Security Scan Report: dccmorang.gov.np

Redirected to:
https://dccmorang.gov.np/
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Submitted: Jun 14, 2026, 7:14:09 PMCompleted: Jun 14, 2026, 7:15:46 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is dccmorang.gov.np.

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

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

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

The site appears to be a legitimate government article, but unknown age and heavily obfuscated JavaScript raise a moderate risk level.

Risk Factors
Unknown domain age combined with brand presence
Critical JavaScript obfuscation score
Unranked domain (not in top 1 M)
External resources loaded from Facebook domains
Safety Factors
No forms collecting credentials or payment data
No network IDS alerts or phishing signatures
Content classified as government public service (58% confidence)
Meta tags indicate article type, not brand impersonation
Domain age information unavailable

Details

Page Title

जिल्ला समन्वय समिति मोरङ

Scan Type

public

Language

🇳🇵

NE

(71% confidence)

Category

government public service

(58%)

Domain Information

The domain name 'dccmorang.gov.np' uses the Nepalese country-code top-level domain (.gov.np). Its registrable label 'dccmorang' stretches across 9 characters split between two vowels and seven consonants. Tokenizing the label suggests 3 words: dc, cm, orang. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

26.48s
Total Load Time
135
HTTP Requests
7
Domains
39.1 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:71%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:71%
Script Type:Unknown
HTML Lang Attribute:np
Text Length:12,148 chars
Detector Agreement:100%
Language mismatch: Declared as np but detected as ne

Website Classification

Primary Category

government public service58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
58%
government
48%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
68157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
67103.69.127.119Nepal
AS131341Department of Information Technology, Government of Nepal
1352--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118B3409DE3B4F32B069EB4CA72681F3BE9915237C7321102F6EC639A5F89C714407269

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Le2u6WktpBINbirxFmytuCR9xtY8P6mjp1Hv6hDyJ3zjllVXHQpO0LDypsfB:Le2u6WkJQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:116101:R2whRJMgEUw1ACAyKIAVoEGBqi4LXMLUmSoEWE8EvEnG8KBDBZZYwJAIMQS4MvCEFSHCZKJRgAR57MgEQCLcbgAC5FIQLgAB

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:ff1cc303030303ff
Perceptual Hash:acc0d21fc1b4e9a7
Difference Hash:e0e8979757372f2d
Wavelet Hash:ff3cc303030303ff
Color Hash:#879dc5

Scan History

Scan history not available

Unable to load historical scan data