Security Scan Report: jhs.um.ac.ir

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Submitted: Feb 7, 2026, 12:15:19 PMCompleted: Feb 7, 2026, 12:17:58 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is jhs.um.ac.ir.

Submitted URL: https://jhs.um.ac.ir

The Cisco Umbrella rank of the primary domain is #282,681 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Legitimate academic site with low risk; domain age unknown but no malicious indicators.

Risk Factors
Domain age unknown
Safety Factors
No malicious Indicators of Compromise matches
No JavaScript malware detected
No password or payment fields in forms
Meta description relates to horticulture, not brand impersonation
Domain hosted on standard hosting, not IPFS or cloud storage
Domain age information unavailable

Details

Page Title

jhs.um.ac.ir

Scan Type

public

Language

🇮🇷

FA

(80% confidence)

Category

news/blog

(40%)

Domain Information

The domain 'jhs.um.ac.ir' uses the Iranian country-code top-level domain (.ac.ir), featuring subdomain 'jhs'. The core label 'um' covers 2 characters holding one vowel versus 1 consonant. Splitting it apart reveals 1 word: um. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jhs.um.ac.ir

Page Load Overview

29.07s
Total Load Time
49
HTTP Requests
3
Domains
674 KB
Total Size

Language Analysis

Primary Language

🇮🇷Persian
Code: fa
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:fa
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:fa
Text Length:72,449 chars
Detector Agreement:75%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
49185.84.220.152Iran
AS61248Ferdowsi University of Mashhad
491--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8Oldq:0hoC9JSqzzbs6o3Sj3gcrsA2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184451:YFLzAorIGUBwGEaSBxiKii+K8iCzkGdQgQDARViwCmKgWGAUwczUJGFArSIMAoaBkCJqAEihicuh5gUYsROAwjCEKA5wFBRf

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00181c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#2d8671

Other Hashes

Crop Resistant:00181c1800000000

Scan History

Scan history not available

Unable to load historical scan data