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Defending Against Pro-Russian Hacktivism: Detecting CARR and Z-Pentest Operations

SA
Security Arsenal Team
July 7, 2026
6 min read

The recent arrest by Spain's National Police of an active member of the CyberArmy of Russia Reborn (CARR) and Z-Pentest serves as a stark reminder that pro-Russian hacktivism remains a persistent and disruptive threat in 2026. While this specific individual is in custody, the decentralized nature of these groups means their operations continue unabated.

For defenders, the arrest is not just a headline—it is an indicator of compromise (IoC) preview. Groups like CARR are not just skids; they are increasingly leveraging automated attack frameworks like DDoSia to crowdsourced flood attacks, while sub-groups like Z-Pentest focus on web application exploitation and defacement. If your organization operates in NATO countries, supports critical infrastructure, or holds public visibility, you are a target. We need to shift from reactive cleanup to proactive hunting for the infrastructure and tools these groups deploy.

Technical Analysis

Threat Actors:

  • CyberArmy of Russia Reborn (CARR): Primary propagators of the "DDoSia" attack platform. This group crowdsources bandwidth by recruiting "volunteers" who download a client, turning their machines into nodes in a botnet-like structure used to launch Layer 7 (HTTP/S) floods against targets of geopolitical interest.
  • Z-Pentest: A subgroup often focusing on more technically intrusive web attacks, including SQL injection and web shell deployments, facilitating defacement and data theft.

Attack Mechanics:

  • DDoSia (CARR): The tool typically consists of a Python-based agent or a compiled executable that establishes a connection to a command-and-control (C2) server to receive target lists (URLs). It then initiates high-volume HTTP GET/POST requests, often utilizing randomized User-Agents and spoofed headers to bypass basic WAF filters. In recent 2026 campaigns, we have observed variants utilizing the requests library in Python with multi-threading to maximize socket exhaustion on the target end.
  • Web Defacement (Z-Pentest): These actors exploit vulnerable content management systems (CMS) or unpatched web servers to upload web shells. The objective is often reputational damage, replacing index files with propaganda.

Exploitation Status: Active. The DDoSia toolset is currently being versioned and distributed via Telegram channels and forums popular within the hacktivist community.

Detection & Response

To defend against these actors, we must detect the installation and execution of their tooling on internal endpoints (identifying compromised "volunteers" or insiders) and correlate high-volume traffic anomalies at the perimeter.

Sigma Rules

YAML
---
title: Potential CARR DDoSia Agent Execution
id: 2026-carr-ddosia-exec-001
status: experimental
description: Detects the execution of the DDoSia tool, commonly associated with the CyberArmy of Russia Reborn (CARR). Matches process execution of python scripts or binaries with naming conventions observed in 2026 campaigns.
references:
  - https://bleepingcomputer.com/news/security/spain-arrests-suspected-member-of-pro-russian-hacktivist-groups/
author: Security Arsenal
date: 2026/04/06
tags:
  - attack.impact
  - attack.t1498
defense_evasion:
  - attack.t1027
logsource:
  category: process_creation
  product: windows
detection:
  selection_img:
    Image|endswith:
      - '\ddosia.exe'
      - '\ddosia.bat'
  selection_cli:
    CommandLine|contains:
      - 'ddosia'
      - 'python.*ddosia'
  selection_network:
    CommandLine|contains:
      - 'requests.get'
      - 'urllib.request'
    CommandLine|contains|all:
      - '--target'
      - '--threads'
  condition: 1 of selection_*
falsepositives:
  - Legitimate network stress testing by authorized staff
level: high
---
title: Suspicious Web Shell Upload (Z-Pentest Style)
id: 2026-zpentest-webshell-002
status: experimental
description: Detects the creation of files indicative of web shell activity often associated with Z-Pentest defacement operations. Focuses on common ASP/PHP web shell names and rapid creation in web roots.
references:
  - https://bleepingcomputer.com/news/security/spain-arrests-suspected-member-of-pro-russian-hacktivist-groups/
author: Security Arsenal
date: 2026/04/06
tags:
  - attack.initial_access
  - attack.t1190
  - attack.persistence
  - attack.t1505.003
logsource:
  category: file_create
  product: windows
detection:
  selection:
    TargetFilename|contains:
      - '\inetpub\wwwroot\'
      - '\www\html\'
    TargetFilename|endswith:
      - '.asp.aspx'
      - '.php'
    TargetFilename|contains:
      - 'shell'
      - 'cmd'
      - 'uploader'
      - 'wso'
  condition: selection
falsepositives:
  - Legitimate CMS administration scripts
level: critical

KQL (Microsoft Sentinel / Defender)

Hunts for high-frequency outbound connections indicative of a DDoS agent (like DDoSia) running on an endpoint, as well as web server anomaly detection.

KQL — Microsoft Sentinel / Defender
// Hunt for DDoSia Agent Behavior: High volume outbound HTTP from a single process
DeviceNetworkEvents
| where ActionType == "ConnectionSuccess"
| where RemotePort in (80, 443, 8080)
| summarize TotalConnections = count(), DistinctRemoteIPs = dcount(RemoteIP), ProcessList = make_set(InitiatingProcessFileName) by DeviceName, InitiatingProcessAccountName, bin(Timestamp, 1m)
| where TotalConnections > 1000 // Threshold tuning required based on baseline
| project DeviceName, InitiatingProcessAccountName, TotalConnections, ProcessList, Timestamp
| order by TotalConnections desc
| extend AlertMessage = "High volume outbound HTTP traffic detected, potential DDoS agent activity."

Velociraptor VQL

Endpoint artifact hunt to locate common directories and files associated with the DDoSia toolkit installation.

VQL — Velociraptor
-- Hunt for DDoSia artifacts and configuration files
SELECT FullPath, Size, Mtime, Mode
FROM glob(globs='/*')
WHERE FullPath =~ 'ddosia'
   OR FullPath =~ 'config.'
   AND FullPath =~ '(AppData|Temp|Downloads)'

-- Hunt for suspicious Python processes making network calls
SELECT Pid, Name, Exe, CommandLine, Username
FROM pslist()
WHERE Name =~ 'python.exe'
  AND CommandLine =~ '(requests|socket|urllib)'
  AND CommandLine =~ '(http|https)'

Remediation Script (PowerShell)

Use this script to identify and terminate processes matching the DDosia behavioral profile on Windows endpoints.

PowerShell
# Remediation Script: Detect and Terminate Hacktivist DDoS Agents
Write-Host "Starting scan for CARR/Z-Pentest associated processes..." -ForegroundColor Cyan

# Define suspicious process names often used by DDoSia and similar tools
$suspiciousProcesses = @("ddosia", "stress", "goldeneye", "hping3")

$foundProcesses = Get-Process | Where-Object { 
    $suspiciousProcesses -like $_.ProcessName 
} | Select-Object -Unique ProcessName, Id

if ($foundProcesses) {
    foreach ($proc in $foundProcesses) {
        Write-Host "[!] Suspicious process found: $($proc.ProcessName) (PID: $($proc.Id))" -ForegroundColor Red
        try {
            Stop-Process -Id $proc.Id -Force -ErrorAction Stop
            Write-Host "[+] Process terminated successfully." -ForegroundColor Green
        } catch {
            Write-Host "[-] Failed to terminate process: $_" -ForegroundColor Yellow
        }
    }
} else {
    Write-Host "[+] No suspicious processes currently running." -ForegroundColor Green
}

# Check for common DDoSia directories
$pathsToCheck = @("$env:APPDATA\ddosia", "$env:TEMP\ddosia", "C:\ddosia")
foreach ($path in $pathsToCheck) {
    if (Test-Path $path) {
        Write-Host "[!] Artifact directory found at: $path" -ForegroundColor Red
        # Note: Deletion should be verified by IR analyst before running in prod
    }
}
Write-Host "Remediation scan complete."

Remediation

  1. Network Hardening: Implement aggressive rate limiting and geo-blocking at the edge (WAF/ADC) for regions associated with these threat actors if business logic permits. prioritize dropping traffic with anomalous User-Agent strings or headers typical of the DDoSia toolkit (e.g., empty or randomized strings).
  2. Patch Management: Ensure all public-facing web servers are patched against known web application vulnerabilities. Z-Pentest relies on exploiting unpatched CMS flaws for defacement.
  3. User Awareness: Train staff to recognize the recruitment tactics used by these groups. The "volunteer" aspect of CARR relies on social engineering to convince users to download and run the DDoSia client.
  4. Endpoint Detection: Deploy the provided Sigma rules to your SIEM immediately. The arrest in Spain confirms active nodes in Europe; your endpoints could be participating in attacks against others without your knowledge.

Related Resources

Security Arsenal Red Team Services AlertMonitor Platform Book a SOC Assessment pen-testing Intel Hub

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