Security Scan Report: snip.ly

Redirected to: https://paquetecorreoesp.sviluppo.host/esp/auth/?utm_source=sniply&utm_campaign=sniply&utm_medium=sniply

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Submitted: Nov 3, 2025, 6:40:10 AMCompleted: Nov 3, 2025, 6:41:01 AMpubliccompleted
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Summary

This website contacted 15 IPs in 3 countries across 5 domains to perform 37 HTTP transactions. The main domain is paquetecorreoesp.sviluppo.host and was registered NaN years ago.

Submitted URL: https://snip.ly/oficinascorreos/

Effective URL: https://paquetecorreoesp.sviluppo.host/esp/auth/?utm_source=sniply&utm_campaign=sniply&utm_medium=sniplyRedirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Localizar envíos, oficinas y códigos postales| Correos.es

Scan Type

public

Language

🇪🇸

Spanish

(51% confidence)

Category

government public service

(58%)

Domain Information

The domain name 'snip.ly' uses the Libyan country-code top-level domain (.ly) without a subdomain. Count 4 characters in 'snip' holding 1 vowel versus three consonants. Tokenizing the label suggests 1 word: snip. Median word length comes out to 4 characters. 'snip' most strongly signals Afrikaans. You will also see it in Sinhala and English contexts. Overall, 'snip.ly' reads as Afrikaans with single-word simplicity.

Screenshot

Security scan screenshot of https://snip.ly/oficinascorreos/

Page Load Overview

24.29s
Total Load Time
37
HTTP Requests
5
Domains
430 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:51%
Script Type:Latin
Text Length:792 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service58% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
58%
corporate business
47%
e-commerce shopping
44%
technology software
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9185.201.65.187Italy
AS47242Host SpA
2104.18.11.207United States
AS13335CLOUDFLARENET
2104.16.175.226United States
AS13335CLOUDFLARENET
2216.58.206.42United States
AS15169GOOGLE
2172.66.148.43United States
AS13335CLOUDFLARENET
2104.16.174.226United States
AS13335CLOUDFLARENET
22606:4700::6812:bcfUnited States
AS13335CLOUDFLARENET
22606:4700::6810:afe2United States
AS13335CLOUDFLARENET
2104.20.47.26United States
AS13335CLOUDFLARENET
22606:4700:10::6814:2f1aUnited States
AS13335CLOUDFLARENET
3715--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4126F214CF9156F1182908ABE39AA2A7EC6800BC36B670531FD165E6F86D47CD73F6C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:sGpEztfIm74lU7eVdKvOejl7KvdLJzP5TllQO7:sAEzJg6OejlMlt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9770:TKwxIYy9AAICmIgMBhJggGQgAaoADCqkdCgoHRhQCAPSsmkQEP8BxAFwIghEUgpYA6alJCSWABhYAwARu4BUACFzGYgiwMhI

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:08e7e7efe7e7e7e7
Perceptual Hash:f35f0e338c0c9927
Difference Hash:490c0c0c0c0c0c0c
Wavelet Hash:00e6e6e6c2c2c3e7
Color Hash:#bad22d

Other Hashes

Crop Resistant:490c0c0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data