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Security Scan Report: pippenguin.net

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Submitted: Aug 12, 2026, 1:30:38 PMCompleted: Aug 12, 2026, 1:32:22 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is pippenguin.net and was registered NaN years ago.

Submitted URL: https://pippenguin.net/forex/learn-forex/forex-factory-how-to-use-it-to-improve-your-trading-strategy/

AI Security Verdict

Safe Website

Confidence: 94%

1
Risk Score

The site appears to be a legitimate educational article about Forex, with no phishing, malware, or scam indicators.

Safety Factors
Self‑branding aligns with domain
No external malicious links or redirects
No IDS alerts or network‑level threats
Content is educational/article type with no credential collection
Domain age information unavailable

Details

Page Title

Forex Factory: How to Use It for Better Trading

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(45%)

Domain Information

You're looking at domain 'pippenguin.net' on the network infrastructure generic top-level domain (.net) with no subdomain. Count 10 characters in 'pippenguin' with four vowels and 6 consonants. Word splitting yields 2 words: pip, penguin. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pippenguin.net/forex/learn-forex/forex-factory-how-to-use-it-to-improve-your-trading-strategy/

Page Load Overview

7.62s
Total Load Time
151
HTTP Requests
15
Domains
1.8 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:22,841 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
45%
news/blog
35%
corporate
35%
forum
25%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
40142.251.14.95Google · CDNUnited States
AS15169Google LLC
37188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
37104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
37104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1514--

Page Statistics

151
Requests
15
Unique Domains
2.0 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F444077378470829263F13CBA0037A1CA27691DADB5999C1F1BD4179EBF2E9036E3758

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5EPg366aKtAn2o2caqdKNirmy/pNf6f3rbsDssGJwaIVd/WXpFKr4gjyLRYBnn5a:5ECAn2o2tqdsirZsvsjGJwaIViKh0B9F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:258371:AeFIChiOAL4gGRAIIEWBAm9YRCkIQRgAVtAgKhdIeEkQoGyqAARQlNkgDaAYSFYSIAVgkEJARALKlRA5GBN8UbIgOEBCg4HS

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:ff87ffffcbc7c700
Perceptual Hash:bccd36b9498641b9
Difference Hash:3d2f3b331b0f2c0d
Wavelet Hash:ff839b9f83838700
Color Hash:#86742d

Other Hashes

Crop Resistant:3d2f3b331b0f2c0d,39999971a1a9e37b,4071393939302040,21cdc97171c9c523,c4314d4d112b2b33,0c2f2d0c2dd4d4c4

Scan History

Scan history not available

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