Security Scan Report: dccsindhuli.gov.np

Redirected to:
https://dccsindhuli.gov.np/
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Submitted: May 30, 2026, 4:32:42 AMCompleted: May 30, 2026, 4:34:14 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 1 HTTP transaction. The main domain is dccsindhuli.gov.np.

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

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

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Low‑risk government information page; no phishing or malware indicators detected.

Risk Factors
Critical JavaScript obfuscation score (high entropy, base64, eval) without malicious payload
Safety Factors
Government domain suggests legitimate public service
Absence of forms or credential collection
No external threat intelligence matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

जिल्ला समन्वय समिति सिन्धुली

Scan Type

public

Language

🇳🇵

NE

(70% confidence)

Category

government public service

(57%)

Domain Information

Domain 'dccsindhuli.gov.np' uses the Nepalese country-code top-level domain (.gov.np) while skipping any subdomain. Count 11 characters in 'dccsindhuli' with 3 vowels and eight consonants. Segmentation suggests 4 words: dc, c, sindhu, li. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

22.70s
Total Load Time
127
HTTP Requests
13
Domains
24.3 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:70%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:70%
Script Type:Unknown
HTML Lang Attribute:np
Text Length:22,632 chars
Detector Agreement:100%
Language mismatch: Declared as np but detected as ne

Website Classification

Primary Category

government public service57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
57%
government
48%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43142.251.13.91United States
AS15169Google LLC
42157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
42103.69.127.119Nepal
AS131341Department of Information Technology, Government of Nepal
1273--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CAE3AC4DE7B4F73A0AED78CA66181E3BE8E45236C7750246B9ECB3D65F85CB0040725A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Gk4l1ZJgWO/FIZgwdD34xXdy3JxmY56upsJ6z2Flx9e20gP4qoIZt+idO1uWLypW:Gk+JgW1ZgpwX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:157261:AkQMjhCLkrcIRbIgqUZA9PDpNebDB+AT95ApgASxKTAIQpiAsCQMAHcQId0UZokIASBoKoAWgASIAAQhFiRrEY6gQVKOAOnB

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:003c3c3c3c3c3c3c
Perceptual Hash:8f60701f609fa58f
Difference Hash:74e9696969696961
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#6ce0d2

Scan History

Scan history not available

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