOGLE
1141.193.213.11United States
AS209242Cloudflare London, LLC
1104.16.160.168United States
AS13335CLOUDFLARENET
113.35.58.121United States
AS16509AMAZON-02
145.133.44.4Philadelphia, Pennsylvania, United States
AS39572DataWeb Global Group B.V.
154.231.234.65Ashburn, Virginia, United States
AS16509AMAZON-02
1104.16.138.209United States
AS13335CLOUDFLARENET
328190--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ADC32B73E35911BE1B5353C56A382A6EE163847FFA809DA597E543CC63C2EB2D2121CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:UysN8XWm/sN5rPNpFrFWzo7Ee7DUE1Xi88IaL+6uXn43s/3k7p5F6gQ2cFAB9qa9:bbGssN5rPNpFrFWzo7Ee7DUE1Xi88IaR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:121288:DAgDRlAiAZ7A4QQgQIZjgjDMYBMP8EEOyZgDAYsAgbBKN2iIAAyq5ISEIzRDgBIICCSsQEogERAIBAaAVAK0icMpAIgN5RJh

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:ffff81818181ffff
Perceptual Hash:b9ccc63b606c39c3
Difference Hash:2632332b2b3b1b04
Wavelet Hash:f7bf81818181c3e7
Color Hash:#862d37

Other Hashes

Scan History

Scan history not available

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