Security Scan Report: dccsiraha.gov.np

Submitted: Jan 11, 2026, 3:51:36 AMCompleted: Jan 11, 2026, 3:57:33 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 61 HTTP transactions. The main domain is dccsiraha.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Government‑level domain (.gov.np)
Absence of credential‑harvesting or payment collection forms
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

जिल्ला समन्वय समिति सिराहा

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

real estate property

(98%)

Domain Information

The domain name 'dccsiraha.gov.np' uses the Nepalese country-code top-level domain (.gov.np) while skipping any subdomain. The second-level label 'dccsiraha' is 9 characters long holding 3 vowels versus six consonants. It segments into 4 words: dc, csi, rah, a. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

95.17s
Total Load Time
49
HTTP Requests
3
Domains
7.1 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:5,149 chars
Detector Agreement:100%
Language mismatch: Declared as np but detected as ne

Website Classification

Primary Category

real estate property98% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
98%
government public service
74%
government
48%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46103.69.127.119Nepal
AS131341Department of Information Technology, Government of Nepal
16142.251.208.10United States
AS15169GOOGLE
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
493--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13A731E9ED3F0B36F059FB8CB95241F3AE8D1523BC7320201B5ED67955F89C6168072AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Vkapdc49TPTJy33M/tbdwYr+G+ifLD6TzotbQDjsORdXkrypJDQOZ:Vkapdc49TPTJ7tdyIDhqQORiryp3Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79066:IgIgj4gSXiDgEyrIIg9QUvAgSugBVICQEI4DkLAMAmDGRdMqCTNKxyZtQUFYATEqxAiAYCVICgQVQF8RNxpIwWMUEE0aoCSx

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:3e00ffffffffffff
Perceptual Hash:850502878a97bffd
Difference Hash:e0c0220000000001
Wavelet Hash:0000fefec2c2fe00
Color Hash:#d22d32

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data