Security Scan Report: seenee.site

Submitted: Aug 14, 2026, 12:29:23 PMCompleted: Aug 14, 2026, 12:30:40 PMpubliccompleted

Summary

This website contacted 8 IPs in 3 countries across 17 domains to perform 2 HTTP transactions. The main domain is seenee.site and was registered 1 month ago.

Submitted URL: https://seenee.site/products/pachet-promotional-de-3-parfumuri-good-girl-coco-mademoiselle-si-chanel-n%C2%BA5-100ml-copia

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site is a newly‑registered e‑commerce page selling branded perfumes, lacks credential collection, but shows high‑obfuscation JS and brand name misuse, warranting moderate risk.

Risk Factors
Very new domain (<7 days)
High JavaScript obfuscation and anti‑analysis techniques
Brand names used without official domain (potential brand impersonation hint)
Safety Factors
Physical address displayed on site
No password or payment fields
No Indicators of Compromise or YARA malware matches
Domain age information unavailable

Details

Page Title

Combo de 3 perfumes Prada Prada PARADOXE, COCO MADEMOISELLE, MON PARIS – Senne

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

e-commerce shopping

(65%)

Domain Information

Within the .site top-level domain, 'seenee.site' is registered and has no subdomain. Its registrable label 'seenee' stretches across 6 characters split between four vowels and two consonants. Breaking it apart gives 2 words: seen, ee. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://seenee.site/products/pachet-promotional-de-3-parfumuri-good-girl-coco-mademoiselle-si-chanel-n%C2%BA5-100ml-copia

Page Load Overview

7.13s
Total Load Time
110
HTTP Requests
17
Domains
4.8 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:7,957 chars
Detector Agreement:60%

Website Classification

Primary Category

e-commerce shopping65% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
65%
adult content
58%
e-commerce
50%
corporate
35%
finance banking
33%

Detected Features

Search
Products
OG: product
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19104.154.124.27Google · CDNUnited States
AS396982Google LLC
1316.12.19.18Aws · CLOUDParis, Île-de-France, France
AS16509Amazon.com, Inc.
13104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1323.227.39.200Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
13192.178.183.138Google · CDNUnited States
AS15169Google LLC
13172.67.70.122Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1323.227.38.32Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
13142.251.14.95Google · CDNUnited States
AS15169Google LLC
1108--

Page Statistics

110
Requests
17
Unique Domains
5.1 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131844C5020F9002A041B2235B3AAA9497A76F197DF46CD20B7EC4334DFCAFB65A7765C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WXpJrjt+ocF2RDWSuRtvqg17tRAtMym0K7s1MShCHzhXDvZaOGdl0E2Ga8MWx:wS17tRAtWmOGdlb2rWx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:380231:EmAQARQjJSCuFxkEFQMhAVECVEKAKH4mHZNookWBIIicgoXgDLBdJENiKACBR4KGkFBSMEQQNCVAICNoRlpAHAkCCAkGwiIC

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:00ffffd1818fffff
Perceptual Hash:bc47473b6e401637
Difference Hash:790286332b3f1747
Wavelet Hash:00f1f3d1818fd1f3
Color Hash:#6b862d

Scan History

Scan history not available

Unable to load historical scan data