Security Scan Report: superbet.rs

Redirected to:
https://superbet.rs/kvote/americki-fudbal/georgia-state-panthers-vs-no...
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Submitted: Sep 26, 2026, 5:51:00 PMCompleted: Sep 26, 2026, 5:56:50 PMpubliccompleted

This website contacted 70 IPs in 2 countries across 44 domains to perform 356 HTTP transactions. The main domain is superbet.rs and was registered 12 years ago.

Submitted URL: https://superbet.rs/kvote/americki-fudbal/georgia-state-panthers-vs-northern-illinois-huskies-14935611

Effective URL:

https://superbet.rs/kvote/americki-fudbal/georgia-state-panthers-vs-no...
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Official Superbet.rs sports betting page for a football match. Domain is 11 years old, self-branded, no forms, no threat intel, no malware. Legitimate regulated gambling site.

Safety Factors (5)
Established domain age over 11 years
Self-branding (Superbet matches domain)
No phishing, malware, or threat-intel matches
Regulated gambling operator with visible license information
No credential or payment forms on the scanned page
Domain age information unavailable

Details

Page Title

Georgia State Panthers - Northern Illinois Huskies Najbolje kvote | Superbet

Scan Type

public

Domain Name Analysis

Domain 'superbet.rs' uses the Serbian country-code top-level domain (.rs). The second-level label 'superbet' is 8 characters long with 3 vowels and five consonants. Tokenizing the label suggests two words: super, bet. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://superbet.rs/kvote/americki-fudbal/georgia-state-panthers-vs-northern-illinois-huskies-14935611

Page Load Overview

38.86s
Total Load Time
5.4 MB
Total Size

Language Analysis

Primary Language

🇭🇷HR
Code: hr
Confidence:33%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:sr-RS
Text Length:3,247 chars
Detector Agreement:60%
Language mismatch: Declared as sr-RS but detected as hr

Website Classification

Primary Category

gambling betting71% confidence
Type: spa
Method: ml+structural

All Detected Categories

gambling betting
71%
adult content
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
113.160.150.52Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5142.250.154.97Google · CDNUnited States
AS15169Google LLC
5146.75.122.79Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5104.18.87.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
518.245.46.17Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
534.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
534.198.76.125Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
5216.239.34.36Google · CDNUnited States
AS15169Google LLC
53.160.150.98Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
35670--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E935212B004257B1373C5C8D0B6BF9E70A6F78AD489608069ED8B7C9FEBDB0746C566

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:SQJGeWeUB3uDw76b5ZkY36RpG55gAF3rMztT:SQJi3YZkY36RpG55gAF3rMztT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90304:UFIBUACCiAgBJQiKOUBhAfYw1wSIhGBwhClAQICAiMiMgEqBYARhJFoIRGIMA1qhFBbKSIGtQyAkAmAIBREBRsqYFHIBwgos

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:06839fbf9fbfbfbf
Perceptual Hash:9f343103c7cb9393
Difference Hash:5c363c7068697969
Wavelet Hash:06069e9c85bd1d3d
Color Hash:#dce06c

Other Hashes

Crop Resistant:5c363c7068697969

Scan History

Scan history not available

Unable to load historical scan data