Security Scan Report: 1xbet.sl

Redirected to:
https://1xbet.sl/en/block
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Submitted: Sep 5, 2026, 10:31:52 PMCompleted: Sep 5, 2026, 10:33:22 PMpubliccompleted

This website contacted 2 IPs in 2 countries across 5 domains to perform 38 HTTP transactions. The main domain is 1xbet.sl and was registered 14 years ago.

Submitted URL: https://1xbet.sl/en/line/american-football/93369-ncaa/336496644-memphis-tigers-arkansas-state-red-wolves

Effective URL:

https://1xbet.sl/en/block
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AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The page shows no malicious indicators, contains no forms, and matches its own brand; it is classified as legitimate.

Safety Factors
Self‑branding aligns with domain
Absence of forms or credential collection
No malicious network or script activity
Domain age information unavailable

Details

Page Title

1xBet

Scan Type

public

Domain Name Analysis

The domain name '1xbet.sl' uses the .sl country-code top-level domain with no subdomain. The second-level label '1xbet' is 5 characters long holding one vowel versus three consonants, notching one digit. Tokenizing the label suggests three words: 1, x, bet. Median word length is 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://1xbet.sl/en/line/american-football/93369-ncaa/336496644-memphis-tigers-arkansas-state-red-wolves

Page Load Overview

1.16s
Total Load Time
875 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:256 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical29% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1992.223.124.62Frankfurt am Main, Hesse, Germany
AS199524G-Core Labs S.A.
1945.135.120.52Amsterdam, North Holland, Netherlands
AS56630Melbikomas UAB
382--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F951C82B6F18CF3F012014489662E65AE9CD35BA7106D05884B84C192F8E3C36C9BCE6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:4KuZKHu8BxPVLWbaiOaO/t9zBZ3GWqt3nkS2uTXPFDb6AizmwWhEaPfp+CW:4LuJbVqbg/zzBR3qjdGAffp/W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2825:CAkKEgAAEAAIQACAAIIAAIAFTCAAEBAACAAUAYFEBYQBAABgABAQAAAAAEABkIAQBECACSCABAAAFAQJACBAEAAAAAFEAQAA

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:73f0f1b098f8fcfc
Perceptual Hash:eda492532dc1931f
Difference Hash:a7248222724ba030
Wavelet Hash:71f0f0b090f8fc9c
Color Hash:#62862d

Other Hashes

Crop Resistant:a7248222724ba030

Scan History

Scan history not available

Unable to load historical scan data