Security Scan Report: dccrautahat.gov.np

Redirected to:
https://dccrautahat.gov.np/
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Submitted: Jun 12, 2026, 8:05:31 PMCompleted: Jun 12, 2026, 8:07:10 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is dccrautahat.gov.np.

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

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

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

The site appears to be a legitimate government page with no evidence of phishing, malware, or other scams.

Safety Factors
Government domain (gov.np)
No malicious signals detected
External resources are standard CDNs (Facebook, Google Fonts)
Domain age information unavailable

Details

Page Title

जिल्ला समन्वय समिति रौतहट

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

government

(48%)

Domain Information

The domain name 'dccrautahat.gov.np' uses the Nepalese country-code top-level domain (.gov.np). The core label 'dccrautahat' covers 11 characters split between 4 vowels and 7 consonants. Segmentation suggests five words: dc, cr, a, utah, at. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

29.90s
Total Load Time
132
HTTP Requests
8
Domains
12.9 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:7,535 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%
government public service
47%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
66157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
66103.69.127.119Nepal
AS131341Department of Information Technology, Government of Nepal
1322--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12F931D59E3F0F26B02AEB4C5A6241F3AEDD15237C7320605B6FC2BEA5F89C715413269

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jJurkmpuMg39IhEoP+AfSTzoWI+KktI+vvZXMDtCOazXIRypCQO3:jJ6kmpuxIhbFWI+tI+iEOa0Ryps3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:92749:jgFBCxREVUMFgwAYTIRVUMAkp6ErEYCBgMMqBVritAA7ADhAoAsaOROMGREBZCQFMSkCBlEAgREKwwIAqCqiCgKBMZhA8RCA

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:ff00ff9f030303ff
Perceptual Hash:afc0c12cd2afeca1
Difference Hash:60f0d56d0f2757d9
Wavelet Hash:ff007f87030303ef
Color Hash:#67783a

Scan History

Scan history not available

Unable to load historical scan data