An implementation of Hans Theobald Beyer's algorithm for simulated hydraulic erosion.
See the github repo.
marți, 21 aprilie 2026
luni, 20 aprilie 2026
Tools : online GLSL tool.
If you like the programming with GLSL, then you can see this online tool.
Labels:
2026,
development,
glsl,
tool,
tools
Tools : two script in powershell for audit authentication ...
I used copilot to create these powershell scripts to check this windows 10 operating system, because not work well.I think is a hacking with admnistrator access over ehernet.
Purpose : Collect Kerberos and NTLM authentication events from the Windows Security Log and export them into a JSON file for SIEM ingestion.
What it does:
Reads key authentication events (4768, 4769, 4771, 4624, 4625, 4776).
Extracts useful fields (user, IP, ticket type, failure reason, timestamp).
Converts everything into structured JSON.
Saves the JSON file so Splunk, Sentinel, ELK, Wazuh, or Graylog can ingest it.
Does not perform analysis — it only collects and exports raw data.
# ============================
# AUDIT AUTENTIFICARI KERBEROS + NTLM
# Compatibil: AD, SIEM, WEF
# ============================
$OutputFile = "C:\Logs\Kerberos_Audit_$(Get-Date -Format yyyyMMdd_HHmmss).json"
# Evenimente relevante
$EventIDs = @(4768, 4769, 4771, 4624, 4625, 4776)
# Preluare evenimente din Security Log
$Events = Get-WinEvent -FilterHashtable @{
LogName = "Security"
Id = $EventIDs
} -ErrorAction SilentlyContinue
# Parsare evenimente
$Parsed = foreach ($ev in $Events) {
$xml = [xml]$ev.ToXml()
$data = $xml.Event.EventData.Data
[PSCustomObject]@{
TimeCreated = $ev.TimeCreated
EventID = $ev.Id
Machine = $ev.MachineName
User = $data[1].'#text'
IP = $data[18].'#text'
TicketType = switch ($ev.Id) {
4768 { "TGT Request" }
4769 { "Service Ticket (TGS)" }
4771 { "Kerberos Failure" }
4776 { "NTLM Authentication" }
4624 { "Logon Success" }
4625 { "Logon Failure" }
default { "Unknown" }
}
Status = $data[2].'#text'
ServiceName = $data[3].'#text'
FailureReason = $data[5].'#text'
RawMessage = $ev.Message
}
}
# Export JSON pentru SIEM
$Parsed | ConvertTo-Json -Depth 5 | Out-File $OutputFile -Encoding UTF8
Write-Host "Audit complet. Log salvat în: $OutputFile"The advanced script : alerts + dashboards + TXT report for detect suspicious authentication behavior and generate human-readable alerts.
It analyzes the events and identifies:
Brute-force attacks
Too many failures from the same user or IP in a short time window.
NTLM fallback
Detects when authentication falls back from Kerberos to NTLM (Event 4776).
Useful for spotting misconfigurations or downgrade attacks.
Kerberos failures
Detects repeated 4771 errors (bad passwords, clock skew, SPN issues).
# ============================
# AUDIT AUTENTIFICARI KERBEROS + NTLM
# DETECTIE: BRUTEFORCE, NTLM FALLBACK, KERBEROS FAILURES
# ============================
$LogFolder = "C:\Logs"
if (!(Test-Path $LogFolder)) {
New-Item -ItemType Directory -Path $LogFolder | Out-Null
}
$Timestamp = Get-Date -Format yyyyMMdd_HHmmss
$JsonFile = "$LogFolder\Kerberos_Audit_$Timestamp.json"
$ReportFile = "$LogFolder\Kerberos_Alerts_$Timestamp.txt"
# Interval analiză (ex: ultimele 2 ore)
$HoursBack = 2
$StartTime = (Get-Date).AddHours(-$HoursBack)
# Praguri detecție
$BruteForceThreshold = 5 # minim X eșecuri
$BruteForceWindowMin = 10 # în Y minute
$EventIDs = @(4768, 4769, 4771, 4624, 4625, 4776)
$Events = Get-WinEvent -FilterHashtable @{
LogName = "Security"
Id = $EventIDs
StartTime = $StartTime
} -ErrorAction SilentlyContinue
$Parsed = foreach ($ev in $Events) {
$xml = [xml]$ev.ToXml()
$data = $xml.Event.EventData.Data
[PSCustomObject]@{
TimeCreated = $ev.TimeCreated
EventID = $ev.Id
Machine = $ev.MachineName
User = $data[1].'#text'
IP = $data[18].'#text'
TicketType = switch ($ev.Id) {
4768 { "TGT Request" }
4769 { "Service Ticket (TGS)" }
4771 { "Kerberos Failure" }
4776 { "NTLM Authentication" }
4624 { "Logon Success" }
4625 { "Logon Failure" }
default { "Unknown" }
}
Status = $data[2].'#text'
ServiceName = $data[3].'#text'
FailureReason = $data[5].'#text'
RawMessage = $ev.Message
}
}
# Export JSON brut pentru SIEM
$Parsed | ConvertTo-Json -Depth 5 | Out-File $JsonFile -Encoding UTF8
# ============================
# DETECTIE: NTLM FALLBACK
# ============================
$NtlmEvents = $Parsed | Where-Object { $_.EventID -eq 4776 }
$NtlmCount = $NtlmEvents.Count
# ============================
# DETECTIE: KERBEROS FAILURES
# ============================
$KerbFailEvents = $Parsed | Where-Object { $_.EventID -eq 4771 }
$KerbFailCount = $KerbFailEvents.Count
# ============================
# DETECTIE: BRUTE FORCE (USER / IP)
# ============================
$FailureEvents = $Parsed | Where-Object { $_.EventID -in 4625, 4771, 4776 }
$BruteForceAlerts = @()
# Grupare pe User
$FailureEvents | Group-Object User | ForEach-Object {
$user = $_.Name
if ([string]::IsNullOrWhiteSpace($user)) { return }
$events = $_.Group | Sort-Object TimeCreated
for ($i = 0; $i -lt $events.Count; $i++) {
$startTime = $events[$i].TimeCreated
$windowEnd = $startTime.AddMinutes($BruteForceWindowMin)
$windowEvents = $events | Where-Object { $_.TimeCreated -ge $startTime -and $_.TimeCreated -le $windowEnd }
if ($windowEvents.Count -ge $BruteForceThreshold) {
$BruteForceAlerts += [PSCustomObject]@{
Type = "BruteForce_User"
User = $user
Count = $windowEvents.Count
FirstEvent = $startTime
LastEvent = $windowEvents[-1].TimeCreated
}
break
}
}
}
# Grupare pe IP
$FailureEvents | Group-Object IP | ForEach-Object {
$ip = $_.Name
if ([string]::IsNullOrWhiteSpace($ip)) { return }
$events = $_.Group | Sort-Object TimeCreated
for ($i = 0; $i -lt $events.Count; $i++) {
$startTime = $events[$i].TimeCreated
$windowEnd = $startTime.AddMinutes($BruteForceWindowMin)
$windowEvents = $events | Where-Object { $_.TimeCreated -ge $startTime -and $_.TimeCreated -le $windowEnd }
if ($windowEvents.Count -ge $BruteForceThreshold) {
$BruteForceAlerts += [PSCustomObject]@{
Type = "BruteForce_IP"
IP = $ip
Count = $windowEvents.Count
FirstEvent = $startTime
LastEvent = $windowEvents[-1].TimeCreated
}
break
}
}
}
# ============================
# GENERARE RAPORT TXT
# ============================
$ReportLines = @()
$ReportLines += "=== KERBEROS / NTLM AUDIT REPORT ==="
$ReportLines += "Interval analizat: ultimele $HoursBack ore"
$ReportLines += "Generat la: $(Get-Date)"
$ReportLines += ""
$ReportLines += "Total evenimente analizate: $($Parsed.Count)"
$ReportLines += "NTLM Authentication (4776): $NtlmCount"
$ReportLines += "Kerberos Failures (4771): $KerbFailCount"
$ReportLines += ""
$ReportLines += "=== NTLM FALLBACK DETECTIE ==="
if ($NtlmCount -gt 0) {
$ReportLines += "ATENTIE: Exista $NtlmCount evenimente NTLM (posibil fallback de la Kerberos)."
} else {
$ReportLines += "Nu au fost detectate evenimente NTLM (4776) in interval."
}
$ReportLines += ""
$ReportLines += "=== KERBEROS FAILURES DETECTIE ==="
if ($KerbFailCount -gt 0) {
$ReportLines += "ATENTIE: Exista $KerbFailCount esecuri Kerberos (4771)."
} else {
$ReportLines += "Nu au fost detectate esecuri Kerberos (4771) in interval."
}
$ReportLines += ""
$ReportLines += "=== BRUTE FORCE DETECTIE ==="
if ($BruteForceAlerts.Count -gt 0) {
foreach ($alert in $BruteForceAlerts) {
if ($alert.Type -eq "BruteForce_User") {
$ReportLines += "Brute force pe USER: $($alert.User) | Count: $($alert.Count) | Interval: $($alert.FirstEvent) - $($alert.LastEvent)"
} elseif ($alert.Type -eq "BruteForce_IP") {
$ReportLines += "Brute force pe IP: $($alert.IP) | Count: $($alert.Count) | Interval: $($alert.FirstEvent) - $($alert.LastEvent)"
}
}
} else {
$ReportLines += "Nu au fost detectate pattern-uri brute force (user/IP) peste pragul $BruteForceThreshold in $BruteForceWindowMin minute."
}
$ReportLines += ""
$ReportLines += "=== SUGESTII DASHBOARD (Splunk / Sentinel / Kibana) ==="
$ReportLines += "Splunk - Kerberos Failures:"
$ReportLines += " index=kerberos EventID=4771 | stats count by User, IP, FailureReason"
$ReportLines += ""
$ReportLines += "Splunk - NTLM Fallback:"
$ReportLines += " index=kerberos EventID=4776 | stats count by User, IP, Machine"
$ReportLines += ""
$ReportLines += "Splunk - Brute Force (User):"
$ReportLines += " index=kerberos EventID=4625 OR EventID=4771 OR EventID=4776"
$ReportLines += " | bin _time span=10m"
$ReportLines += " | stats count by User, _time"
$ReportLines += " | where count >= $BruteForceThreshold"
$ReportLines += ""
$ReportLines += "Kibana / Elastic:"
$ReportLines += " Filtre pe campurile: EventID, User, IP, FailureReason, Machine"
$ReportLines += ""
$ReportLines += "Sentinel:"
$ReportLines += " SecurityEvent"
$ReportLines += " | where EventID in (4768, 4769, 4771, 4624, 4625, 4776)"
$ReportLines += " | summarize count() by Account, IPAddress, EventID, bin(TimeGenerated, 10m)"
$ReportLines += ""
$ReportLines | Out-File $ReportFile -Encoding UTF8
# ============================
# AFISARE IN CONSOLA
# ============================
Write-Host "=== REZUMAT AUDIT ==="
Write-Host "JSON log: $JsonFile"
Write-Host "Raport TXT: $ReportFile"
Write-Host "Evenimente: $($Parsed.Count)"
Write-Host "NTLM (4776): $NtlmCount"
Write-Host "KerbFail: $KerbFailCount"
Write-Host ""
if ($BruteForceAlerts.Count -gt 0) {
Write-Host "Brute force detectat:"
$BruteForceAlerts | Format-Table -AutoSize
} else {
Write-Host "Nu au fost detectate pattern-uri brute force peste prag."
}
if ($NtlmCount -gt 0) {
Write-Host ""
Write-Host "ATENTIE: Exista evenimente NTLM (4776) - posibil fallback de la Kerberos."
}
if ($KerbFailCount -gt 0) {
Write-Host ""
Write-Host "ATENTIE: Exista esecuri Kerberos (4771) - verifica SPN, parole, clock skew."
}
Tools : SHADERed - C++ features.
If you like shaders and C++ then you can use the SHADERed to export as C++ projects. See the official website.
News : New feature for email and phone masks ...
Our secure, easy-to-use email and phone masks help keep your identity private so you can sign up for new accounts anonymously, stop spam texts and junk calls, and get only the emails you want in your inbox.
See this feature on the official website.
News : new features on Visual Studio Code 1.116.
New features on Visual Studio Code:
Welcome to the 1.116 release of Visual Studio Code. This release continues to make working with chat and agents more powerful and efficient.
Here are some highlights of what's new:
Agent Debug Logs: view logs from previous agent sessions to understand and debug agent interactions.
Copilot CLI thinking effort: configure model thinking effort in Copilot CLI to balance response quality and latency.
Terminal agent tools: interact with any terminal session from your agent sessions.
GitHub Copilot built-in: start using AI without having to install the GitHub Copilot Chat extension.
Happy Coding!
Labels:
2026,
2026 news,
development,
news,
tools
vineri, 17 aprilie 2026
Google Apps Script : ... youtube script for dashboard.
Today, I tested Google Apps Script to get data from youtube dashboard, because I make some streams on youtube and another social platforms.
The source code is large, but I will show this part to understand the basics:
function getChannelStats() {
const response = YouTube.Channels.list(
"snippet,statistics",
{ mine: true }
);
const ch = response.items[0];
return {
title: ch.snippet.title,
subs: Number(ch.statistics.subscriberCount),
views: Number(ch.statistics.viewCount),
videos: Number(ch.statistics.videoCount)
};
} ...
Labels:
2026,
demo,
google,
Google Apps Script,
open source,
source code,
tutorial,
tutorials
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