Security Scan Report: www.ecowatch.com

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Submitted: Nov 26, 2025, 8:29:36 AMCompleted: Nov 26, 2025, 8:32:08 AMpubliccompleted
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Summary

This website contacted 58 IPs in 2 countries across 21 domains to perform 172 HTTP transactions. The main domain is ecowatch.com and was registered NaN years ago.

Submitted URL: https://www.ecowatch.com/national-parks-entrance-fees-2559617590.html

The Cisco Umbrella rank of the primary domain is #643,282 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
No credential‑harvesting or payment collection fields
Low number of red‑flag indicators
Domain age information unavailable

Details

Page Title

National Park Service Announces Park Entrance Fee Increases - EcoWatch

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce

(54%)

Domain Information

The domain name 'www.ecowatch.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label 'ecowatch' stretches across 8 characters split between three vowels and 5 consonants. Tokenizing the label suggests two words: eco, watch. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ecowatch.com/national-parks-entrance-fees-2559617590.html

Page Load Overview

1.70s
Total Load Time
172
HTTP Requests
21
Domains
2.4 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:12,896 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce54% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce
54%
news/blog
50%
corporate
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
93104.131.4.87Clifton, New Jersey, United States
AS14061DIGITALOCEAN-ASN
12146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
11162.247.243.29United States
AS54113FASTLY
11216.239.32.36United States
AS15169GOOGLE
11104.18.87.42United States
AS13335CLOUDFLARENET
4172.66.0.227United States
AS13335CLOUDFLARENET
4142.251.140.168United States
AS15169GOOGLE
3172.64.150.129United States
AS13335CLOUDFLARENET
2146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2216.239.34.36United States
AS15169GOOGLE
17258--

Detected Technologies4

JQueryv3.7.1
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF144AF6649C7436076797D5A12EB308F6A7402FDB098991B3FEA2D8CBC2DD641B211C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yu+DGDtPHjlgiZyl01154K5hT33wtwJ3hPomuZ8GRVYo9AT/QoUYys1:RDlgw/1154K5hT33wS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:209320:IFxgGRYpV4EDBNpLACuMCmTcOKiUyIkQxtxgUBLAUIpAoWAUwqRQiJDAHGUIIIRAwyiQsdSkxMFY4DJoUi4SBwihFwBmCBXI

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:e7e7cbb31331137f
Perceptual Hash:a6f3936690a5d91c
Difference Hash:8c4f1367676766f5
Wavelet Hash:e681c3f11331137f
Color Hash:#867d2d

Other Hashes

Crop Resistant:8c4f1367676766f5

Scan History

Scan history not available

Unable to load historical scan data