Security Scan Report: snip.ly

Redirected to: https://ae820212-a14d-4051-b03c-bfddd397afe0.netlify.app/index.html?utm_source=sniply&utm_campaign=sniply&utm_medium=sniply

Submitted: Nov 2, 2025, 9:59:17 PMCompleted: Nov 2, 2025, 10:00:01 PMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 5 domains to perform 23 HTTP transactions. The main domain is ae820212-a14d-4051-b03c-bfddd397afe0.netlify.app and was registered NaN years ago.

Submitted URL: https://snip.ly/yxp9sz

Effective URL: https://ae820212-a14d-4051-b03c-bfddd397afe0.netlify.app/index.html?utm_source=sniply&utm_campaign=sniply&utm_medium=sniplyRedirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Webmail Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(38%)

Domain Information

Within the Libyan country-code top-level domain (.ly), 'snip.ly' is registered with no subdomain. The core label 'snip' covers 4 characters split between one vowel and 3 consonants. Segmentation suggests one word: snip. Expect 4 characters per word on average. 'snip' is most common in Afrikaans usage. Secondary signals appear in Sinhala and English.

Screenshot

Security scan screenshot of https://snip.ly/yxp9sz

Page Load Overview

7.21s
Total Load Time
23
HTTP Requests
5
Domains
395 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:1,309 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software38% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
38%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10142.250.186.42United States
AS15169GOOGLE
135.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1104.20.47.26United States
AS13335CLOUDFLARENET
1142.251.140.163United States
AS15169GOOGLE
163.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1142.250.186.74United States
AS15169GOOGLE
1172.66.148.43United States
AS13335CLOUDFLARENET
12a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
12a00:1450:4001:81d::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
12606:4700:10::ac42:942bUnited States
AS13335CLOUDFLARENET
2314--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB24A1B1D54C10DA7366C25FFF81B26CAAB9F32BD4164D96F01E9A0C8FD27880191F68

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Fc/Px04YXGdFTyHQLYsNmUoZA5ZQRD8bq9O9fFlNEv0U9n:W/Px0yFTcUoZaZUD82OHU9n

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:226714:OAIQRCFzgFEdiMSMAYhcAQPATkJIXTBBYokCqgAWmQDkRgKWQAmOUiIQAJhiw4EN1TSWAQDCQGAAqMASxIHjOxCBWREAmIkG

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:e7e7e7e7c3e7ffff
Perceptual Hash:b333c8cc66339999
Difference Hash:0c0c080c06080000
Wavelet Hash:3c24202003273f3f
Color Hash:#4062bf

Other Hashes

Crop Resistant:0c0c080c06080000

Scan History

Scan history not available

Unable to load historical scan data