Security Scan Report: esportsawards.com

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Submitted: Completed: publiccompleted
This website contacted 34 IPs in 2 countries across 18 domains to perform 151 HTTP transactions. The main domain is esportsawards.com and was registered 13 years ago.

Submitted URL: https://esportsawards.com/esports-awards-2026/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Official Esports Awards site on its own 13-year-old matching domain, with only search/translate forms and no threat-intel, hunting rule, IDS or credential-harvesting signals. Legitimate.

Safety Factors (5)
13-year-old established domain matching the displayed brand exactly
No credential, payment or disguised password fields on the page
No Indicators of Compromise, JavaScript malware, known-kit or IDS findings
Self-branding confirmed: title/meta brand matches the domain
Third-party resources limited to reputable CDNs and Google services
Domain age information unavailable

Details

Page Title

Esports Awards 2026 | Esports Awards

Scan Type

public

Domain Name Analysis

The domain 'esportsawards.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'esportsawards' covers 13 characters containing four vowels alongside 9 consonants. Segmentation suggests three words: e, sports, awards. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

WINNERS ¥ EWC PLAYERS CHOICE AWARD EVENT BROCHURE IT ST DAESLG CREATE:LE@GEN Tae ) Esports Awards 2026 Finalist Reveal | Wave 1 por resented by Thunderpick ESPORTS? AWA| FINALIST REVEAL - AUGUST...

Page Load Overview

4.26s
Total Load Time
13.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-GB
Text Length:3,038 chars
Detector Agreement:93%

All Detected Languages

🇺🇸en(84%)🇩🇪de(16%)

Website Classification

Primary Category

cryptocurrency blockchain44% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

cryptocurrency blockchain
44%
corporate
35%
entertainment media
33%
gambling betting
31%
technology software
31%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1103.174.46.111Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
9142.251.110.94Google · CDNUnited States
AS15169Google LLC
8142.251.154.4Google · CDNUnited States
AS15169Google LLC
43.174.46.53Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4142.250.154.95Google · CDNUnited States
AS15169Google LLC
4108.138.7.53Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4142.251.156.119Google · CDNUnited States
AS15169Google LLC
4142.251.127.113Google · CDNUnited States
AS15169Google LLC
4184.24.77.165Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4184.24.77.135Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
15134--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC24E83279540837122B02D6A1987714A662FB03CB075AD8B7FD42BD9FC5DF23A2729D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bnShrgh0UbjM1s7hKohHD2kVI9iYz1XfdQbz+oTbv4qhoyDffSX0IkD2VPWnoIeH:bAqhokqyADb9Ex/01/vxyxrC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:211355:gDI6oAAAZIEGHBCgU0NKLDFTgaIi4rjg2pAJBKBQpAAHCFCAqY2CZCCSDWDigQpJECQHqgPk0BBEdEoAqMoCCDggQKVGlFBi

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:00fff0b0b0949fff
Perceptual Hash:ee61913e6f2d4219
Difference Hash:b991c16525253532
Wavelet Hash:00fff0b090901fff
Color Hash:06c00000000

Scan History

Scan history not available

Unable to load historical scan data