Security Scan Report: slutload.com

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Submitted: Jan 5, 2026, 10:21:00 AMCompleted: Jan 5, 2026, 10:22:42 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 3 domains to perform 8 HTTP transactions. The main domain is slutload.com and was registered NaN years ago.

Submitted URL: https://slutload.com

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate adult site with no detected security threats.

Safety Factors
Long‑standing domain
No malicious Indicators of Compromise
No credential or payment collection
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(71%)

Domain Information

Within the commercial generic top-level domain (.com), 'slutload.com' is registered and has no subdomain. Count 8 characters in 'slutload' with three vowels and 5 consonants. Splitting it apart reveals two words: slut, load. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://slutload.com

Page Load Overview

3.69s
Total Load Time
119
HTTP Requests
7
Domains
745 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:12,183 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
71%
adult content
46%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32104.16.79.73United States
AS13335CLOUDFLARENET
2974.122.168.1United States
AS53332C2HOSTING-01
29104.16.80.73United States
29104.18.94.41United States
1194--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A823B734962101BB17B4FE77179B7244021E345E702A3EAF4B79E58C7C9A0B56233E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:4+8cq4brJkxnw2jSGuYiGHgqR6alETX7oaGwam:2irJkxwGSGuAVR6aKXBG7m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19173:ogAQgEHwIUAsAOGNIGFMFUZL6iB0YXJQ2jEgA5hGKAAaFcgCk0SBjMgKimUgEQmPZlgQBgJGC0UBIADbwHOAWADCm0GDiCbM

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:dfc3c3ffffffffe7
Perceptual Hash:b0383089c7cfc7c7
Difference Hash:301c0c000000000c
Wavelet Hash:ffc3c3ff0c0c3c00
Color Hash:#8795c5

Other Hashes

Crop Resistant:301c0c000000000c

Scan History

Scan history not available

Unable to load historical scan data