Security Scan Report: sayalmun.gov.np

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Submitted: Nov 23, 2025, 10:42:38 AMCompleted: Nov 23, 2025, 10:43:43 AMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 4 domains to perform 165 HTTP transactions. The main domain is sayalmun.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate government site with no detected threats.

Safety Factors
Government subdomain (.gov.np) suggests official use
No external domains or links detected
No suspicious content or phishing indicators
Domain age information unavailable

Details

Page Title

सायल गाउँपालिका (Sayal Rural Municipality ) | गाउँ कार्यपालिकाको कार्यालय,दुदिलेगडा,डोटी ( सुदूरपश्चिम प्रदेश,नेपाल )

Scan Type

public

Language

🇳🇵

NE

(40% confidence)

Category

government

(95%)

Domain Information

You're looking at domain 'sayalmun.gov.np' on the Nepalese country-code top-level domain (.gov.np) without a subdomain. The core label 'sayalmun' covers 8 characters with three vowels and 5 consonants. Segmentation suggests three words: say, al, mun. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

6.80s
Total Load Time
165
HTTP Requests
4
Domains
2.4 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:40%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:40%
Script Type:Unknown
Text Length:7,595 chars
Detector Agreement:75%

Website Classification

Primary Category

government95% confidence
Type: spa
Method: structural

All Detected Categories

government
95%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
27142.250.186.99United States
AS15169GOOGLE
23157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
232a00:1450:4001:810::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
232a00:1450:4001:829::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
232a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2142.250.185.74United States
AS15169GOOGLE
1657--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19EB3812697F3B122008E24D96112DA37CBCE9D36DF63C50ABBAC5A451BC5E7094F235B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9l6cj0ZRAoKGL/WVkNRVoQKiOz2bMNYXQyBrKPNGco9sTVnMn:vMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109318:VaFCHAIhSwiAMiqVEQAUDuwBAcghEQhAQ1LJHEBANR2JKAtgDskRAlAAiQEDwgtBgIQgIBhBQKtGASgGgpoSCG10IiEAPh3Q

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:ffff00000000ffff
Perceptual Hash:cebbb15cb54e4a20
Difference Hash:71696165a5a5f500
Wavelet Hash:ffff00000000ffff
Color Hash:#87d279

Other Hashes

Scan History

Scan history not available

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