Security Scan Report: yammering-apricot-3v18pbpjvn-r8ka851g8g.edgeone.app

Submitted: Mar 21, 2026, 3:10:51 AMCompleted: Mar 21, 2026, 3:11:58 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is yammering-apricot-3v18pbpjvn-r8ka851g8g.edgeone.app and was registered NaN years ago.

Submitted URL: https://yammering-apricot-3v18pbpjvn-r8ka851g8g.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

No malicious activity detected, but the new subdomain on a hosting platform warrants caution.

Risk Factors
Subdomain on hosting platform with unknown age (potentially newly created)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Content appears to be informational only
Domain age information unavailable

Details

Page Title

SRM2 Loss Reserving

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

government public service

(64%)

Domain Information

The domain name 'yammering-apricot-3v18pbpjvn-r8ka851g8g.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'yammering-apricot-3v18pbpjvn-r8ka851g8g'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. Segmentation suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://yammering-apricot-3v18pbpjvn-r8ka851g8g.edgeone.app/

Page Load Overview

0.40s
Total Load Time
2
HTTP Requests
1
Domains
16 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:21,449 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service64% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
64%
documentation technical
62%
finance banking
61%
adult content
58%
education learning
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B6337471E1C8843BA86375EAA4653F8FF0D0C631C371152699AF8EE7CAC5CB2951364B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:KzVPyVSGYPTm0eP9fngDNut+iuYCIPtmD9FvM:Mqg4QNuAEv2vU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50135:gyAAApI4yhg/AlthRKIBq4AEUjdUVAQgEKOQUhEUIAR4ACmhRoZYrEWpjyLKRQMvKXFZCYQ5UAbBCgQAcRQxXge2gopSBUZF

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:c3c3c3ffffffffff
Perceptual Hash:b475353131747565
Difference Hash:969696b49e949494
Wavelet Hash:c2c2c3c3c7c7c3c3
Color Hash:#799bd2

Scan History

Scan history not available

Unable to load historical scan data