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Security Scan Report: dhawalagirimun.gov.np

Submitted: Jan 24, 2026, 4:46:19 AMCompleted: Jan 24, 2026, 4:49:03 AMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 7 domains to perform 106 HTTP transactions. The main domain is dhawalagirimun.gov.np.

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

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

Site appears legitimate but unknown age and many redirects warrant caution.

Risk Factors
Excessive redirects (8)
Domain age unknown
Unranked in Cisco Umbrella (low reputation)
Safety Factors
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
No password, email, or payment fields in forms
Appears to be a government site (.gov.np)
No external domains linked
Domain age information unavailable

Details

Page Title

धवलागिरी गाउँपालिका, गाउँ कार्यपालिकाको कार्यालय | मुना, म्याग्दी, गण्डकी प्रदेश, नेपाल

Scan Type

public

Language

🇳🇵

NE

(63% confidence)

Category

government

(48%)

Domain Information

The domain 'dhawalagirimun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) while skipping any subdomain. The core label 'dhawalagirimun' covers 14 characters containing six vowels alongside 8 consonants. Splitting it apart reveals 5 words: dha, wal, a, giri, mun. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

90.14s
Total Load Time
573
HTTP Requests
7
Domains
24.6 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:63%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:63%
Script Type:Unknown
Text Length:31,614 chars
Detector Agreement:75%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
healthcare medical
45%
education learning
39%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
87142.250.185.74United States
AS15169GOOGLE
81157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
81142.250.201.67United States
AS15169GOOGLE
81146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
81216.239.32.178United States
AS15169GOOGLE
81157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
81103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
5737--

Detected Technologies9

X-UA-Compatible
100%
MetaGenerator
100%
Google-AnalyticsvUniversal
100%
Drupalv7
100%
PHP
50%
HSTS
40%
jQuery
20%
Twitter
20%
Google Analytics
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C7341E5993FBF221019D70D21225DE33CBCE8D32CE66C50AB9BD5A964BC9C7894F2217

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:slGs6LJE/x4RX5GqsspXa7N+G+T+31zJg4jc70z9UnfKgHO3KgAqIzoFktASW:17+lj5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:237250:AkEFSjBJTRFBNikGCAjkqNll5QOoK0DAHCAZwdISCB2XYM7ItIAEggwMAAcKUMKQJASkBSAAMAXiKpTwgpgrRG0SDCIQwFGz

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:ffff003c00010000
Perceptual Hash:a79af59dd78e2200
Difference Hash:733fe56c511346c6
Wavelet Hash:ffff003f3fb10000
Color Hash:#d2a32d

Other Hashes

Crop Resistant:733fe56c511346c6,a185c6def0e4e464,1c616b4b63e3e3e3,04056d6d6c6c6d71,8189034903362b23,8ca44000008c0e0a

Scan History

Scan history not available

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