Security Scan Report: mol.gov.om

Submitted: Mar 27, 2026, 1:03:48 AMCompleted: Mar 27, 2026, 1:05:21 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 8 domains to perform 1 HTTP transaction. The main domain is mol.gov.om.

Submitted URL: https://mol.gov.om

The Cisco Umbrella rank of the primary domain is #423,549 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no malicious activity detected.

Safety Factors
HTTPS connection (assumed from .gov domain)
No forms or input fields
No JavaScript malware patterns detected
No network IDS alerts
External resources are reputable (Google Analytics, DevExpress CDN, remote.captcha.com)
Domain age information unavailable

Details

Page Title

وزارة العمل -سلطنة عمان - الرئيسية

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

government

(48%)

Domain Information

Within the Omani country-code top-level domain (.gov.om), 'mol.gov.om' is registered. Count 3 characters in 'mol' holding 1 vowel versus two consonants. Breaking it apart gives 1 word: mol. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mol.gov.om

Page Load Overview

0.78s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
Text Length:138 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
documentation technical
32%
adult content
32%
government public service
28%
news media journalism
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
246.40.200.130Muscat, Muscat, Oman
AS50010Omani Qatari Telecommunication Company SAOC
013.107.226.45Oman
0178.63.186.73Oman
0142.250.201.174Oman
018.173.205.13Oman
046.40.200.143Oman
066.33.60.194Oman
27--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F884A570B4F401370027D5D795A19F2DAFA1F60BDA0BA950B6FC0BA25FCAC66A513339

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:oBatTVkqZQkGa6CqxX5dBelkSPra0Fhfd:oBavF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:390285:AkSCh2AGo0wQALrOwACBQMDIA0AnbIML5JBEoBFkrAmUYwrMIQBKkARiCgTigrUwGCEIACaAUQR6BAmADAbNcJAcHQGAAAEB

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:00c3ffff87877e7f
Perceptual Hash:b46f493e0ac73e03
Difference Hash:3333c8c82f2ec28a
Wavelet Hash:0081ffff83837c43
Color Hash:#4fbf40

Other Hashes

Crop Resistant:3333c8c82f2ec28a

Scan History

Scan history not available

Unable to load historical scan data