Security Scan Report: dccdang.gov.np

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Submitted: Dec 12, 2025, 5:32:26 PMCompleted: Dec 12, 2025, 5:33:07 PMpubliccompleted
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Summary

This website contacted 94 IPs in 3 countries across 12 domains to perform 95 HTTP transactions. The main domain is dccdang.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Government .gov.np domain
Absence of credential or payment forms
No malicious Indicators of Compromise
No external domains or redirects
Page title matches Nepali government entity
Domain age information unavailable

Details

Page Title

जिल्ला समन्वय समिति दाङ

Scan Type

public

Language

🇳🇵

NE

(48% confidence)

Category

government public service

(92%)

Domain Information

You're looking at domain 'dccdang.gov.np' on the Nepalese country-code top-level domain (.gov.np) without a subdomain. Count 7 characters in 'dccdang' containing 1 vowel alongside 6 consonants. Breaking it apart gives three words: dc, c, dang. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

11.40s
Total Load Time
95
HTTP Requests
12
Domains
11.7 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:48%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:48%
Script Type:Unknown
HTML Lang Attribute:np
Text Length:7,026 chars
Detector Agreement:100%
Language mismatch: Declared as np but detected as ne

Website Classification

Primary Category

government public service92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
92%
documentation technical
73%
news media journalism
62%
government
48%
adult content
29%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.217.18.14United States
AS15169GOOGLE
1142.250.184.228United States
AS15169GOOGLE
1142.250.185.110United States
AS15169GOOGLE
1142.251.140.174United States
AS15169GOOGLE
1142.250.186.138United States
AS15169GOOGLE
1142.250.185.142United States
AS15169GOOGLE
1142.250.186.99United States
AS15169GOOGLE
1142.250.185.174United States
AS15169GOOGLE
1142.251.208.2United States
AS15169GOOGLE
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
9594--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135735159E3F4B22B029EB8C669241F3AEDE19137C3371206B6EC67DA5FC5C715803269

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jkk6pBzQyb6DfuQLe0fXTzPLMnwo2/7z3ybNDSOX5X6XblypCQOT:Ak6pBzQlHzzwSOX5X8lypsT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78002:VksQhLQQgAByKMKhAjAgwYiHQeaEAchAMYOapBCOlyggEQgJOJMlTEkCAERQlpAQVhcMGw2CBc2WBBgpIAAB5EiERwdEQIIw

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:ff000fe1e1e1efff
Perceptual Hash:e31e9c65e093a39c
Difference Hash:60f05b0b0bcfd907
Wavelet Hash:ff0001c1c1c16fff
Color Hash:#2dd269

Scan History

Scan history not available

Unable to load historical scan data