Security Scan Report: flolum.com

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Submitted: Jul 2, 2026, 1:55:45 PMCompleted: Jul 2, 2026, 1:57:04 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 flolum.com and was registered NaN years ago.

Submitted URL: https://flolum.com/dry-dan-dan-noodles/

AI Security Verdict

Safe Website

Confidence: 94%

0
Risk Score

The site shows no malicious activity, uses its own brand, and is old and reputable.

Safety Factors
Old, well‑established domain
Self‑branding, not impersonating another brand
Only email subscription forms (non‑credential)
No malicious network or script behavior
Domain age information unavailable

Details

Page Title

Dry Dan Dan Noodles – Flo Lum

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(64%)

Domain Information

The domain name 'flolum.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The second-level label 'flolum' is 6 characters long containing 2 vowels alongside four consonants. Tokenizing the label suggests 3 words: flo, lu, m. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://flolum.com/dry-dan-dan-noodles/

Page Load Overview

4.55s
Total Load Time
101
HTTP Requests
12
Domains
4.1 MB
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-US
Text Length:64,169 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media64% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
64%
blog personal website
62%
adult content
45%
documentation technical
26%
forum
25%

Detected Features

Articles
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10154.39.51.72Beauharnois, Quebec, Canada
AS16276OVH SAS
1011--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T195B47331F840293FAA3B44C4E64AD70A71D6A31FF4E90450D5E6076C4AE9E78F52E2E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:5l9engxyHko0NHnXwEitQ2yhccwWtPZtfhVeDRH5d3hianxUerm0OsutW0J1Q/Rj:5kHko0tn8To0hiLfqKch

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500173:o5QEpxkOwCIqITecTAQAeg2CIKRUUk0ZSUSCDKQAhQBgaAkQIBYJk0AihAgSIGgSRVAprNMMqUQhCU5yFAAEFsPsOBhoIGQK

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:ffffff81dbffffff
Perceptual Hash:bf2fc0c03f3fc0c0
Difference Hash:0000012323000000
Wavelet Hash:f3f3818100000000
Color Hash:#652d86

Other Hashes

Crop Resistant:0000012323000000

Scan History

Scan history not available

Unable to load historical scan data