Security Scan Report: jualo.com

Redirected to: https://www.jualo.com/

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Submitted: Mar 5, 2026, 8:22:35 PMCompleted: Mar 5, 2026, 8:24:23 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 1 HTTP transaction. The main domain is jualo.com and was registered NaN years ago.

Submitted URL: https://jualo.com

Effective URL: https://www.jualo.com/Redirected

The Cisco Umbrella rank of the primary domain is #176,037 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears legitimate, with no malicious indicators or phishing behavior.

Safety Factors
Well‑established domain with long registration history
Clean threat intelligence (no IoCs)
No suspicious forms or data collection
No malware or suspicious JavaScript behavior
Page marked as an article (og:type=article) with no impersonation
Domain age information unavailable

Details

Page Title

Teman Jual Beli Barang Bekas dan Baru | Jualo.com

Scan Type

public

Language

🇮🇩

ID

(38% confidence)

Category

news/blog

(40%)

Domain Information

Within the commercial generic top-level domain (.com), 'jualo.com' is registered without a subdomain. Count 5 characters in 'jualo' with three vowels and two consonants. Tokenizing the label suggests two words: ju, alo. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jualo.com

Page Load Overview

14.87s
Total Load Time
169
HTTP Requests
10
Domains
1.7 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:38%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:38%
Script Type:Unknown
Text Length:64,216 chars
Detector Agreement:80%

Website Classification

Primary Category

news/blog40% confidence
Type: static
Method: structural

All Detected Categories

news/blog
40%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
293.5.151.237Indonesia
28142.251.141.72United States
28110.239.71.167Jakarta, Jakarta, Indonesia
AS136907HUAWEI CLOUDS
28142.251.143.98UnknownUnknown
28110.239.65.135Jakarta, Jakarta, Indonesia
AS136907HUAWEI CLOUDS
28142.251.127.113UnknownUnknown
1696--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T102E3E73A6102B2BE9817CDD91B742F3561B6E01ADE61878A77F68A70CBD3ED0451BD03

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:b5l+rFs16yGM9F48w7ax777M0vxkvb8BcFKcNcr:tl+K16y/4RslxbH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:144993:06+NW+Q0BYwDglGEzsPgMUwGkJqBM5UIgiAcQgICFIBrX6IyEARGEQFCVS0klEFGGEDAiBPAKqTVG5fMUAjYEhGjCImmiWOI

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:20e1e1e1e1ebff87
Perceptual Hash:eb4916c13ec83e53
Difference Hash:534b5b53434bb42d
Wavelet Hash:00e1c1e1e1e9ff87
Color Hash:#e09a6c

Scan History

Scan history not available

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