Security Scan Report: dccokhaldhunga.gov.np

Redirected to:
https://dccokhaldhunga.gov.np/
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Submitted: May 31, 2026, 1:44:09 PMCompleted: May 31, 2026, 1:45:58 PMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 2 HTTP transactions. The main domain is dccokhaldhunga.gov.np.

Submitted URL: http://dccokhaldhunga.gov.np

Effective URL: https://dccokhaldhunga.gov.np/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate government information page with no malicious activity detected.

Safety Factors
Government domain (.gov.np) typically trustworthy
Absence of malicious indicators (IoC, YARA, IDS alerts)
Content type is news/article, not a phishing login page
External resources are common CDNs (Google, Facebook) used for assets
No payment or credential forms present
Domain age information unavailable

Details

Page Title

जिल्ला समन्वय समिति ओखलढुंगा

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

government public service

(68%)

Domain Information

You're looking at domain 'dccokhaldhunga.gov.np' on the Nepalese country-code top-level domain (.gov.np) while skipping any subdomain. The registrable portion 'dccokhaldhunga' spans 14 characters split between four vowels and ten consonants. Tokenizing the label suggests 6 words: dc, co, khal, d, hung, a. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://dccokhaldhunga.gov.np

Page Load Overview

24.53s
Total Load Time
114
HTTP Requests
12
Domains
37.9 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:6,360 chars
Detector Agreement:100%
Language mismatch: Declared as np but detected as ne

Website Classification

Primary Category

government public service68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
68%
government
48%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
38142.251.13.190United States
AS15169Google LLC
38103.69.127.119Nepal
AS131341Department of Information Technology, Government of Nepal
38157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1143--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE935059E3F4F36B059EB8C6A6205F3AADE19237C7320600B6EC67D95FC9C71540329A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ZhkMpuaBzBtfABNBPBNBZ+SfBTzodXLmIDLGxL7ggFypCQO7:/kMpualnAft7WZyxLXFyps7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89747:DQgUBNYWEhg4TAeow3EWEEkqCIZA5gSgLEMQpoA7oImCnCceaAKgiSQECMwCeEGOSDPFAKsFEFgaABiMPgSgYJkOAMZjLCKS

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:003c3c3c3c3c3c3c
Perceptual Hash:9f60603f609fa18f
Difference Hash:44e9696969696969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#86302d

Scan History

Scan history not available

Unable to load historical scan data