Security Scan Report: salpasilichhomun.gov.np

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Submitted: Oct 8, 2025, 8:50:50 PMCompleted: Oct 8, 2025, 8:51:42 PMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 4 domains to perform 142 HTTP transactions. The main domain is salpasilichhomun.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate municipal website with no apparent security threats

Safety Factors
Official government domain (.gov.np)
Absence of password, payment, or personal data collection forms
No external links to untrusted domains
Search forms are standard and non‑suspicious
Domain age information unavailable

Details

Page Title

साल्पासिलिछो गाउँपालिका,गाउँ कार्यपालिकाको कार्यालय,प्रदेश नं १,चौकिडाडा भोजपुर, नेपाल | समृद्ध नेपाल सुखी नेपाली

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

government

(48%)

Domain Information

The domain name 'salpasilichhomun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) with no subdomain. The core label 'salpasilichhomun' covers 16 characters containing six vowels alongside ten consonants. Tokenizing the label suggests five words: sal, pasi, lich, ho, mun. The median word length lands at 3 characters. Most frequently, 'sal' shows up in French. You may catch it in Italian and Catalan as well.

Screenshot

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

Page Load Overview

34.44s
Total Load Time
142
HTTP Requests
4
Domains
3.0 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:5,384 chars
Detector Agreement:50%

All Detected Languages

🇳🇵ne(100%)🇮🇳hi(0%)

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
43%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22142.250.185.195United States
AS15169GOOGLE
15157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
15103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
15142.250.181.234United States
AS15169GOOGLE
15142.250.185.202UnknownUnknown
152a00:1450:4001:812::200aUnknownUnknown
15142.250.186.131UnknownUnknown
152a00:1450:4001:82b::2003UnknownUnknown
152a03:2880:f084:105:face:b00c:0:3UnknownUnknown
1429--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11793842587F3A023005A55C56122DB37CBCE9E36DF37C509B7AC5A8A1BC9D7488E335A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9OOdO9zl701546A0QciqpKQtcFugtpw1ojg9iHu4hEiVDHyzwvD7vTMn:Wl701580QTEKQtcFugtpw1ojg9iHu4hA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:96983:VgCSQHwBYamIgoCQQeL9KkAAAQcARxgBBAwhCFBJjIAFNBPIiGXBIsmUi2MtNpTAcMIyBEgAhWkAKCGICkgSECUAkYNBml2c

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:ffff08000000ffff
Perceptual Hash:8bdae536c59622a9
Difference Hash:6173f97023757302
Wavelet Hash:ffff00000000ffff
Color Hash:#78663a

Scan History

Scan history not available

Unable to load historical scan data