Security Scan Report: bollixflow.com

Submitted: May 5, 2026, 11:23:41 PMCompleted: May 5, 2026, 11:24:51 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is bollixflow.com and was registered NaN years ago.

Submitted URL: https://bollixflow.com/

AI Security Verdict

Moderate Risk

Confidence: 85%

5
Risk Score

New, unranked site with no forms or malicious activity; moderate risk primarily due to its age.

Risk Factors
Very new domain (<7 days)
Unranked domain reputation
Safety Factors
No login or payment forms
No malicious JavaScript or credential exfiltration
Self‑branding matches the domain
Domain age information unavailable

Details

Page Title

Bollixflow

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain 'bollixflow.com' uses the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'bollixflow' stretches across 10 characters containing three vowels alongside seven consonants. Segmentation suggests three words: bol, lix, flow. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bollixflow.com/

Page Load Overview

1.49s
Total Load Time
4
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
463.176.8.218Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
41--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14B44F871B5E1243159AB48A775AA878D3021D107CC4BD300FA7EE5902FD6FE39A7B9C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:SlATuYnbSfi2wGL03aot6127At3zTpsTqkTPKmqVkZis+iKHGw1zJSGocwUEe:/si2nYKI611t3BkTP2wisjozJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:260814:sCgriKMNEuoAKSAo0UIuwEgDgkOAHCpIAIWADCJMI5vibSJAA4wwDGA4rlCBUCIgBhmCoZmHMEAdFgBXEmTUAREAHKIFGISB

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:ffffe7efe7e7ffff
Perceptual Hash:b399cc2633996666
Difference Hash:001028184c0c0000
Wavelet Hash:f0f0e0e8c4c4e4ec
Color Hash:#bc79d2

Other Hashes

Crop Resistant:001028184c0c0000

Scan History

Scan history not available

Unable to load historical scan data