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Security Scan Report: nahdi.sa

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/83f0e70c-48e9-4f86-a52d-b6f90e61e4f1Domain and IP registration (RDAP)/api/v1/rdap/83f0e70c-48e9-4f86-a52d-b6f90e61e4f1How often this domain was scanned/api/v1/domain/stats/nahdi.saScan history for this domain/api/v1/domain/history/nahdi.sa?limit=15
This website contacted 17 IPs in 1 country across 8 domains to perform 63 HTTP transactions. The main domain is nahdi.sa.

Submitted URL: https://nahdi.sa

The Cisco Umbrella rank of the primary domain is #835,362 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate corporate site of Nahdi Medical Company on its own 8-year-old domain. Self-branded, no credential or payment forms, no threat-intel, malware, or IDS hits. No risk indicators found.

Safety Factors (5)
Established domain over 8 years old
Self-branding matches domain — no impersonation of another entity
Search forms only; no credential or payment data collection
No Indicators of Compromise, malware, or phishing alerts
ML classifier rates page as healthcare/medical (80% confidence)
Domain age information unavailable

Details

Page Title

Nahdi Medical Company

Scan Type

public

Domain Name Analysis

Within the Saudi country-code top-level domain (.sa), 'nahdi.sa' is registered. The second-level label 'nahdi' is 5 characters long split between two vowels and 3 consonants. Word splitting yields 2 words: nah, di. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nahdi.sa

Page Load Overview

2.82s
Total Load Time
25.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-GB
Text Length:2,451 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical80% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
80%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15141.193.213.21Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
318.173.205.121Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
3142.251.127.154Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
376.223.10.152Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3141.193.213.20Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
3142.251.110.97Google · CDNUnited States
AS15169Google LLC
6317--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C853B6F2E498203B019AB2D89069FB29FAD35107CE155B2173FD539CAB85F915AB370C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:R+wnyp0/qA6Cd0dniT87Rt01ss+Z5Gh9QpGCVh:JyG/qAL07x5Gh9QpGCVh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62288:kivEjweyMEQxBhQAA8DN+6yDQGTkaASAEHxAQoWFBIhUWVwjAQSG4EwkhnIhFAAWlnAkogbGBDFRgBcKZWEMYkgpAA6AG/VJ

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:ffe6ded8080040ff
Perceptual Hash:d895864b98e49f6a
Difference Hash:9a8c1c32335383a5
Wavelet Hash:fff6dec8000040ff
Color Hash:#783a3c

Other Hashes

Crop Resistant:9a8c1c32335383a5,71714541504b7363,3535151716969359,aca446c68396961d,0b3b7e5d6d7def6d

Scan History

Scan history not available

Unable to load historical scan data