ScanMalware.com

Security Scan Report: archivenepal.s3.amazonaws.com

Redirected to: https://3porns.com/3x/?rex

Submitted: Oct 11, 2025, 3:30:09 AMCompleted: Oct 11, 2025, 3:31:18 AMpubliccompleted
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Summary

This website contacted 43 IPs in 4 countries across 6 domains to perform 23 HTTP transactions. The main domain is 3porns.com and was registered NaN years ago.

Submitted URL: https://archivenepal.s3.amazonaws.com/documents/wp-content/rotaryktm/uploads/video/doc/video-guatemala-v-suriname-liv-sports-game-today-04.html

Effective URL: https://3porns.com/3x/?rexRedirected

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site appears to be an adult content page hosted on S3, no direct phishing or malware indicators.

Risk Factors
Hosted on cloud storage (S3) with no reputable ranking, which is a common indicator of suspicious sites
Safety Factors
No forms collecting credentials or payment information
No malicious Indicators of Compromise detected
No hidden password fields or phishing language
Domain age information unavailable

Details

Page Title

Watch Sex Video Online & Download

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

unknown

(0%)

Domain Information

Domain 'archivenepal.s3.amazonaws.com' uses the commercial generic top-level domain (.com), featuring subdomain 'archivenepal.s3'. The registrable portion 'amazonaws' spans 9 characters split between 4 vowels and 5 consonants. Segmentation suggests 3 words: amazon, aw, s. The median word length lands at two characters. 'amazonky' is most common in Czech usage. You may catch it in Slovak and Croatian as well.

Screenshot

Security scan screenshot of https://archivenepal.s3.amazonaws.com/documents/wp-content/rotaryktm/uploads/video/doc/video-guatemala-v-suriname-liv-sports-game-today-04.html

Page Load Overview

7.70s
Total Load Time
23
HTTP Requests
6
Domains
109 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:71%
Script Type:Latin
HTML Lang Attribute:en
Text Length:25 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23192.243.59.13Dominica
AS39572DataWeb Global Group B.V.
0104.20.10.41United States
AS13335CLOUDFLARENET
0192.243.59.12Dominica
AS39572DataWeb Global Group B.V.
092.113.16.65Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
0172.240.108.68United States
AS7979SERVERS-COM
0149.56.240.127Montreal, Quebec, Canada
AS16276OVH SAS
016.15.193.122Ashburn, Virginia, United States
AS14618AMAZON-AES
092.113.23.112Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
0104.18.11.207United States
AS13335CLOUDFLARENET
02606:4700:10::6814:b29United States
AS13335CLOUDFLARENET
2343--

Detected Technologies2

Amazon Web Services
40%
Amazon S3
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197B012A7C0B0000955B8A7DC4FB292AD5410740E70105C407ED030F0E4E5113C9E31C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qLJhquHbs0sJYkAK3BbZ6iFRDTiHj:q9hqIY0gYk/B96oTiD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:dcb3731d73bfaa6e22c2a74aaf0ab839

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:7fffffffffffffff
Perceptual Hash:87070f0f0f0f0f1f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#78663a

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data