Security Scan Report: deefbeh.pixelocon.com

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Submitted: Jan 18, 2026, 2:57:25 AMCompleted: Jan 18, 2026, 2:58:44 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 9 HTTP transactions. The main domain is deefbeh.pixelocon.com and was registered NaN years ago.

Submitted URL: https://deefbeh.pixelocon.com/s/f78cbb412b6b9?subsource=rkke

AI Security Verdict

Moderate Risk

Confidence: 78%

3
Risk Score

Adult content site with a circular redirect; no credential collection but recent unranked domain suggests moderate risk.

Risk Factors
Circular redirect detected (strong indicator of URL manipulation)
Recently registered, unranked domain
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches found
HTTPS connection (secure transport)
No external domains linked
Domain age information unavailable

Details

Page Title

Exclusive Fuck Sites

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'deefbeh.pixelocon.com' uses the commercial generic top-level domain (.com) and includes subdomain 'deefbeh'. Count 9 characters in 'pixelocon' with four vowels and five consonants. It segments into 3 words: pixel, oc, on. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://deefbeh.pixelocon.com/s/f78cbb412b6b9?subsource=rkke

Page Load Overview

5.24s
Total Load Time
9
HTTP Requests
4
Domains
48 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:1,324 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.1.22United States
AS13335CLOUDFLARENET
2142.251.38.67United States
AS15169GOOGLE
2142.251.38.74United States
AS15169GOOGLE
281.30.157.12Germany
AS24961WIIT AG
94--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T149531B5938E7303A026335E91BAFE20876765507710E8C00B9BD47982FE4F69527BFE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:o3jEqD6zt59qvqAPbBRvB3ACfaYOTQpz0eEdAfHupQSbpjHfx9vKa:Bu6tgVRvB3ACfaYT0eESHE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:65711:C8YwCJGKGoFBwc0QFmrSIFM4m+BxqIMICOBMECGYBEAGTIJScEAVFhAeElMgQLECYIwN1FyRoADM4RADETQAgyKbISzUpECi

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:fffdf1a0a4c0f8fd
Perceptual Hash:eaadd813b46425ec
Difference Hash:414967454d596991
Wavelet Hash:fff9b1808080f0fd
Color Hash:#ac53a3

Scan History

Scan history not available

Unable to load historical scan data