Security Scan Report: lolbas-project.github.io

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Submitted: Dec 4, 2025, 2:37:34 PMCompleted: Dec 4, 2025, 2:39:35 PMpubliccompleted
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Summary

This website contacted 18 IPs in 2 countries across 6 domains to perform 11 HTTP transactions. The main domain is lolbas-project.github.io.

Submitted URL: https://lolbas-project.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

The site is a legitimate GitHub Pages project with no security concerns.

Safety Factors
Official GitHub Pages hosting
Open‑source project with public documentation
Domain age information unavailable

Details

Page Title

LOLBAS

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'lolbas-project.github.io' is registered, featuring subdomain 'lolbas-project'. The core label 'github' covers 6 characters containing two vowels alongside 4 consonants. Tokenizing the label suggests three 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://lolbas-project.github.io/

Page Load Overview

5.34s
Total Load Time
11
HTTP Requests
6
Domains
563 KB
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:21,388 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11216.239.32.36United States
AS15169GOOGLE
6185.199.109.153San Francisco, California, United States
AS54113FASTLY
2172.217.208.97United States
AS15169GOOGLE
1140.82.121.5Frankfurt am Main, Hesse, Germany
AS36459GITHUB
1216.239.34.36United States
AS15169GOOGLE
1142.250.184.206United States
AS15169GOOGLE
0185.199.108.153United States
AS54113FASTLY
0140.82.121.6Frankfurt am Main, Hesse, Germany
AS36459GITHUB
0185.199.111.153United States
AS54113FASTLY
0185.199.110.153United States
AS54113FASTLY
1118--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14BF3ADB671D1B0626236CCD551913F2B34EFD62B87424D04BC9C8BB98FC9AA97803B57

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:cFimCBhv83lQFSd0AGUFitVCczVtF5AUMIB5QguZInH/NCXdEBlXXw:4gIGrUFitVCczjAUDB5du2FEdEBlXXw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165328:TGoCABKAgEgJCEUANWtLgQFw0BA9BCQQwBKGKIhYUggyCwCFFEkJIHAKhJCwSAYEImJA1NYgUFDRJNAmCAEBAMCKYApWBxqD

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:c6c3c3e7d3f3f3f3
Perceptual Hash:b43018dcc5c7c7c7
Difference Hash:969e0e0e26062606
Wavelet Hash:c2c3e3c3c3c3c3c3
Color Hash:#40bf75

Other Hashes

Crop Resistant:969e0e0e26062606

Scan History

Scan history not available

Unable to load historical scan data