Security Scan Report: dccmanang.gov.np

Redirected to:
https://dccmanang.gov.np/
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Submitted: Jun 10, 2026, 11:38:05 AMCompleted: Jun 10, 2026, 11:40:56 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 dccmanang.gov.np.

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

Effective URL: https://dccmanang.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 malicious indicators.

Safety Factors
Government domain (.gov.np)
Absence of malicious signals (IoC, YARA, IDS alerts)
Informational article content
Domain age information unavailable

Details

Page Title

जिल्ला समन्वय समिति मनाङ

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

government public service

(79%)

Domain Information

Within the Nepalese country-code top-level domain (.gov.np), 'dccmanang.gov.np' is registered. The core label 'dccmanang' covers 9 characters with 2 vowels and 7 consonants. Segmentation suggests three words: dc, cma, nang. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

95.17s
Total Load Time
107
HTTP Requests
12
Domains
8.2 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:5,371 chars
Detector Agreement:100%
Language mismatch: Declared as np but detected as ne

Website Classification

Primary Category

government public service79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
79%
finance banking
63%
government
48%
news media journalism
41%
adult content
33%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
35142.251.127.91United States
AS15169Google LLC
35103.69.127.119Nepal
AS131341Department of Information Technology, Government of Nepal
1073--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E883419AE3F4B22B019EB4C6A6241F3AEDD29237C7370206B6FC67965F85C71540329D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vok1pufJynb2V80z+If7TzCxsXXyWDNeOubXUtypCQOr:gk1pufJm0KYwOuotypsr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85162:UKOIEyUJgyEgPxqAEQNTENHDYASKBulYZsegrAgaARgIWB4H8NAQBRKAAwIBNAMNEZKAAACRgmJkUSdaAsYCyE10QKMEJmAM

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:3f00ffffffffffff
Perceptual Hash:9e1e0e858785abe9
Difference Hash:e0b8010000000001
Wavelet Hash:00000e0efefefe00
Color Hash:#79c2d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data