Security Scan Report: golanjormun.gov.np

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Submitted: Jan 19, 2026, 10:53:46 AMCompleted: Jan 19, 2026, 10:55:28 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 6 domains to perform 130 HTTP transactions. The main domain is golanjormun.gov.np.

Submitted URL: https://golanjormun.gov.np/

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Low risk government site; no immediate threats detected.

Safety Factors
HTTPS connection (assumed from .gov domain)
Government TLD (.gov.np) suggests official use
No credential or payment collection forms
Unranked status not accompanied by other suspicious indicators
Domain age information unavailable

Details

Page Title

गोलन्जोर गाउँपालिकाको कार्यालय | ग्वालटार ,सिन्धुलीशिक्षा सडक सिंचाई र कृषि गोलन्जोरको पूर्वाधार तरकारी खेति,पशुपालन र पर्यटन विकाश समृदिको मूल आधार

Scan Type

public

Language

🇳🇵

NE

(42% confidence)

Category

government public service

(76%)

Domain Information

You're looking at domain 'golanjormun.gov.np' on the Nepalese country-code top-level domain (.gov.np) with no subdomain. Its registrable label 'golanjormun' stretches across 11 characters holding 4 vowels versus 7 consonants. Tokenizing the label suggests four words: golan, j, or, mun. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://golanjormun.gov.np/

Page Load Overview

30.29s
Total Load Time
179
HTTP Requests
6
Domains
6.8 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:42%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:42%
Script Type:Unknown
Text Length:10,108 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service76% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
76%
forum community discussion
76%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39172.217.20.138United States
AS15169GOOGLE
35157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
35142.250.186.163United States
AS15169GOOGLE
35103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
35142.250.186.174United States
AS15169GOOGLE
1795--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BFA3202597F3B122019D70D52A259E37CBCDCE36CF17C909BAAC598A0BC5D7498E331A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:V4rKleeYejoXb7kYs5fE31e301T47pfmXJjg67Vyou2vOjcgu5kSAVr0VPmk:Of

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106950:RAhDJSYZoMcjJIzAFoANCLEIGAxdHgUA4WFAiBBiQQQkqoMQYAweCgBqcCN4bQogF+ICLiJ6EIgQgEoMMgANZMgwQR1AmQBi

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:ffff00000000ccff
Perceptual Hash:f887df58851e3921
Difference Hash:713957ba9399b922
Wavelet Hash:ffff01000000dfff
Color Hash:#bf40a1

Scan History

Scan history not available

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