Security Scan Report: tracookiepixel.xyz

Submitted: Dec 4, 2025, 12:16:34 PMCompleted: Dec 4, 2025, 12:18:35 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is tracookiepixel.xyz and was registered NaN years ago.

Submitted URL: https://tracookiepixel.xyz/

The Cisco Umbrella rank of the primary domain is #6,725 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
High Cisco Umbrella ranking
Absence of credential or payment collection fields
No known malicious Indicators of Compromise
No phishing or malware indicators detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

unknown

(0%)

Domain Information

Within the open generic top-level domain (.xyz), 'tracookiepixel.xyz' is registered and has no subdomain. The core label 'tracookiepixel' covers 14 characters split between seven vowels and 7 consonants. Splitting it apart reveals three words: tra, cookie, pixel. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tracookiepixel.xyz/

Page Load Overview

0.13s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:71%
Script Type:Latin
Text Length:44 chars
Detector Agreement:100%

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
235.156.177.244Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
018.158.143.196Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
052.57.156.162Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
23--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0D023B1C010150E67725BDCAD81610C5FC5B10ED0315C4179C8F09485C6D07D403644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iL9RASAJdIANRjAF7LGF8X022S8K4FLfRD:qzxV/5VHHQYk/B96DJdIWg+5jNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:7b573e97a75c5e25ba94e74441dfdffb

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:00ffffffffffffff
Perceptual Hash:99191b1b1f0f0f47
Difference Hash:f020000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#b96ce0

Other Hashes

Crop Resistant:f020000000000000

Scan History

Scan history not available

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