Security Scan Report: dccdolakha.gov.np

Redirected to:
https://dccdolakha.gov.np/
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Submitted: Jun 11, 2026, 3:14:06 AMCompleted: Jun 11, 2026, 3:15:37 AMpubliccompleted
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Summary

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

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

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears to be a legitimate government informational page with no phishing, malware, or scam indicators.

Safety Factors
Government TLD indicates official status
Absence of malicious signals (IoC, YARA, IDS alerts)
Informational content about a district, not brand impersonation
Domain age information unavailable

Details

Page Title

जिल्ला समन्वय समिति दोलखा

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

government public service

(64%)

Domain Information

Domain 'dccdolakha.gov.np' uses the Nepalese country-code top-level domain (.gov.np) with no subdomain. Its registrable label 'dccdolakha' stretches across 10 characters with 3 vowels and 7 consonants. It segments into four words: dc, cdo, lakh, a. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

21.41s
Total Load Time
95
HTTP Requests
7
Domains
10.1 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:8,734 chars
Detector Agreement:100%
Language mismatch: Declared as np but detected as ne

Website Classification

Primary Category

government public service64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
64%
government
48%
news media journalism
28%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
48103.69.127.119Nepal
AS131341Department of Information Technology, Government of Nepal
47157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
952--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T147A30E5DE3B4B36B059EB8C7AA641E3BE9E16237C7721201B9EC73D64F85C70580325A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:H5jOMbkMpbFrYMyMC4jkX+T4j0Gc/9+afjTzCdS0SCS9MDTKO7jXoRypJDQO7:BbkMpbFrYM3/8dS0SCS+eO7kRyp37

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100648:wcQZAAHVQVDoUQA5gF0A0uYGNANgNAAQAVAgIEBXMGhIEAC4gAfkwhivLTwCZGgHJAqpLKAjjJqJMjAGqoug0oIAYgCSAgyN

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:ff000fe1e1e1ffef
Perceptual Hash:e1149a6ee1b1b39c
Difference Hash:f0e29c07874351df
Wavelet Hash:7f000ec0e0e1fd6f
Color Hash:#7994d2

Scan History

Scan history not available

Unable to load historical scan data