Security Scan Report: dccsindhuli.gov.np

Submitted: Jan 6, 2026, 8:51:47 AMCompleted: Jan 6, 2026, 9:00:52 AMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 70 HTTP transactions. The main domain is dccsindhuli.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No security concerns identified; site appears legitimate.

Safety Factors
Government domain (.gov.np) typically trusted
Absence of credential or payment collection fields
No external malicious links detected
Domain age information unavailable

Details

Page Title

जिल्ला समन्वय समिति सिन्धुली

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

government public service

(61%)

Domain Information

Domain 'dccsindhuli.gov.np' uses the Nepalese country-code top-level domain (.gov.np) while skipping any subdomain. The core label 'dccsindhuli' covers 11 characters holding 3 vowels versus 8 consonants. Breaking it apart gives four words: dc, c, sindhu, li. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

110.22s
Total Load Time
70
HTTP Requests
4
Domains
4.6 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:7,118 chars
Detector Agreement:100%
Language mismatch: Declared as np but detected as ne

Website Classification

Primary Category

government public service61% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
61%
government
48%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19103.69.127.119Nepal
AS131341Department of Information Technology, Government of Nepal
17142.250.186.138United States
AS15169GOOGLE
17157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
17142.251.141.67United States
AS15169GOOGLE
704--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA93EC4DE7F4F736059DB8CA66281E3AEDE05237C7760242B9ECA7D69F85CB0040725A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ck/l1v8NBGLs+SfWTzo97dV3SxwODdO1LpktD:ck/l1v83GLQNdV3SxwidO1u5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91491:CguAAcohACxxKgjdLACQBIQjuIC3IDgSAoKEYs924UCBITF3RIogYKIEIhBRYRpRy8AARCAIkh0SACmQQwBIYlSou1lACagL

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:9c1c0e9d8f85a9e9
Difference Hash:e0a8000000000001
Wavelet Hash:0000fcfc3030fe00
Color Hash:#bf407b

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data