Security Scan Report: dccbhaktapur.gov.np

Redirected to:
https://dccbhaktapur.gov.np/
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Submitted: Jun 15, 2026, 12:15:15 AMCompleted: Jun 15, 2026, 12:16:50 AMpubliccompleted
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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 dccbhaktapur.gov.np.

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

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

AI Security Verdict

Moderate Risk

Confidence: 85%

4
Risk Score

Informational government page with no malicious activity detected; moderate risk due to heavy script obfuscation but no concrete threats.

Risk Factors
JavaScript obfuscation score marked as CRITICAL
Multiple eval() calls in page scripts
External resources loaded from Facebook and Google domains
Safety Factors
Government .gov.np domain
No form fields that collect user credentials
Absence of malicious IoC, YARA, or IDS detections
Content appears to be informational about a district
Domain age information unavailable

Details

Page Title

जिल्ला समन्वय समिति भक्तपुर

Scan Type

public

Language

🇳🇵

NE

(70% confidence)

Category

government

(48%)

Domain Information

Within the Nepalese country-code top-level domain (.gov.np), 'dccbhaktapur.gov.np' is registered without a subdomain. Count 12 characters in 'dccbhaktapur' split between 3 vowels and 9 consonants. It segments into four words: dc, c, bhakta, pur. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

23.55s
Total Load Time
128
HTTP Requests
13
Domains
19.2 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:70%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:70%
Script Type:Unknown
HTML Lang Attribute:np
Text Length:13,491 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%
healthcare medical
42%
government public service
37%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44142.251.13.91United States
AS15169Google LLC
42157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
42103.69.127.119Nepal
AS131341Department of Information Technology, Government of Nepal
1283--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DBC3FC5DE7B8F33B06DEB8CA65281E3AEDE06237C3760246B9AC67D65F85C704403259

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:E9k1pu83XNLlxelEWdePmlfWueelb6upsgOtdypsfB:E9kP3b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124102:AUU5IRgsAiQwCECYJiKELRYoReQcAuQCeKQAB5JQAgAKYBwgMmjQW4QpCJApDSrF4KQYE1k0EQqLckAwWIQqQUGAMA1ECMos

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:ff0003e3c1c1ffff
Perceptual Hash:e1149c61f39e259b
Difference Hash:e0e0c70f8b87c101
Wavelet Hash:7f0003e0c0c1fdff
Color Hash:#c587b0

Scan History

Scan history not available

Unable to load historical scan data