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Security Scan Report: dccmakwanpur.gov.np

Submitted: Jan 22, 2026, 9:11:24 PMCompleted: Jan 22, 2026, 9:14:12 PMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 76 HTTP transactions. The main domain is dccmakwanpur.gov.np.

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site shows no malicious activity and is low risk, but domain age is unknown.

Safety Factors
Absence of login or payment forms
No malicious JavaScript detected
Page appears to be a government site (dccmakwanpur.gov.np)
Domain age information unavailable

Details

Page Title

जिल्ला समन्वय समिति मकवानपुर

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

government

(48%)

Domain Information

The domain name 'dccmakwanpur.gov.np' uses the Nepalese country-code top-level domain (.gov.np) while skipping any subdomain. Count 12 characters in 'dccmakwanpur' with three vowels and nine consonants. Splitting it apart reveals 4 words: dc, cma, kwan, pur. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

100.15s
Total Load Time
72
HTTP Requests
4
Domains
4.2 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
HTML Lang Attribute:np
Text Length:6,709 chars
Detector Agreement:100%
Language mismatch: Declared as np but detected as ne

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
30%
travel tourism
28%
healthcare medical
28%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18103.69.127.119Nepal
AS131341Department of Information Technology, Government of Nepal
18142.251.140.170United States
AS15169GOOGLE
18172.217.18.3United States
AS15169GOOGLE
1857.144.244.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
724--

Detected Technologies1

Open-Graph-Protocolvarticle
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A832C59E7F8B33B019EB4C6A6641F3AEED26237C7720101B6FC13DA5F8AC614453269

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9FkEOpBPBvEviMwDBlwTBcXXKbg9Dk871HvkKShXGbyps5QOJ:zkEOpB+bwDBlwTBoo87hkqbypsfJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86206:sgVIhUoEDNxSZIIkUAEYMMYABAIIAHECIitPJXMwAwZYPQhYPuihKACJQTABmgETgBwe7KCAYGcq0QiUAIiaxMhEWSRCMBQN

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:3e00ffffffffffff
Perceptual Hash:850504858797afff
Difference Hash:e0c0010000000001
Wavelet Hash:00003e3efefefe00
Color Hash:#e0af6c

Other Hashes

Crop Resistant:e0c0010000000001,0000002222204800

Scan History

Scan history not available

Unable to load historical scan data