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Security Scan Report: naga.com

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Submitted: Oct 8, 2025, 11:57:31 PMCompleted: Oct 8, 2025, 11:58:29 PMpubliccompleted
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Summary

This website contacted 53 IPs in 3 countries across 10 domains to perform 144 HTTP transactions. The main domain is naga.com and was registered NaN years ago.

Submitted URL: https://naga.com/en/academy/fomc-meeting

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain with minimal risk category
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

What is FOMC and when does it meet? FOMC Schedule 2023

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(46%)

Domain Information

Domain 'naga.com' uses the commercial generic top-level domain (.com). The second-level label 'naga' is 4 characters long containing two vowels alongside two consonants. Splitting it apart reveals one word: naga. The median word length lands at four characters. 'nga' is most common in Tagalog usage. It also appears in Indonesian and Malay contexts.

Screenshot

Security scan screenshot of https://naga.com/en/academy/fomc-meeting

Page Load Overview

5.85s
Total Load Time
144
HTTP Requests
10
Domains
2.9 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
Text Length:26,066 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain46% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
46%
corporate business
44%
technology software
42%
education learning
35%
social media network
28%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
40104.87.228.98Hamburg, Hamburg, Germany
AS16625AKAMAI-AS
223.36.162.200Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
213.32.121.49New York, New York, United States
AS16509AMAZON-02
220.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
265.9.66.64United States
AS16509AMAZON-02
265.9.66.60United States
AS16509AMAZON-02
265.9.66.110United States
AS16509AMAZON-02
218.244.18.44United States
AS16509AMAZON-02
252.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
213.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
14453--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BEE3E9318381253EC23346D8F275F79DA093915EDB9B48CCD3BC962767CEC626E211A6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:crHbIIA3bdyBkuIIO3rXc31xZoGXJG/PXSp7MCLKzQNw9U9lbvJyBxt85SBaXKJB:C797cJM4JMbl79bi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:154197:MgCNFBCAEUlI6AWo4QBCyVCDoNSBjQR6IGAYQRFhYlLwjhcQIwAUpYVFxKjEuYsKQE/CQwIVACQAEikgAguCksAOEJEghJAR

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:00ffffffffdbd300
Perceptual Hash:b8936d39433c163e
Difference Hash:3b023e143b3332a2
Wavelet Hash:00ffdfffc381c100
Color Hash:#87abc5

Other Hashes

Crop Resistant:3b023e143b3332a2,c1232f2b3b37c1c1,2bb3b733b333a3c6

Scan History

Scan history not available

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