Security Scan Report: remaining-coffee-9wzprnrzjt-zcq4q11zag.edgeone.app

Submitted: Mar 6, 2026, 12:48:27 PMCompleted: Mar 6, 2026, 12:49:44 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 1 HTTP transaction. The main domain is remaining-coffee-9wzprnrzjt-zcq4q11zag.edgeone.app and was registered NaN years ago.

Submitted URL: https://remaining-coffee-9wzprnrzjt-zcq4q11zag.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Empowerment of Women through Subhadra Yojana in Odisha

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(71%)

Domain Information

You're looking at domain 'remaining-coffee-9wzprnrzjt-zcq4q11zag.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'remaining-coffee-9wzprnrzjt-zcq4q11zag'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://remaining-coffee-9wzprnrzjt-zcq4q11zag.edgeone.app/

Page Load Overview

2.58s
Total Load Time
14
HTTP Requests
6
Domains
1.6 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:47,203 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service71% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
71%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4151.101.65.229United States
2142.251.208.10United States
2104.17.24.14United States
2142.250.186.67United StatesUnknown
243.152.26.58United StatesUnknown
2104.26.2.143United States
AS13335Cloudflare, Inc.
146--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC343B21F5F0223B886742AAD7D13BAB1D75D58BC6864684F3BE01A02FC3DF4A593746

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Ehw2r5beFP4GQ9ckhg4+YeVtvbfC7SWAuckhg4+YeVtNuDR3AW1fK6RPlOSC9I:EhwrEYXZNORCI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:251763:A7RAB4VDIiQ0ACgCF4BhNiHzBAMSgPEPQEAB98yOiEuTFCgGALNTALiCQAEMI3KIDjgiiSARsZB8wQ4LhkRIwABQBG4Aw0wC

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:ff80f0f0fbffffff
Perceptual Hash:c848b7b7854cc7c6
Difference Hash:9831b1b3a38c2500
Wavelet Hash:6f00007030ffd5ff
Color Hash:#862d37

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data