Security Scan Report: sicbosuper.xyz

Redirected to:
https://sicbosuper.xyz/
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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 3 domains to perform 27 HTTP transactions. The main domain is sicbosuper.xyz and was registered 1 month ago.

Submitted URL: http://sicbosuper.xyz/

Effective URL:
https://sicbosuper.xyz/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

15-day-old unranked .xyz page with garbled token-staking game text. No forms, no IoC, no malware, no impersonation. Age and content quality alone warrant caution, not a scam rating.

Risk Factors (4)
Very new domain (15 days) with no established reputation
Unranked domain not present in Cisco Umbrella top 1M
Content promotes token staking, prizes and 'redeem winnings' without any operator, licensing or contact detail beyond a generic form-less 'Contact Us'
Repetitive, machine-generated-looking text with mixed unrelated game titles suggests low-quality SEO or throwaway landing page
Safety Factors (5)
No credential, login or payment form of any kind (0 forms, 0 password fields, 0 payment fields)
No Indicators of Compromise matched against the page or its resources
No JavaScript malware/hunting-rule patterns and no known malicious kit detected
No credential exfiltration and no cross-origin JS network targets observed
Served over HTTPS; only third-party scripts are jsdelivr and Google Fonts CDN
Domain age information unavailable

Details

Page Title

" Game Transport Tycoon Empire: City

Scan Type

public

Domain Name Analysis

Within the open generic top-level domain (.xyz), 'sicbosuper.xyz' is registered while skipping any subdomain. The registrable portion 'sicbosuper' spans 10 characters with four vowels and six consonants. Segmentation suggests 3 words: sic, bo, super. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

DOWNLOAD, GAME ALMORA DARKOSEN RPG Daily login bonuses boost starting tokens for each victory and advance through ranks. Match replay functionality lets players stake tokens for each victory and adv...

Page Load Overview

1.06s
Total Load Time
481 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,209 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media63% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
63%
gambling betting
42%
technology software
33%
cryptocurrency blockchain
30%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.67.162.36Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6142.251.14.94Google · CDNUnited States
AS15169Google LLC
6104.21.10.25Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
274--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14CD1E36A8BE1C2C7404391A078A51EFBAE80C537BA7AE950B1BC0FD55F46D57CD27828

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TSSXjyOYSch3NjmjMjIMFOQZpDX4+VGTzVEB:mSX6Sm3Njmud1QVEB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6229:GFIJhlkUQwFAAEAQq4CQS0YBc4BgICAwB5OEYaBBAChZUgoICAAEBYYOAQWMkAAGMCAAMgBAEiClUmy2KIQSigCgKEYCLYeE

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:6800000800ffffff
Perceptual Hash:9911c3f25ace662e
Difference Hash:d89a1771170f0dc1
Wavelet Hash:7c08010800ffffff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data