Security Scan Report: sisnemun.gov.np

Submitted: Jan 23, 2026, 4:54:16 PMCompleted: Jan 23, 2026, 4:55:40 PMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 94 HTTP transactions. The main domain is sisnemun.gov.np.

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Password-only form on an unknown-age domain; moderate risk – avoid submitting credentials.

Risk Factors
Credential harvesting pattern: password field without username field
Unknown domain age – treated as potentially new/suspicious
Safety Factors
No malicious Indicators of Compromise matches detected
No JavaScript malware patterns detected
No external domains referenced
Appears to be a government (.gov.np) site
Domain age information unavailable

Details

Page Title

सिस्ने गाउँपालिका | गाउँ कार्यपालिकाको कार्यालय रुकुमकोट, रुकुम (पूर्व), लुम्बिनी प्रदेश, नेपाल

Scan Type

public

Language

🇳🇵

NE

(42% confidence)

Category

government

(48%)

Domain Information

The domain 'sisnemun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) and has no subdomain. Its registrable label 'sisnemun' stretches across 8 characters containing 3 vowels alongside 5 consonants. Breaking it apart gives 4 words: s, is, ne, mun. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

16.64s
Total Load Time
110
HTTP Requests
4
Domains
827 KB
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:5,374 chars
Detector Agreement:75%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
43%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29172.217.23.202United States
AS15169GOOGLE
27157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
27103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
27172.217.23.99United States
AS15169GOOGLE
1104--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13E83842597F3B122005E60C56625EB33C7CE9D39CE17C509BBAC5A8A0BC5E7498F325B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4OOdOQ+lrPSn+kOG7naVm+mlHwzP2H+qxsZgXg5HqshQuJXHmb8WC7vTMn:ZlranUG7nh+8HCP2H+qxsZgXg5HqshQj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87975:VmqJhBLMCVkCIx1LQEAAQFiGRgzJqiphMkGSoQes4oBNCwIVAKKyEKyAGIUWAoohQIqrjghZjA3WkAknmAGQBBI6UoGAAICg

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:ffff00000000fffd
Perceptual Hash:ca16db95cab56a84
Difference Hash:612dd9b1e58b2b31
Wavelet Hash:ffff00000000ffff
Color Hash:#d2742d

Scan History

Scan history not available

Unable to load historical scan data