Security Scan Report: math711.github.io

Submitted: Feb 15, 2026, 4:47:13 AMCompleted: Feb 15, 2026, 4:48:45 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is math711.github.io and was registered NaN years ago.

Submitted URL: https://math711.github.io

The Cisco Umbrella rank of the primary domain is #621,173 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Reputable hosting platform (github.io)
No credential or payment collection forms
No malicious Indicators of Compromise
Domain is a subdomain of an established domain
No external links or redirects
Domain age information unavailable

Details

Page Title

math711.github.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

Domain 'math711.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'math711'. The second-level label 'github' is 6 characters long split between 2 vowels and 4 consonants. It segments into 3 words: g, it, hub. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://math711.github.io

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:747 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
56%
adult content
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.199.109.153United States
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18B048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszI2bMy8Oldq:IhoC9JSqzzbs6o3Sj3gcrsk2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184476:E7IwZwYDQSgjgnLZlyAKsSAJyEkUBi4oLgAURTLNoAAQSAhEH8AFSjpDRXEuBpAKGhAB5JMEATNkY9aMBpJQFgThpiVBDHZC

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:ffcfc7c7ffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:f0d0c0ccf0f0f0f0
Color Hash:#4066bf

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data