Security Scan Report: soouq-kom.vercel.app

Submitted: Mar 14, 2026, 1:12:32 PMCompleted: Mar 14, 2026, 1:13:40 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 13 HTTP transactions. The main domain is soouq-kom.vercel.app and was registered NaN years ago.

Submitted URL: https://soouq-kom.vercel.app

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

No malicious activity detected; low risk despite unknown subdomain age.

Safety Factors
HTTPS connection
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No YARA malware detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Souq-Kom | سوق كوم

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

e-commerce shopping

(91%)

Domain Information

Within the application-focused generic top-level domain (.app), 'soouq-kom.vercel.app' is registered with subdomain 'soouq-kom'. The core label 'vercel' covers 6 characters holding 2 vowels versus 4 consonants. Breaking it apart gives two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://soouq-kom.vercel.app

Page Load Overview

0.61s
Total Load Time
9
HTTP Requests
2
Domains
147 KB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:80%
Script Type:Arabic
HTML Lang Attribute:ar
Text Length:7,724 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping91% confidence
Type: webapp
Method: ml+structural

All Detected Categories

e-commerce shopping
91%
documentation technical
31%
technology software
26%
corporate
25%

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.64.149.246United States
4216.198.79.67United States
AS16509Amazon.com, Inc.
92--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD542AB0A1B560356427D891A5A65B8E7830D903DA0BC740FA6EA5B05FC3DF3DE3369C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ftGIG53OpavgSQL8x6/QbT+PlIIUyBrggiByUaYoORirYw+EtvLNEyHS9tVc3lUs:fVQSnggil2t2c3l7ns8CD5IKBBTJ1C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:288666:QRwAdRgA8MDRMG1olZgkmERLQpNtRUyAFxZWgAQAJgkAkrRRRAlASe/jCESzpQwBkgAgIkgI4IY4BEgQAOABAWHc0AMUSACJ

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:fffffffff7ffff00
Perceptual Hash:f6d559d406d944e4
Difference Hash:a0080c2a4c44b04d
Wavelet Hash:7ee0800627ffff00
Color Hash:#76931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data