Security Scan Report: card-cc-user-1iqfxyw0y7.edgeone.app

Submitted: Feb 19, 2026, 12:31:32 PMCompleted: Feb 19, 2026, 12:33:07 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is card-cc-user-1iqfxyw0y7.edgeone.app and was registered NaN years ago.

Submitted URL: https://card-cc-user-1iqfxyw0y7.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 suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript malware detected
No phishing indicators in OCR or HTML
Domain age information unavailable

Details

Page Title

card-cc-user-1iqfxyw0y7.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(72%)

Domain Information

The domain 'card-cc-user-1iqfxyw0y7.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'card-cc-user-1iqfxyw0y7'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. It segments into 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://card-cc-user-1iqfxyw0y7.edgeone.app/

Page Load Overview

8.15s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:801 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software72% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
45%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz02bMy8Oldg:LhoC9JSqzzbs6o3Sj3gcrsg2eAu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184566:gYEmIwYaAKqUGQgvXDBoAiRo9oCABCSIrykAETqgBfOFWLjjJDhAjCaUACkCQCJIiWEiRcE0eAYJBUZIYBJEIRMAVrAg0AIK

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:b131cccccc676363
Difference Hash:00180c1400000000
Wavelet Hash:f3d3c3cf00000000
Color Hash:#1f9335

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data