Security Scan Report: shitagangamun.gov.np

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Submitted: Jan 6, 2026, 5:19:48 PMCompleted: Jan 6, 2026, 5:21:15 PMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 104 HTTP transactions. The main domain is shitagangamun.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no detected threats.

Safety Factors
Government domain (.gov.np)
No suspicious forms or content detected
Domain age information unavailable

Details

Page Title

शितगंगा नगरपालिका नगर कार्यपालिकाकाे कार्यालय | ठाडा, अर्घाखाँची लुम्बिनी प्रदेश नेपाल

Scan Type

public

Language

🇳🇵

NE

(42% confidence)

Category

government public service

(71%)

Domain Information

Within the Nepalese country-code top-level domain (.gov.np), 'shitagangamun.gov.np' is registered. The second-level label 'shitagangamun' is 13 characters long split between five vowels and eight consonants. Breaking it apart gives 4 words: shit, a, gang, amun. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

16.08s
Total Load Time
117
HTTP Requests
4
Domains
3.0 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:7,347 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service71% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
71%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30142.250.186.138United States
AS15169GOOGLE
29103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
29172.217.18.3United States
AS15169GOOGLE
29157.240.253.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1174--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16DB3122597F3B225009E24A57312DA37CBCE8D36CF22C64E7BAC19590BC5E7594F224B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:dirftwkIoF1j4XIwxgJcV05gjA768FyApH7c7IznMn:bsMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:108373:oQBGDK0FBkAACVqGEAOyASdIEpAAIhgBAoBgyhBI9tIDGKGkVAIoqAitRAGGKQcCnQTeNgoHgEIBkEBaGwCYAQIWSEEGZgPm

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:ffff786137000000
Perceptual Hash:ea87ddbb86605826
Difference Hash:612fe1c7e5111724
Wavelet Hash:ffffff6335000000
Color Hash:#2dd29e

Scan History

Scan history not available

Unable to load historical scan data