Security Scan Report: pp.ephapay.net

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Submitted: May 11, 2026, 9:58:50 AMCompleted: May 11, 2026, 10:00:12 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 8 HTTP transactions. The main domain is pp.ephapay.net and was registered NaN years ago.

Submitted URL: https://pp.ephapay.net

The Cisco Umbrella rank of the primary domain is #224,157 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 90%

0
Risk Score

Site shows no malicious activity and is likely legitimate; safe to browse.

Safety Factors
Well‑established domain registration date (2014‑06‑27)
Absence of malicious indicators (IoC, YARA, IDS)
No credential‑collecting forms or payment fields
Domain age information unavailable

Details

Page Title

Welcome to JBoss EAP 7

Scan Type

public

Language

🇺🇸

English

(61% confidence)

Category

technology software

(65%)

Domain Information

Domain 'pp.ephapay.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'pp'. Count 7 characters in 'ephapay' containing 3 vowels alongside four consonants. Segmentation suggests three words: e, pha, pay. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pp.ephapay.net

Page Load Overview

0.58s
Total Load Time
7
HTTP Requests
1
Domains
223 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:61%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:61%
Script Type:Latin
Text Length:340 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
65%
documentation technical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
723.56.207.183Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
71--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1823144A54CE6112253C38263BCE02A7DBE20D7CBE5898C04B1AD59CD6FC199AC953A28

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:haa8vs1xUrn1EQapE9s6yVc1TFcMO6B9QzZexYI9MqDSm+fDI:j1QvaMJy+1Jc4B92OYI9Z+fk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1518:AAFAACIAAAIAgQAEBgAAAAAACAAEgDCAAAEAQAAAAIAAAAAAAAEQAAAAAAAEAAEAAAAQQBAAAAECAABEAIAEAAICAAwEBAAA

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:807e7e7e7e7e7e3c
Perceptual Hash:d7392c6c2c6c6c6c
Difference Hash:0658686060606060
Wavelet Hash:003c3c3c7c7c7c3c
Color Hash:#6c783a

Other Hashes

Scan History

Scan history not available

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