Security Scan Report: dccmorang.gov.np

Submitted: Jan 14, 2026, 9:30:28 AMCompleted: Jan 14, 2026, 9:33:16 AMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 55 HTTP transactions. The main domain is dccmorang.gov.np.

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

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Low risk site with no suspicious activity detected.

Safety Factors
No malicious Indicators of Compromise matches
No credential or payment collection forms
Government‑type TLD (.gov.np) indicates official use
Content could not be fetched but no red‑flag indicators were reported
Domain age information unavailable

Details

Page Title

जिल्ला समन्वय समिति मोरङ

Scan Type

public

Language

🇳🇵

NE

(71% confidence)

Category

government public service

(75%)

Domain Information

Within the Nepalese country-code top-level domain (.gov.np), 'dccmorang.gov.np' is registered and has no subdomain. Count 9 characters in 'dccmorang' holding 2 vowels versus 7 consonants. Word splitting yields 3 words: dc, cm, orang. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

90.15s
Total Load Time
111
HTTP Requests
7
Domains
21.1 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:20,108 chars
Detector Agreement:100%
Language mismatch: Declared as np but detected as ne

Website Classification

Primary Category

government public service75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
75%
government
48%
documentation technical
44%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30142.250.185.202United States
AS15169GOOGLE
27142.250.185.67United States
AS15169GOOGLE
27157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
27103.69.127.119Nepal
AS131341Department of Information Technology, Government of Nepal
1114--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CCA3AA8DE7F4F37A09DCB88B66680E3BD9E45233C3361242B99CB6DA5F85C704447269

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3e2u6ykrpBINbWA4Yvrwrp1HI/gwj56hVXug68O6QQKGPt7pzdorYhpO0+Dyu:3e2u6ykr9RC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:103188:gGAQcwYl0B5RghF1QSBMEIZToJZoiDgYIEAQICucRIwDCEAEHCIjKUEwKDn9aXRVUMOJbDeiBQDRAKQISpQZgAQh6ABBiCgA

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:7e00ffffffffffff
Perceptual Hash:850505858787afff
Difference Hash:e0c0010000000001
Wavelet Hash:00003e3efefefe00
Color Hash:#bf5b40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data