Security Scan Report: doib.gov.np

Submitted: Jan 10, 2026, 6:30:00 AMCompleted: Jan 10, 2026, 6:32:57 AMpubliccompleted
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Summary

This website contacted 14 IPs in 4 countries across 12 domains to perform 105 HTTP transactions. The main domain is doib.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no detected security threats.

Safety Factors
Government .gov domain
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Unranked status not accompanied by any other suspicious signals
Domain age information unavailable

Details

Page Title

Department of Information and Broadcasting

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(69%)

Domain Information

The domain 'doib.gov.np' uses the Nepalese country-code top-level domain (.gov.np) and has no subdomain. The core label 'doib' covers 4 characters containing 2 vowels alongside two consonants. Breaking it apart gives 2 words: do, ib. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

90.31s
Total Load Time
105
HTTP Requests
12
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:6,535 chars
Detector Agreement:40%

Website Classification

Primary Category

government public service69% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
69%
news media journalism
66%
documentation technical
55%
government
48%
education learning
44%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.17.24.14United States
AS13335CLOUDFLARENET
7104.16.175.226United States
AS13335CLOUDFLARENET
752.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7142.250.186.163United States
AS15169GOOGLE
713.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7103.69.124.99Nepal
AS131341Department of Information Technology, Government of Nepal
7104.18.0.22United States
AS13335CLOUDFLARENET
7157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
713.226.244.119United States
AS16509AMAZON-02
7142.250.186.138United States
AS15169GOOGLE
10514--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16734A519A3F07126019BB1E66B343E3BEE95A133C11A5D40B4FC9BD95FC2FA19C07299

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:HIEiEt8XOx3donz4St77Het7Z6as6qVPP7EEs:HIEiEqzXt77Het7Z6as6qVPP7EEs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:240670:oSCCBZwoFK4QNhIByWBD1EYTAYqkogCABSJQNA4glLQMgRpiEARE4VOwMcIQNQwg0RiAIcdQNiJBBwk4WSRMgGAgApKBhCAN

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:19191d1919191911
Perceptual Hash:88d5710ffa619f90
Difference Hash:313131b13133b131
Wavelet Hash:1d1f1f191d191919
Color Hash:#8aac53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data