Security Scan Report: urjapay.andamannicobar.gov.in

Submitted: Oct 5, 2026, 10:13:10 AMCompleted: Oct 5, 2026, 10:13:48 AMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is urjapay.andamannicobar.gov.in and was registered 1 year 5 months ago.

Submitted URL: https://urjapay.andamannicobar.gov.in/aviator/nobel-prize-2026-winners-list-2/

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

404 error page on a government payment subdomain; no forms, malware, or threat-intel hits. Odd URL path hints at possible SEO injection elsewhere, but this page serves nothing harmful.

Risk Factors (2)
Anomalous off-topic URL path on a government payment domain suggests possible SEO-spam/content-injection activity elsewhere on the site
Domain is unranked in Cisco Umbrella with a low business-legitimacy score (15/100)
Safety Factors (4)
Page serves no forms, no scripts from third parties, and no downloadable content
No Indicators of Compromise, YARA, IDS or Safe Browsing hits
Domain age ~517 days (established)
All JavaScript, if any, originates from the site's own domain
Domain age information unavailable

Details

Page Title

404 - Not Foundother network

Scan Type

public

Domain Name Analysis

The domain 'urjapay.andamannicobar.gov.in' uses the Indian country-code top-level domain (.gov.in) with subdomain 'urjapay'. The registrable portion 'andamannicobar' spans 14 characters with 6 vowels and 8 consonants. Word splitting yields 2 words: andaman, nicobar. Expect seven characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://urjapay.andamannicobar.gov.in/aviator/nobel-prize-2026-winners-list-2/

Page Load Overview

2.38s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Text Length:101 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
real estate property
37%
news media journalism
32%
healthcare medical
30%
adult content
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3117.251.201.87Chennai, Tamil Nadu, India
AS9829National Internet Backbone
31--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13911C06F84E0221641831051ADE063076FC0CB8BC65F86803B6C5FA22FE3DEBD947988

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:h3cspFRXUN4KxGnDSGaagVUr9qFzdEF+pDVU28xBlGaampqjcj:h3csvREHGaatrEmF+pC28VPa1gj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:891:AECAASEAAAAAAAAAAAAAAAAAAAAIAAACAIAAIAAEAAAAAAUAAAAAAAAAAAgEBAAAIAAAABAAAACAAAFCAAAAAAAAAAAAAAAB

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:e7e7ffffffffffff
Perceptual Hash:e66666668c999999
Difference Hash:0c0c000000000000
Wavelet Hash:07070f0f0f0f0f0f
Color Hash:#6a2d86

Other Hashes

Crop Resistant:0c0c000000000000

Scan History

Scan history not available

Unable to load historical scan data