Security Scan Report: ai-code-reviewers-comparison-fux961hvj5.edgeone.app

Submitted: Mar 24, 2026, 4:00:02 PMCompleted: Mar 24, 2026, 4:01:25 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is ai-code-reviewers-comparison-fux961hvj5.edgeone.app and was registered NaN years ago.

Submitted URL: https://ai-code-reviewers-comparison-fux961hvj5.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 suspicious activity detected; the site appears legitimate.

Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise
Low JavaScript obfuscation (standard minification)
No cross‑origin credential exfiltration observed
No redirects or external domains
Domain age information unavailable

Details

Page Title

AI Code Review Tools Comparison 2026

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

You're looking at domain 'ai-code-reviewers-comparison-fux961hvj5.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'ai-code-reviewers-comparison-fux961hvj5'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Splitting it apart reveals two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ai-code-reviewers-comparison-fux961hvj5.edgeone.app/

Page Load Overview

1.17s
Total Load Time
2
HTTP Requests
1
Domains
39 KB
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:38,858 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
corporate business
75%
documentation technical
73%
cryptocurrency blockchain
62%
government public service
46%

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

T117544E21E2F15576646394A0BBA59F5F2FC0E603C60A475437AC4AF66FCADF1D82328C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:n9C7WRYuK3rn5Hp54tUhIFPwgv8vE+Xs7ExWjzU+ZaevQDUg3xoDH:gDkAYeE+XW4uQoJDH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:298631:BMEAKL4KuCgMjBTglqlkqMUEEQyiCp5ACvHAFAE0BCCBBIBtoFFCJBAhiSGEMEQKhgwEADClugGiBFJaFXARGBp5QGiDyVyb

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:3f19303c3c34383c
Perceptual Hash:8abca9b89ac36663
Difference Hash:f131c5f5f1c5d1d1
Wavelet Hash:3f19303d1d3d2939
Color Hash:#931f6d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data