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Security Scan Report: fake-stuff.com

Redirected to:
https://fake-stuff.com/
Submitted: Apr 28, 2026, 9:33:58 PMCompleted: Apr 28, 2026, 9:35:08 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is fake-stuff.com and was registered NaN years ago.

Submitted URL: http://fake-stuff.com/

Effective URL: https://fake-stuff.com/Redirected

AI Security Verdict

Moderate Risk

Confidence: 55%

5
Risk Score

New unranked site with no malicious activity; moderate risk due to age and lack of reputation.

Risk Factors
Very new domain (<7 days)
Unranked domain reputation
Adult content classification confidence (29%)
Safety Factors
No login or payment forms
No malicious Indicators of Compromise
No JavaScript malware YARA matches
Self‑branding only, not impersonating a known brand
Domain age information unavailable

Details

Page Title

Fake Stuff List

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(29%)

Domain Information

Domain 'fake-stuff.com' uses the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'fake-stuff' spans 10 characters split between 3 vowels and six consonants, notching one hyphen. Breaking it apart gives 2 words: fake, stuff. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://fake-stuff.com/

Page Load Overview

0.71s
Total Load Time
9
HTTP Requests
4
Domains
1.6 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
Text Length:279 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content29% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3185.199.108.153United States
AS54113Fastly, Inc.
23.69.130.160Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2104.26.4.250United States
AS13335Cloudflare, Inc.
2185.15.59.240United States
AS14907Wikimedia Foundation Inc.
94--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126029252A2A700525903D1983FE6534561A0D503E64AE83D3F9D52A88FCBAEDC9F33DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:VKerjDdjvV2ZODRk2D9NsGBa0UbznFbzjb5PabzJ9mzjzBtttNAP7/fJ48:VTHDAODRk2Dg0UbzFbzjb9abzJ9mAB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8580:AGnenIzAkAviApKggAxgMCA2IqEfCrAEmOpAgiIeREBCwclAISZEAJKgiMaCcGoVCaAiBATAKQDSuGgAkCGlwIQkUYEIgEBA

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:ffffc3c3ffffffff
Perceptual Hash:b435c3db8c2c65c3
Difference Hash:0e0896b620323444
Wavelet Hash:e4e4c2c2d2d6de00
Color Hash:#81862d

Other Hashes

Crop Resistant:0e0896b620323444,272f1e3337119998,32b8f0c20d593858,ce1f1b2f2d67677d,b42460a4b9e86838

Scan History

Scan history not available

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