Security Scan Report: slim-tomato-k7hnjlenck-sxl8ko2vuh.edgeone.app

Submitted: Apr 5, 2026, 9:02:03 PMCompleted: Apr 5, 2026, 9:03:21 PMpubliccompleted
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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 slim-tomato-k7hnjlenck-sxl8ko2vuh.edgeone.app and was registered NaN years ago.

Submitted URL: https://slim-tomato-k7hnjlenck-sxl8ko2vuh.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%

1
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Standard hosting platform with no known malicious activity
Absence of credential or payment collection forms
No cross‑origin credential exfiltration detected
No network IDS alerts or JavaScript malware signatures
Domain age information unavailable

Details

Page Title

Untuk Ahmad Abqari

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain 'slim-tomato-k7hnjlenck-sxl8ko2vuh.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'slim-tomato-k7hnjlenck-sxl8ko2vuh'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside three consonants. Breaking it apart gives two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://slim-tomato-k7hnjlenck-sxl8ko2vuh.edgeone.app/

Page Load Overview

0.55s
Total Load Time
2
HTTP Requests
1
Domains
1005 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:ms
Text Length:48 chars
Detector Agreement:100%
Language mismatch: Declared as ms but detected as id

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

T14E65F0320306BEC627A441AC41353BF89F46ED8F73B9714CA44A516997B7ADCD88DA33

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:ooMv/fmirgaI+ooabMMXax86WHwkSqoYBCuk7wbR6:4LgajTiM06WHOuY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1410362:9YStCAAQoABIBJcA9MAGbVIIAAoYEwSUmftKOAUiAacBAQiAIMBjGNjhAQHjYd6wkDApIQAMQOKJSRAAIAJJiA0PIVCBKNqg

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:0103031f1f1f0f1f
Perceptual Hash:8863335d8c778877
Difference Hash:fffff7f3f3f3ffff
Wavelet Hash:0303071f1f1f1f1f
Color Hash:#3a7878

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data