Security Scan Report: dear-plum-xf99vjtn1a-8g5w78ep6f.edgeone.app

Submitted: Feb 21, 2026, 2:51:46 PMCompleted: Feb 21, 2026, 2:53:02 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is dear-plum-xf99vjtn1a-8g5w78ep6f.edgeone.app and was registered NaN years ago.

Submitted URL: https://dear-plum-xf99vjtn1a-8g5w78ep6f.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: 92%

0
Risk Score

No malicious activity detected; the site appears safe.

Safety Factors
No credential or payment forms present
Standard hosting platform with no known malicious activity
Low JavaScript obfuscation score (standard minification)
Domain age unknown but no suspicious behavior detected
Domain age information unavailable

Details

Page Title

dear-plum-xf99vjtn1a-8g5w78ep6f.edgeone.app

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'dear-plum-xf99vjtn1a-8g5w78ep6f.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'dear-plum-xf99vjtn1a-8g5w78ep6f'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Splitting it apart reveals 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dear-plum-xf99vjtn1a-8g5w78ep6f.edgeone.app/

Page Load Overview

1.29s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:38 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T1B9048E77329A063986558498F05B43099F21B143F506C8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:vfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz02bMy8Oldy:whoC9JSqzzbs6o3Sj3gcrsA2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184606:IFIhAUBIQkzCxMgcEmrU3lkAwAT04CJNAEQIQADNGMlwY5WEgYHgMAMDxKCEIEYAESMpDmApIkylQwbBEIYRgImQ+CTYaL0S

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00181c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#2d5986

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data