Security Scan Report: bannigadhijaygadhmun.gov.np

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Submitted: May 22, 2026, 3:01:52 AMCompleted: May 22, 2026, 3:04:54 AMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 84 HTTP transactions. The main domain is bannigadhijaygadhmun.gov.np.

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

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

The site exhibits strong suspicious signals (circular redirect, unknown age, unranked domain) and is classified as high risk.

Risk Factors
Circular redirect (strong indicator of URL manipulation)
Unranked domain with unknown age
Medium IDS alerts indicating possible hidden malware content
Domain age information unavailable

Details

Page Title

बान्नीगढी जयगढ गाउँपालिका, सुदूरपश्चिम प्रदेश,अछाम | समृद्धिको आधार : बान्नीगढी सरकार

Scan Type

public

Language

🇳🇵

NE

(35% confidence)

Category

government public service

(82%)

Domain Information

The domain 'bannigadhijaygadhmun.gov.np' uses the Nepalese country-code top-level domain (.gov.np). The second-level label 'bannigadhijaygadhmun' is 20 characters long with seven vowels and 13 consonants. Word splitting yields 8 words: ban, nig, adh, i, jay, g, adh, mun. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

66.54s
Total Load Time
114
HTTP Requests
4
Domains
2.6 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:35%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:35%
Script Type:Unknown
Text Length:4,606 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
82%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
28103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
28142.251.14.95United States
AS15169Google LLC
28142.251.14.94United States
AS15169Google LLC
1144--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13883742287F3B152019EA0D561159B37C7CEDE36CE23C609B7AC59464BC9E35C8E236B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lOOdOxJflS9fks0SOvvUPih4gzTyH7vTMn:QlS9cFS+MPih4gzTanMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85451:JAOUQgS+CJAZ7ag0RAWYLi4QpAAwDQBBCpUDyVEA5IssgEl4RoKQpQgEADgLdARbLoihLBHBdkgCKIEIPBAgAthRQIkqsGVc

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:ffff00000000ffff
Perceptual Hash:ca9aed17d8f221a4
Difference Hash:61398115d5c9cb03
Wavelet Hash:ffff00000000ffff
Color Hash:#40bf79

Scan History

Scan history not available

Unable to load historical scan data