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Security Scan Report: jagdullamun.gov.np

Submitted: Oct 9, 2025, 11:10:23 PMCompleted: Oct 9, 2025, 11:11:45 PMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 4 domains to perform 124 HTTP transactions. The main domain is jagdullamun.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate government site with no apparent security threats.

Safety Factors
Official government domain (.gov.np)
Provides verifiable contact details and official email addresses
No suspicious external links or redirects
Domain age information unavailable

Details

Page Title

जगदुल्ला गाउँपालिका, गाउँकार्यपालिकाको कार्यालयमाझगाउँ, डोल्पा । कर्णाली प्रदेश । नेपाल | "कृषि, रोजगार, शिक्षा, स्वास्थ्य, पर्यटन र पूर्वाधारजगदुल्ला गाउँपालिकाको दिगो विकासको आधार"

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

government public service

(81%)

Domain Information

The domain 'jagdullamun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) and has no subdomain. Count 11 characters in 'jagdullamun' holding four vowels versus 7 consonants. Tokenizing the label suggests three words: jag, dull, amun. Expect 4 characters per word on average. 'jag' is most common in Swedish usage. Secondary signals appear in English and Malay.

Screenshot

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

Page Load Overview

53.45s
Total Load Time
124
HTTP Requests
4
Domains
40.3 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:50%
Script Type:Unknown
Text Length:9,782 chars
Detector Agreement:50%

All Detected Languages

🇳🇵ne(100%)🇮🇳hi(0%)

Website Classification

Primary Category

government public service81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
81%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
13142.250.186.131United States
AS15169GOOGLE
13103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
13216.58.206.74United States
AS15169GOOGLE
13142.250.186.138UnknownUnknown
13216.58.206.35UnknownUnknown
132a00:1450:4001:80e::200aUnknownUnknown
132a00:1450:4001:828::2003UnknownUnknown
132a03:2880:f084:105:face:b00c:0:3UnknownUnknown
1249--

Detected Technologies6

X-UA-Compatible
100%
MetaGenerator
100%
Drupalv7
100%
PHP
50%
HSTS
40%
Drupal Multisite
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T153E3822597F3B122009E60CA61219B37D7CE9D36CE27C609BBAD855A1FC5D3098F225B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:tx16CFksKGbEvPvRvpvB2vszRA6i0gGbhnGNcVTzK23bnMn:3aMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:147744:FGwEaPJARFoAAQCtSAFi1IGLy8RS0ExAiMFRjSgCM4AUDCG4QhKmoWuIgZ1gUwwhOAUEUKNiAyicKgiisIg0AAIOQJkCRqiD

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:ffff011919000000
Perceptual Hash:8aaaf2d5dd4a2a2a
Difference Hash:110df1737367418d
Wavelet Hash:ffff013f3f010101
Color Hash:#78663a

Other Hashes

Crop Resistant:97070e3f07373777,110df1f3f266438e

Scan History

Scan history not available

Unable to load historical scan data