Security Scan Report: neat-lime-pynozfp0de-jiat9iwqzx.edgeone.app

Submitted: Feb 9, 2026, 12:49:02 PMCompleted: Feb 9, 2026, 12:51:21 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is neat-lime-pynozfp0de-jiat9iwqzx.edgeone.app and was registered NaN years ago.

Submitted URL: https://neat-lime-pynozfp0de-jiat9iwqzx.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No credential or payment collection forms
No detected JavaScript malware
Domain age information unavailable

Details

Page Title

neat-lime-pynozfp0de-jiat9iwqzx.edgeone.app

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'neat-lime-pynozfp0de-jiat9iwqzx.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'neat-lime-pynozfp0de-jiat9iwqzx'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Splitting it apart reveals two 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://neat-lime-pynozfp0de-jiat9iwqzx.edgeone.app/

Page Load Overview

33.25s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:16 chars
Detector Agreement:0%

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

T168048F773296063986558498F05B43099F20B143F50AC9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:sfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszK2bMy8OldY:PhoC9JSqzzbs6o3Sj3gcrsm2eA2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184606:gLAqCOB6FewLuIEEgECp2yBCwgAFBoEbbUQp2DEtDJhQBFAyApmEBAlQoiC5BOgMAQEdC8AdSCDlWRREPWIYGXBCAACAErdg

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:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#1f5093

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data