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Security Scan Report: dipayalsilgadhimun.gov.np

Submitted: Nov 21, 2025, 4:26:19 AMCompleted: Nov 21, 2025, 4:29:17 AMpubliccompleted
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Summary

This website contacted 29 IPs in 3 countries across 7 domains to perform 254 HTTP transactions. The main domain is dipayalsilgadhimun.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no detected security threats.

Safety Factors
Official .gov.np domain
No malicious Indicators of Compromise matches found
No credential or payment collection forms
No brand impersonation or health‑related claims
Domain age information unavailable

Details

Page Title

दिपायल सिलगढी नगरपालिका​ | दिपायल सिलगढी नगरपालिका, डोटी

Scan Type

public

Language

🇳🇵

NE

(47% confidence)

Category

government

(48%)

Domain Information

Domain 'dipayalsilgadhimun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) while skipping any subdomain. The registrable portion 'dipayalsilgadhimun' spans 18 characters split between 7 vowels and 11 consonants. Segmentation suggests 7 words: di, pay, al, sil, gad, him, un. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

17.47s
Total Load Time
254
HTTP Requests
7
Domains
9.6 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:47%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:47%
Script Type:Unknown
Text Length:19,054 chars
Detector Agreement:50%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
healthcare medical
34%
government public service
25%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
222103.69.127.8Nepal
AS131341Department of Information Technology, Government of Nepal
8157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
8142.250.184.202United States
AS15169GOOGLE
8216.58.206.72United States
AS15169GOOGLE
8142.250.185.99United States
AS15169GOOGLE
8142.250.186.106United States
AS15169GOOGLE
82a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
8142.250.185.138United States
AS15169GOOGLE
8216.58.206.74United States
AS15169GOOGLE
8142.250.181.234United States
AS15169GOOGLE
25429--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158343025C7F3B122005E64D2122ACA37CBCE9E35CFA2C509BF6C565A4BC9D3494F7266

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:2z6YF629dmXV2yxgXRK91bBCkDcIcXFftpBEdC+hgLOWmXdp7GBCi/9FyvK8FyY5:2IKvqqMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:240714:RUAEHAIlAEEAVMDqWmGGrgALIICHXUwKEQAxQqEJEgUk4KAoOqgIwUMKIC6LTAEkgFVGBwhikY+IKChEywZQMuCAhbXAHB0F

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:ffff1f0400000000
Perceptual Hash:aa95ebed140a1e27
Difference Hash:71196d3d661b130d
Wavelet Hash:ffff3f1f03810100
Color Hash:#93381f

Other Hashes

Crop Resistant:71196d3d661b130d,2829b89c8cc67e3e,e1c8d89c2c8c9f3b,f8ccdab9b8800410,6d2cbe661b5b870d

Scan History

Scan history not available

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