Volatilität Cheat Sheet¶

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Überblick¶

Volatility ist ein fortschrittliches Memory-Forensics-Framework in Python, das eine umfassende Plattform für die Extraktion digitaler Artefakte aus flüchtigen Speicher (RAM)-Proben bietet. Entwickelt von der Volatility Foundation, ermöglicht dieses leistungsstarke Tool digitale Forensik-Ermittler, Vorfall-Ansprecher und Malware-Analysten, um Speicher-Dumps von Windows, Linux, MacOS und Android-Systeme zu analysieren. Volatility kann eine breite Palette von Informationen einschließlich Laufprozesse, Netzwerk-Verbindungen, geladene Module, Registrierungsdaten, Cache-Dateien, Verschlüsselungsschlüssel und Beweise für Malware-Aktivität. Seine Plug-in-basierte Architektur macht es sehr erweiterbar, so dass Forscher kundenspezifische Analysemodule für spezifische Untersuchungsanforderungen entwickeln können.

ZEIT Legal Hinweis: Volatilität sollte nur für eine legitime forensische Analyse, Vorfallreaktion und eine autorisierte Sicherheitsforschung verwendet werden. Stellen Sie sicher, dass Sie eine ordnungsgemäße rechtliche Autorität haben, bevor Sie Speicher-Dumps analysieren und die Datenverarbeitung und Datenschutzrichtlinien Ihrer Organisation verfolgen.

Installation¶

Volatilität 3 Installation (empfohlen)¶

```bash

Install via pip (Python 3.6+)¶

pip3 install volatility3

Install from GitHub (latest development version)¶

git clone https://github.com/volatilityfoundation/volatility3.git cd volatility3 pip3 install -r requirements.txt python3 setup.py install

Verify installation¶

vol -h

Install additional dependencies¶

pip3 install yara-python pycryptodome capstone distorm3 ```_

Volatilität 2 Installation (Legacy)¶

```bash

Install Volatility 2 (Python 2.7)¶

git clone https://github.com/volatilityfoundation/volatility.git cd volatility python2 setup.py install

Install dependencies¶

pip2 install distorm3 yara-python pycrypto openpyxl ujson

Verify installation¶

python2 vol.py -h

Create alias for easier usage¶

echo 'alias vol2="python2 /path/to/volatility/vol.py"' >> ~/.bashrc ```_

Docker Installation¶

```bash

Pull Volatility Docker image¶

docker pull phocean/volatility

Run Volatility in Docker¶

docker run --rm -v $(pwd):/dumps phocean/volatility -f /dumps/memory.dmp imageinfo

Create alias for Docker usage¶

echo 'alias vol="docker run --rm -v $(pwd):/dumps phocean/volatility"' >> ~/.bashrc source ~/.bashrc

Run with specific memory dump¶

vol -f memory.dmp --profile=Win7SP1x64 pslist ```_

Ubuntu/Debian Installation¶

```bash

Install from package repository¶

sudo apt update sudo apt install volatility3-tools

Install additional tools¶

sudo apt install python3-pip python3-dev build-essential pip3 install volatility3

Install legacy Volatility 2¶

sudo apt install volatility-tools

Verify installations¶

vol -h volatility -h ```_

Windows Installation¶

```bash

Download standalone executable from GitHub releases¶

https://github.com/volatilityfoundation/volatility3/releases ¶

Or install via Python¶

pip install volatility3

Install Python dependencies¶

pip install yara-python pycryptodome capstone distorm3

Verify installation¶

vol.exe -h ```_

Basisnutzung¶

Speicherort Analyse Workflow¶

```bash

Step 1: Identify the operating system and version¶

vol -f memory.dmp windows.info

Step 2: List running processes¶

vol -f memory.dmp windows.pslist

Step 3: Analyze network connections¶

vol -f memory.dmp windows.netstat

Step 4: Examine loaded modules¶

vol -f memory.dmp windows.modules

Step 5: Check for malicious processes¶

vol -f memory.dmp windows.malfind

Step 6: Extract suspicious files¶

vol -f memory.dmp windows.dumpfiles --pid 1234 ```_

Volatilität 2 Legacy Commands¶

```bash

Identify image information (Volatility 2)¶

vol2 -f memory.dmp imageinfo

Use specific profile¶

vol2 -f memory.dmp --profile=Win7SP1x64 pslist

List available plugins¶

vol2 --info

Get plugin help¶

vol2 pslist -h ```_

Grundlegende Systeminformationen¶

```bash

Get system information (Vol 3)¶

vol -f memory.dmp windows.info

Get system information (Vol 2)¶

vol2 -f memory.dmp --profile=Win7SP1x64 imageinfo

Check system uptime¶

vol -f memory.dmp windows.info|grep "System time"

Get kernel information¶

vol -f memory.dmp windows.info|grep "Kernel"

Check for hibernation file¶

vol -f memory.dmp windows.info|grep "hibernation" ```_

Prozessanalyse¶

Prozessliste und Analyse¶

```bash

List all processes (Vol 3)¶

vol -f memory.dmp windows.pslist

List processes with parent-child relationships¶

vol -f memory.dmp windows.pstree

Show process command lines¶

vol -f memory.dmp windows.cmdline

List processes with detailed information¶

vol -f memory.dmp windows.pslist --pid 1234

Find hidden processes¶

vol -f memory.dmp windows.psxview

Scan for process objects¶

vol -f memory.dmp windows.psscan ```_

Prozessspeicheranalyse¶

```bash

Dump process memory¶

vol -f memory.dmp windows.memmap --pid 1234 --dump

Extract process executable¶

vol -f memory.dmp windows.procdump --pid 1234

Analyze process handles¶

vol -f memory.dmp windows.handles --pid 1234

Check process privileges¶

vol -f memory.dmp windows.privileges --pid 1234

Examine process environment variables¶

vol -f memory.dmp windows.envars --pid 1234

Analyze process VAD (Virtual Address Descriptor)¶

vol -f memory.dmp windows.vadinfo --pid 1234 ```_

Malware-Detektion¶

```bash

Detect code injection¶

vol -f memory.dmp windows.malfind

Scan for YARA rules¶

vol -f memory.dmp yarascan --yara-rules malware_rules.yar

Check for API hooks¶

vol -f memory.dmp windows.apihooks

Detect rootkits¶

vol -f memory.dmp windows.ssdt

Find suspicious processes¶

vol -f memory.dmp windows.psxview|grep False

Check for process hollowing¶

vol -f memory.dmp windows.hollowfind ```_

Netzwerkanalyse¶

Netzwerkverbindungen¶

```bash

List network connections (Vol 3)¶

vol -f memory.dmp windows.netstat

List network connections (Vol 2)¶

vol2 -f memory.dmp --profile=Win7SP1x64 netscan

Show listening sockets¶

vol -f memory.dmp windows.netstat|grep LISTEN

Find connections by process¶

vol -f memory.dmp windows.netstat --pid 1234

Analyze network artifacts¶

vol -f memory.dmp windows.netscan

Extract network configuration¶

vol -f memory.dmp windows.netstat -v ```_

DNS und Netzwerk-Artefakte¶

```bash

Extract DNS cache (Vol 2)¶

vol2 -f memory.dmp --profile=Win7SP1x64 dnscache

Analyze browser artifacts¶

vol -f memory.dmp windows.iehistory

Extract network configuration¶

vol -f memory.dmp windows.netstat --verbose ```_

Dateisystemanalyse¶

Datei- und Verzeichnisanalyse¶

```bash

List files (Vol 3)¶

vol -f memory.dmp windows.filescan

List files (Vol 2)¶

vol2 -f memory.dmp --profile=Win7SP1x64 filescan

Dump specific files¶

vol -f memory.dmp windows.dumpfiles --virtaddr 0x12345678

Find files by name¶

vol -f memory.dmp windows.filescan|grep "malware.exe"

Extract MFT records¶

vol -f memory.dmp windows.mftscan

Analyze file handles¶

vol -f memory.dmp windows.handles --object-type File ```_

Systemanalyse¶

```bash

List registry hives¶

vol -f memory.dmp windows.registry.hivelist

Print registry keys¶

vol -f memory.dmp windows.registry.printkey --key "Software\Microsoft\Windows\CurrentVersion\Run"

Dump registry hive¶

vol -f memory.dmp windows.registry.hivescan --dump

Extract user assist data¶

vol -f memory.dmp windows.registry.userassist

Analyze registry artifacts¶

vol -f memory.dmp windows.registry.printkey --key "SYSTEM\CurrentControlSet\Services"

Find registry keys by pattern¶

vol -f memory.dmp windows.registry.printkey --key "Software" --recurse|grep -i malware ```_

Erweiterte Analyse¶

Speicher Strings Analyse¶

```bash

Extract ASCII strings¶

vol -f memory.dmp windows.strings

Extract Unicode strings¶

vol -f memory.dmp windows.strings --strings-file strings.txt

Search for specific patterns¶

vol -f memory.dmp windows.strings|grep -i "password"

Extract strings from specific process¶

vol -f memory.dmp windows.strings --pid 1234

Find URLs and domains¶

Search for email addresses¶

vol -f memory.dmp windows.strings|grep -E "[a-zA-Z0-9.%+-]+@[a-zA-Z0-9.-]+.[a-zA-Z]\\{2,\\}" ```

Kryptographische Analyse¶

```bash

Find encryption keys¶

vol -f memory.dmp windows.truecryptpassphrase

Extract cached credentials¶

vol -f memory.dmp windows.cachedump

Find LSA secrets¶

vol -f memory.dmp windows.lsadump

Extract password hashes¶

vol -f memory.dmp windows.hashdump

Find BitLocker keys¶

vol -f memory.dmp windows.bitlocker

Analyze cryptographic artifacts¶

vol -f memory.dmp yarascan --yara-rules crypto_rules.yar ```_

Zeitanalyse¶

```bash

Create timeline (Vol 2)¶

vol2 -f memory.dmp --profile=Win7SP1x64 timeliner --output=body --output-file=timeline.body

Convert to CSV format¶

vol2 -f memory.dmp --profile=Win7SP1x64 timeliner --output=csv --output-file=timeline.csv

Analyze specific time range¶

vol2 -f memory.dmp --profile=Win7SP1x64 timeliner --output=body|grep "2023-12-01"

Create Mactime timeline¶

mactime -b timeline.body -d > timeline.txt

Filter timeline by activity type¶

grep "m.c" timeline.body > modified_files.txt ```_

Automatisierungsskripte¶

Umfassende Speicheranalyse¶

```bash

!/bin/bash¶

Comprehensive memory analysis using Volatility¶

MEMORY_DUMP="$1" OUTPUT_DIR="volatility_analysis_$(date +%Y%m%d_%H%M%S)" VOLATILITY_CMD="vol"

if [ -z "$MEMORY_DUMP" ]; then echo "Usage: $0 " echo "Example: $0 memory.dmp" exit 1 fi

if [ ! -f "$MEMORY_DUMP" ]; then echo "Error: Memory dump file not found: $MEMORY_DUMP" exit 1 fi

mkdir -p "$OUTPUT_DIR"

Function to run Volatility command with error handling¶

run_vol_cmd() \\{ local plugin="$1" local output_file="$2" local additional_args="$3"

echo "[+] Running $plugin analysis..."

if [ -n "$additional_args" ]; then
    $VOLATILITY_CMD -f "$MEMORY_DUMP" $plugin $additional_args > "$OUTPUT_DIR/$output_file" 2>&1
else
    $VOLATILITY_CMD -f "$MEMORY_DUMP" $plugin > "$OUTPUT_DIR/$output_file" 2>&1
fi

if [ $? -eq 0 ]; then
    echo "  [+] $plugin analysis completed: $output_file"
    return 0
else
    echo "  [-] $plugin analysis failed"
    return 1
fi

\\}

Function to analyze system information¶

analyze_system_info() \\{ echo "[+] Analyzing system information"

run_vol_cmd "windows.info" "system_info.txt"

# Extract key system information
if [ -f "$OUTPUT_DIR/system_info.txt" ]; then

| | grep -E "(Kernel | System time | NTBuildLab)" "$OUTPUT_DIR/system_info.txt" > "$OUTPUT_DIR/system_summary.txt" | | fi \\}

Function to analyze processes¶

analyze_processes() \\{ echo "[+] Analyzing processes"

run_vol_cmd "windows.pslist" "process_list.txt"
run_vol_cmd "windows.pstree" "process_tree.txt"
run_vol_cmd "windows.cmdline" "command_lines.txt"
run_vol_cmd "windows.psxview" "hidden_processes.txt"
run_vol_cmd "windows.malfind" "malicious_code.txt"

# Extract suspicious processes
if [ -f "$OUTPUT_DIR/process_list.txt" ]; then
    # Find processes with suspicious names

    # Find processes with no parent
    awk '$3 == 0 && NR > 1 \\\\{print\\\\}' "$OUTPUT_DIR/process_list.txt" > "$OUTPUT_DIR/orphan_processes.txt"
fi

\\}

Function to analyze network activity¶

analyze_network() \\{ echo "[+] Analyzing network activity"

run_vol_cmd "windows.netstat" "network_connections.txt"

# Extract external connections
if [ -f "$OUTPUT_DIR/network_connections.txt" ]; then

    # Extract unique remote IPs

| | awk '\\{print $3\\\\}' "$OUTPUT_DIR/external_connections.txt" | cut -d: -f1 | sort -u > "$OUTPUT_DIR/remote_ips.txt" | | fi \\}

Function to analyze files¶

analyze_files() \\{ echo "[+] Analyzing files"

run_vol_cmd "windows.filescan" "file_list.txt"

# Find executable files
if [ -f "$OUTPUT_DIR/file_list.txt" ]; then

| | grep -iE ".(exe | dll | sys | bat | cmd | ps1 | vbs | js)$" "$OUTPUT_DIR/file_list.txt" > "$OUTPUT_DIR/executable_files.txt" | |

    # Find files in temp directories

| | grep -iE "(temp | tmp | appdata)" "$OUTPUT_DIR/file_list.txt" > "$OUTPUT_DIR/temp_files.txt" | | fi \\}

Function to analyze registry¶

analyze_registry() \\{ echo "[+] Analyzing registry"

run_vol_cmd "windows.registry.hivelist" "registry_hives.txt"

# Analyze common autostart locations
local autostart_keys=(
    "Software\\Microsoft\\Windows\\CurrentVersion\\Run"
    "Software\\Microsoft\\Windows\\CurrentVersion\\RunOnce"
    "Software\\Microsoft\\Windows\\CurrentVersion\\RunServices"
    "Software\\Microsoft\\Windows\\CurrentVersion\\RunServicesOnce"
)

for key in "$\\\\{autostart_keys[@]\\\\}"; do
    local safe_key=$(echo "$key"|tr '\\' '_')
    run_vol_cmd "windows.registry.printkey" "registry_$\\\\{safe_key\\\\}.txt" "--key \"$key\""
done

\\}

Function to extract strings¶

extract_strings() \\{ echo "[+] Extracting strings"

run_vol_cmd "windows.strings" "all_strings.txt"

if [ -f "$OUTPUT_DIR/all_strings.txt" ]; then
    # Extract URLs

    # Extract email addresses
    grep -oE "[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]\\\\{2,\\\\}" "$OUTPUT_DIR/all_strings.txt"|sort -u > "$OUTPUT_DIR/email_addresses.txt"

    # Extract IP addresses
    grep -oE "([0-9]\\\\{1,3\\\\}\.)\\\\{3\\\\}[0-9]\\\\{1,3\\\\}" "$OUTPUT_DIR/all_strings.txt"|sort -u > "$OUTPUT_DIR/ip_addresses.txt"

    # Extract potential passwords

| | grep -iE "(password | passwd | pwd | pass)" "$OUTPUT_DIR/all_strings.txt" > "$OUTPUT_DIR/potential_passwords.txt" | | fi \\}

Function to perform YARA scanning¶

yara_scan() \\{ echo "[+] Performing YARA scanning"

# Create basic malware detection rules
cat > "$OUTPUT_DIR/basic_malware.yar" << 'EOF'

rule Suspicious_Strings \\{ strings: $s1 = "cmd.exe" nocase $s2 = "powershell" nocase $s3 = "rundll32" nocase $s4 = "regsvr32" nocase $s5 = "wscript" nocase $s6 = "cscript" nocase condition: any of them \\}

rule Network_Indicators \\{ strings: $n1 = "http://" nocase $n2 = "https://" nocase $n3 = "ftp://" nocase $n4 = "tcp://" nocase condition: any of them \\}

rule Crypto_Indicators \\{ strings: $c1 = "AES" nocase $c2 = "RSA" nocase $c3 = "encrypt" nocase $c4 = "decrypt" nocase $c5 = "cipher" nocase condition: any of them \\} EOF

run_vol_cmd "yarascan" "yara_scan_results.txt" "--yara-rules $OUTPUT_DIR/basic_malware.yar"

\\}

Function to generate analysis report¶

generate_report() \\{ echo "[+] Generating analysis report"

local report_file="$OUTPUT_DIR/analysis_report.html"

cat > "$report_file" << EOF

Volatility Memory Analysis Report EOF # Add system information if [ -f "$OUTPUT_DIR/system_summary.txt" ]; then cat >> "$report_file" << EOF

System Information

$(cat "$OUTPUT_DIR/system_summary.txt")

EOF fi # Add suspicious processes if [ -f "$OUTPUT_DIR/suspicious_processes.txt" ] && [ -s "$OUTPUT_DIR/suspicious_processes.txt" ]; then cat >> "$report_file" << EOF

⚠️ Suspicious Processes

$(cat "$OUTPUT_DIR/suspicious_processes.txt")

EOF fi # Add network connections if [ -f "$OUTPUT_DIR/external_connections.txt" ] && [ -s "$OUTPUT_DIR/external_connections.txt" ]; then cat >> "$report_file" << EOF

External Network Connections

$(head -20 "$OUTPUT_DIR/external_connections.txt")

EOF fi # Add URLs found if [ -f "$OUTPUT_DIR/urls.txt" ] && [ -s "$OUTPUT_DIR/urls.txt" ]; then cat >> "$report_file" << EOF

URLs Found

$(head -20 "$OUTPUT_DIR/urls.txt")

EOF fi # Add file summary cat >> "$report_file" << EOF

Analysis Summary

| | | | | | | | | | | | | | | | | | | | | | | | | | | |

Category	Count	File
Total Processes	$(wc -l < "$OUTPUT_DIR/process_list.txt" 2>/dev/null \| \| echo 0)	process_list.txt
Suspicious Processes	$(wc -l < "$OUTPUT_DIR/suspicious_processes.txt" 2>/dev/null \| \| echo 0)	suspicious_processes.txt
Network Connections	$(wc -l < "$OUTPUT_DIR/network_connections.txt" 2>/dev/null \| \| echo 0)	network_connections.txt
External Connections	$(wc -l < "$OUTPUT_DIR/external_connections.txt" 2>/dev/null \| \| echo 0)	external_connections.txt
Files Found	$(wc -l < "$OUTPUT_DIR/file_list.txt" 2>/dev/null \| \| echo 0)	file_list.txt
URLs Found	$(wc -l < "$OUTPUT_DIR/urls.txt" 2>/dev/null \| \| echo 0)	urls.txt
Email Addresses	$(wc -l < "$OUTPUT_DIR/email_addresses.txt" 2>/dev/null \| \| echo 0)	email_addresses.txt

Generated Files

$(basename "$file")

EOF

echo "  [+] Analysis report generated: $report_file"

\\}

Function to create investigation summary¶

create_summary() \\{ echo "[+] Creating investigation summary"

local summary_file="$OUTPUT_DIR/investigation_summary.txt"

cat > "$summary_file" << EOF

Volatility Memory Analysis Summary¶

Memory Dump: $(basename "$MEMORY_DUMP") Analysis Date: $(date) Output Directory: $OUTPUT_DIR

Key Findings:¶

Recommendations:¶

Review suspicious processes for malicious activity
Investigate external network connections
Analyze files in temporary directories
Check autostart registry entries
Correlate findings with system logs and network traffic

Next Steps:¶

Extract and analyze suspicious executables
Perform deeper malware analysis if needed
Check for persistence mechanisms
Validate findings with additional tools
Document findings for incident response

Files Generated:¶

echo "  [+] Investigation summary created: $summary_file"

\\}

Main execution¶

echo "[+] Starting comprehensive memory analysis" echo "[+] Memory dump: $MEMORY_DUMP" echo "[+] Output directory: $OUTPUT_DIR"

Check if Volatility is available¶

if ! command -v $VOLATILITY_CMD &> /dev/null; then echo "[-] Volatility not found. Please install Volatility 3." exit 1 fi

Perform analysis¶

analyze_system_info analyze_processes analyze_network analyze_files analyze_registry extract_strings yara_scan

Generate reports¶

generate_report create_summary

echo "[+] Comprehensive memory analysis completed" echo "[+] Results saved in: $OUTPUT_DIR" echo "[+] Open $OUTPUT_DIR/analysis_report.html for detailed report" echo "[+] Review $OUTPUT_DIR/investigation_summary.txt for key findings" ```_

Automatisierung der Analyse¶

```bash

!/bin/bash¶

Automated malware analysis using Volatility¶

MEMORY_DUMP="$1" MALWARE_DIR="malware_analysis_$(date +%Y%m%d_%H%M%S)" YARA_RULES_DIR="/opt/yara-rules"

if [ -z "$MEMORY_DUMP" ]; then echo "Usage: $0 " exit 1 fi

mkdir -p "$MALWARE_DIR"

Function to detect process injection¶

detect_injection() \\{ echo "[+] Detecting process injection"

vol -f "$MEMORY_DUMP" windows.malfind > "$MALWARE_DIR/malfind_results.txt"

# Extract injected code
if [ -s "$MALWARE_DIR/malfind_results.txt" ]; then
    echo "  [+] Potential code injection detected"

    # Extract unique PIDs with injected code
    awk '/Process:/ \\\\{print $2\\\\}' "$MALWARE_DIR/malfind_results.txt"|sort -u > "$MALWARE_DIR/injected_pids.txt"

    # Dump memory for each injected process
    while read pid; do
        echo "  [+] Dumping memory for PID $pid"
        vol -f "$MEMORY_DUMP" windows.memmap --pid "$pid" --dump --output-dir "$MALWARE_DIR/dumps/"
    done < "$MALWARE_DIR/injected_pids.txt"
fi

\\}

Function to analyze suspicious processes¶

analyze_suspicious_processes() \\{ echo "[+] Analyzing suspicious processes"

# Get process list
vol -f "$MEMORY_DUMP" windows.pslist > "$MALWARE_DIR/process_list.txt"

# Find processes with suspicious characteristics
cat > "$MALWARE_DIR/suspicious_patterns.txt" << 'EOF'

Suspicious process patterns¶

cmd.exe powershell.exe wscript.exe cscript.exe rundll32.exe regsvr32.exe mshta.exe bitsadmin.exe certutil.exe schtasks.exe EOF

# Search for suspicious processes
while read pattern; do
    if [[ ! "$pattern" =~ ^# ]]; then
        grep -i "$pattern" "$MALWARE_DIR/process_list.txt" >> "$MALWARE_DIR/suspicious_processes.txt"
    fi
done < "$MALWARE_DIR/suspicious_patterns.txt"

# Analyze command lines for suspicious processes
if [ -s "$MALWARE_DIR/suspicious_processes.txt" ]; then
    echo "  [+] Found suspicious processes, analyzing command lines"

    awk '\\\\{print $2\\\\}' "$MALWARE_DIR/suspicious_processes.txt"|while read pid; do
        vol -f "$MEMORY_DUMP" windows.cmdline --pid "$pid" >> "$MALWARE_DIR/suspicious_cmdlines.txt"
    done
fi

\\}

Function to extract and analyze executables¶

extract_executables() \\{ echo "[+] Extracting suspicious executables"

# Get file list
vol -f "$MEMORY_DUMP" windows.filescan > "$MALWARE_DIR/file_list.txt"

# Find executable files in suspicious locations

# Extract suspicious files
if [ -s "$MALWARE_DIR/suspicious_files.txt" ]; then
    echo "  [+] Extracting suspicious files"

    mkdir -p "$MALWARE_DIR/extracted_files"

    while read line; do
        local offset=$(echo "$line"|awk '\\\\{print $1\\\\}')

| | local filename=$(echo "$line" | awk '\\{print $NF\\}' | tr '\' '_') | |

        vol -f "$MEMORY_DUMP" windows.dumpfiles --virtaddr "$offset" --output-dir "$MALWARE_DIR/extracted_files/"
    done < "$MALWARE_DIR/suspicious_files.txt"
fi

\\}

Function to perform YARA scanning¶

perform_yara_scan() \\{ echo "[+] Performing YARA scanning"

# Create comprehensive malware detection rules
cat > "$MALWARE_DIR/malware_detection.yar" << 'EOF'

rule Suspicious_API_Calls \\{ strings: $api1 = "VirtualAlloc" nocase $api2 = "VirtualProtect" nocase $api3 = "CreateRemoteThread" nocase $api4 = "WriteProcessMemory" nocase $api5 = "ReadProcessMemory" nocase $api6 = "SetWindowsHookEx" nocase $api7 = "GetProcAddress" nocase $api8 = "LoadLibrary" nocase condition: 3 of them \\}

rule Network_Communication \\{ strings: $net1 = "WinINet" nocase $net2 = "URLDownloadToFile" nocase $net3 = "InternetOpen" nocase $net4 = "InternetConnect" nocase $net5 = "HttpOpenRequest" nocase $net6 = "send" nocase $net7 = "recv" nocase $net8 = "WSAStartup" nocase condition: 2 of them \\}

rule Persistence_Mechanisms \\{ strings: $reg1 = "SOFTWARE\Microsoft\Windows\CurrentVersion\Run" nocase $reg2 = "SOFTWARE\Microsoft\Windows\CurrentVersion\RunOnce" nocase $svc1 = "CreateService" nocase $svc2 = "StartService" nocase $task1 = "schtasks" nocase $task2 = "at.exe" nocase condition: any of them \\}

rule Evasion_Techniques \\{ strings: $eva1 = "IsDebuggerPresent" nocase $eva2 = "CheckRemoteDebuggerPresent" nocase $eva3 = "OutputDebugString" nocase $eva4 = "GetTickCount" nocase $eva5 = "Sleep" nocase $eva6 = "VirtualQuery" nocase condition: 2 of them \\}

rule Encryption_Indicators \\{ strings: $cry1 = "CryptAcquireContext" nocase $cry2 = "CryptCreateHash" nocase $cry3 = "CryptEncrypt" nocase $cry4 = "CryptDecrypt" nocase $cry5 = "CryptGenKey" nocase $cry6 = "AES" nocase $cry7 = "RSA" nocase $cry8 = "MD5" nocase $cry9 = "SHA" nocase condition: 2 of them \\} EOF

# Perform YARA scan
vol -f "$MEMORY_DUMP" yarascan --yara-rules "$MALWARE_DIR/malware_detection.yar" > "$MALWARE_DIR/yara_results.txt"

# Use external YARA rules if available
if [ -d "$YARA_RULES_DIR" ]; then
    echo "  [+] Scanning with external YARA rules"

    find "$YARA_RULES_DIR" -name "*.yar" -o -name "*.yara"|while read rule_file; do
        local rule_name=$(basename "$rule_file" .yar)
        vol -f "$MEMORY_DUMP" yarascan --yara-rules "$rule_file" > "$MALWARE_DIR/yara_$\\\\{rule_name\\\\}.txt"
    done
fi

\\}

Function to analyze network artifacts¶

analyze_network_artifacts() \\{ echo "[+] Analyzing network artifacts"

# Get network connections
vol -f "$MEMORY_DUMP" windows.netstat > "$MALWARE_DIR/network_connections.txt"

# Extract external IPs

| | grep -vE "(127.0.0.1 | 0.0.0.0 | ::1 | 192.168. | 10. | 172.1[6-9]. | 172.2[0-9]. | 172.3[0-1].)" "$MALWARE_DIR/network_connections.txt" > "$MALWARE_DIR/external_connections.txt" | |

# Extract unique remote IPs

| | awk '\\{print $3\\\\}' "$MALWARE_DIR/external_connections.txt" | cut -d: -f1 | sort -u > "$MALWARE_DIR/remote_ips.txt" | |

# Analyze remote IPs
if [ -s "$MALWARE_DIR/remote_ips.txt" ]; then
    echo "  [+] Analyzing remote IP addresses"

    while read ip; do
        echo "Analyzing IP: $ip" >> "$MALWARE_DIR/ip_analysis.txt"

        # Perform reverse DNS lookup
        local hostname=$(dig +short -x "$ip" 2>/dev/null|head -1)
        echo "  Hostname: $\\\\{hostname:-No PTR record\\\\}" >> "$MALWARE_DIR/ip_analysis.txt"

        # Check if IP is in known malicious ranges (basic check)

        echo "---" >> "$MALWARE_DIR/ip_analysis.txt"
    done < "$MALWARE_DIR/remote_ips.txt"
fi

\\}

Function to check for rootkit indicators¶

check_rootkit_indicators() \\{ echo "[+] Checking for rootkit indicators"

# Check SSDT hooks

| | vol -f "$MEMORY_DUMP" windows.ssdt > "$MALWARE_DIR/ssdt_hooks.txt" 2>/dev/null | | echo "SSDT analysis not available" | |

# Check for hidden processes
vol -f "$MEMORY_DUMP" windows.psxview > "$MALWARE_DIR/hidden_processes.txt"

# Find processes that are hidden from certain detection methods
grep "False" "$MALWARE_DIR/hidden_processes.txt" > "$MALWARE_DIR/potentially_hidden.txt"

# Check for API hooks

| | vol -f "$MEMORY_DUMP" windows.apihooks > "$MALWARE_DIR/api_hooks.txt" 2>/dev/null | | echo "API hooks analysis not available" | | \\}

Function to generate malware analysis report¶

generate_malware_report() \\{ echo "[+] Generating malware analysis report"

local report_file="$MALWARE_DIR/malware_analysis_report.html"

cat > "$report_file" << EOF

Malware Analysis Report EOF # Add executive summary cat >> "$report_file" << EOF

📋 Executive Summary

| | | | | | | | | | | | | | | |

Indicator	Count	Risk Level
Suspicious Processes	$(wc -l < "$MALWARE_DIR/suspicious_processes.txt" 2>/dev/null \| \| echo 0)	$([ $(wc -l < "$MALWARE_DIR/suspicious_processes.txt" 2>/dev/null \| \| echo 0) -gt 0 ] && echo "High" \| \| echo "Low")
Code Injection Detected	$(grep -c "Process:" "$MALWARE_DIR/malfind_results.txt" 2>/dev/null \| \| echo 0)	$([ $(grep -c "Process:" "$MALWARE_DIR/malfind_results.txt" 2>/dev/null \| \| echo 0) -gt 0 ] && echo "Critical" \| \| echo "Low")
External Connections	$(wc -l < "$MALWARE_DIR/external_connections.txt" 2>/dev/null \| \| echo 0)	$([ $(wc -l < "$MALWARE_DIR/external_connections.txt" 2>/dev/null \| \| echo 0) -gt 5 ] && echo "Medium" \| \| echo "Low")
Hidden Processes	$(wc -l < "$MALWARE_DIR/potentially_hidden.txt" 2>/dev/null \| \| echo 0)	$([ $(wc -l < "$MALWARE_DIR/potentially_hidden.txt" 2>/dev/null \| \| echo 0) -gt 0 ] && echo "High" \| \| echo "Low")

EOF # Add code injection findings if [ -s "$MALWARE_DIR/malfind_results.txt" ]; then cat >> "$report_file" << EOF

🚨 Code Injection Detected

Potential code injection has been detected in the following processes:

$(head -50 "$MALWARE_DIR/malfind_results.txt")

EOF fi # Add suspicious processes if [ -s "$MALWARE_DIR/suspicious_processes.txt" ]; then cat >> "$report_file" << EOF

⚠️ Suspicious Processes

$(cat "$MALWARE_DIR/suspicious_processes.txt")

EOF fi # Add network analysis if [ -s "$MALWARE_DIR/external_connections.txt" ]; then cat >> "$report_file" << EOF

🌐 External Network Connections

$(head -20 "$MALWARE_DIR/external_connections.txt")

EOF fi # Add YARA results if [ -s "$MALWARE_DIR/yara_results.txt" ]; then cat >> "$report_file" << EOF

🔍 YARA Detection Results

$(cat "$MALWARE_DIR/yara_results.txt")

EOF fi # Add recommendations cat >> "$report_file" << EOF

📝 Recommendations

Immediate Actions:
- Isolate affected systems from the network
- Preserve memory dumps and disk images for further analysis
- Check for lateral movement indicators
Investigation:
- Analyze extracted executables with static analysis tools
- Correlate network connections with firewall logs
- Check for persistence mechanisms in registry and file system
Remediation:
- Remove identified malicious processes and files
- Update antivirus signatures and endpoint protection
- Implement network monitoring for identified IOCs

📁 Generated Files

$file

EOF

echo "  [+] Malware analysis report generated: $report_file"

\\}

Main execution¶

echo "[+] Starting automated malware analysis" echo "[+] Memory dump: $MEMORY_DUMP" echo "[+] Output directory: $MALWARE_DIR"

Perform malware analysis¶

detect_injection analyze_suspicious_processes extract_executables perform_yara_scan analyze_network_artifacts check_rootkit_indicators

Generate report¶

generate_malware_report

echo "[+] Automated malware analysis completed" echo "[+] Results saved in: $MALWARE_DIR" echo "[+] Open $MALWARE_DIR/malware_analysis_report.html for detailed findings"

Display summary¶

echo "" echo "=== ANALYSIS SUMMARY ===" | | echo "Suspicious processes: $(wc -l < "$MALWARE_DIR/suspicious_processes.txt" 2>/dev/null | | echo 0)" | | | | echo "Code injection detected: $(grep -c "Process:" "$MALWARE_DIR/malfind_results.txt" 2>/dev/null | | echo 0)" | | | | echo "External connections: $(wc -l < "$MALWARE_DIR/external_connections.txt" 2>/dev/null | | echo 0)" | | | | echo "Hidden processes: $(wc -l < "$MALWARE_DIR/potentially_hidden.txt" 2>/dev/null | | echo 0)" | | echo "========================" ```_

Zeitanalyse¶

```bash

!/bin/bash¶

Timeline analysis using Volatility¶

MEMORY_DUMP="$1" TIMELINE_DIR="timeline_analysis_$(date +%Y%m%d_%H%M%S)"

if [ -z "$MEMORY_DUMP" ]; then echo "Usage: $0 " exit 1 fi

mkdir -p "$TIMELINE_DIR"

Function to create comprehensive timeline¶

create_timeline() \\{ echo "[+] Creating comprehensive timeline"

# Note: Timeline functionality varies between Volatility versions
# This example shows both Vol2 and Vol3 approaches

# For Volatility 2 (if available)
if command -v vol2 &> /dev/null; then
    echo "  [+] Creating timeline with Volatility 2"

    # Determine profile first

| | local profile=$(vol2 -f "$MEMORY_DUMP" imageinfo | grep "Suggested Profile" | head -1 | awk '\\{print $4\\}' | tr -d ',') | |

    if [ -n "$profile" ]; then
        # Create body file
        vol2 -f "$MEMORY_DUMP" --profile="$profile" timeliner --output=body --output-file="$TIMELINE_DIR/timeline.body"

        # Convert to readable format
        if [ -f "$TIMELINE_DIR/timeline.body" ]; then
            mactime -b "$TIMELINE_DIR/timeline.body" -d > "$TIMELINE_DIR/timeline_readable.txt"
        fi
    fi
fi

# Alternative approach: Extract timestamps from various sources
echo "  [+] Extracting timestamps from various sources"

# Process creation times
vol -f "$MEMORY_DUMP" windows.pslist > "$TIMELINE_DIR/process_times.txt"

# File modification times
vol -f "$MEMORY_DUMP" windows.filescan > "$TIMELINE_DIR/file_times.txt"

# Registry timestamps (if available)
vol -f "$MEMORY_DUMP" windows.registry.hivelist > "$TIMELINE_DIR/registry_times.txt"

\\}

Function to analyze process timeline¶

analyze_process_timeline() \\{ echo "[+] Analyzing process timeline"

# Extract process creation times and sort chronologically
awk 'NR>1 \\\\{print $6, $7, $2, $3, $4\\\\}' "$TIMELINE_DIR/process_times.txt"|sort > "$TIMELINE_DIR/process_chronology.txt"

# Find processes created in quick succession (potential malware)
cat > "$TIMELINE_DIR/rapid_process_creation.py" << 'EOF'

!/usr/bin/env python3¶

import sys from datetime import datetime

def parse_timestamp(ts_str): try: return datetime.strptime(ts_str, "%Y-%m-%d %H:%M:%S") except: return None

def analyze_rapid_creation(filename): processes = []

with open(filename, 'r') as f:
    for line in f:
        parts = line.strip().split()
        if len(parts) >= 5:
            date_str = parts[0]
            time_str = parts[1]
            pid = parts[2]
            ppid = parts[3]
            name = parts[4]

            timestamp = parse_timestamp(f"\\\\{date_str\\\\} \\\\{time_str\\\\}")
            if timestamp:
                processes.append((timestamp, pid, ppid, name))

# Sort by timestamp
processes.sort(key=lambda x: x[0])

# Find rapid succession (within 10 seconds)
rapid_groups = []
current_group = []

for i, (ts, pid, ppid, name) in enumerate(processes):
    if not current_group:
        current_group = [(ts, pid, ppid, name)]
    else:
        time_diff = (ts - current_group[-1][0]).total_seconds()
        if time_diff <= 10:
            current_group.append((ts, pid, ppid, name))
        else:
            if len(current_group) >= 3:
                rapid_groups.append(current_group)
            current_group = [(ts, pid, ppid, name)]

# Check last group
if len(current_group) >= 3:
    rapid_groups.append(current_group)

return rapid_groups

if name == "main": if len(sys.argv) != 2: print("Usage: python3 rapid_process_creation.py ") sys.exit(1)

rapid_groups = analyze_rapid_creation(sys.argv[1])

if rapid_groups:
    print("Rapid Process Creation Detected:")
    print("=" * 50)

    for i, group in enumerate(rapid_groups):
        print(f"\nGroup \\\\{i+1\\\\} (\\\\{len(group)\\\\} processes):")
        for ts, pid, ppid, name in group:
            print(f"  \\\\{ts\\\\} - PID:\\\\{pid\\\\} PPID:\\\\{ppid\\\\} \\\\{name\\\\}")
else:
    print("No rapid process creation patterns detected.")

EOF

python3 "$TIMELINE_DIR/rapid_process_creation.py" "$TIMELINE_DIR/process_chronology.txt" > "$TIMELINE_DIR/rapid_creation_analysis.txt"

\\}

Function to create visual timeline¶

create_visual_timeline() \\{ echo "[+] Creating visual timeline"

cat > "$TIMELINE_DIR/create_timeline_chart.py" << 'EOF'

!/usr/bin/env python3¶

import matplotlib.pyplot as plt import matplotlib.dates as mdates from datetime import datetime import sys

def create_timeline_chart(process_file, output_file): timestamps = [] processes = []

try:
    with open(process_file, 'r') as f:
        for line in f:
            parts = line.strip().split()
            if len(parts) >= 5:
                try:
                    date_str = parts[0]
                    time_str = parts[1]
                    name = parts[4]

                    timestamp = datetime.strptime(f"\\\\{date_str\\\\} \\\\{time_str\\\\}", "%Y-%m-%d %H:%M:%S")
                    timestamps.append(timestamp)
                    processes.append(name)
                except:
                    continue

    if not timestamps:
        print("No valid timestamps found")
        return

    # Create timeline chart
    fig, ax = plt.subplots(figsize=(15, 8))

    # Plot process creation events
    y_positions = range(len(timestamps))
    ax.scatter(timestamps, y_positions, alpha=0.6, s=50)

    # Format x-axis
    ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
    ax.xaxis.set_major_locator(mdates.HourLocator(interval=1))
    plt.xticks(rotation=45)

    # Add labels
    ax.set_xlabel('Time')
    ax.set_ylabel('Process Creation Events')
    ax.set_title('Process Creation Timeline')

    # Add grid
    ax.grid(True, alpha=0.3)

    plt.tight_layout()
    plt.savefig(output_file, dpi=300, bbox_inches='tight')
    print(f"Timeline chart saved: \\\\{output_file\\\\}")

except Exception as e:
    print(f"Error creating timeline chart: \\\\{e\\\\}")

if name == "main": if len(sys.argv) != 3: print("Usage: python3 create_timeline_chart.py ") sys.exit(1)

create_timeline_chart(sys.argv[1], sys.argv[2])

EOF

# Install matplotlib if not available

| | pip3 install matplotlib &>/dev/null | | echo "Warning: matplotlib not available for timeline visualization" | |

# Create timeline chart

| | python3 "$TIMELINE_DIR/create_timeline_chart.py" "$TIMELINE_DIR/process_chronology.txt" "$TIMELINE_DIR/process_timeline.png" 2>/dev/null | | echo "Timeline visualization skipped" | | \\}

Function to correlate events¶

correlate_events() \\{ echo "[+] Correlating timeline events"

cat > "$TIMELINE_DIR/event_correlation.txt" << EOF

Timeline Event Correlation Analysis¶

Analysis Date: $(date) Memory Dump: $(basename "$MEMORY_DUMP")

Process Timeline Analysis: | | $(cat "$TIMELINE_DIR/rapid_creation_analysis.txt" 2>/dev/null | | echo "No rapid creation patterns detected") | |

Key Observations:¶

EOF

# Analyze process parent-child relationships
echo "Process Parent-Child Relationships:" >> "$TIMELINE_DIR/event_correlation.txt"
vol -f "$MEMORY_DUMP" windows.pstree >> "$TIMELINE_DIR/event_correlation.txt"

# Look for suspicious timing patterns
echo "" >> "$TIMELINE_DIR/event_correlation.txt"
echo "Timing Pattern Analysis:" >> "$TIMELINE_DIR/event_correlation.txt"

# Find processes created at unusual times (e.g., outside business hours)
awk 'NR>1 \\\\{
    split($7, time_parts, ":");
    hour = time_parts[1];

| | if (hour < 6 | | hour > 22) \\{ | | print "Unusual time: " $0; \\\\} \\\\}' "$TIMELINE_DIR/process_times.txt" >> "$TIMELINE_DIR/event_correlation.txt" \\}

Function to generate timeline report¶

generate_timeline_report() \\{ echo "[+] Generating timeline analysis report"

local report_file="$TIMELINE_DIR/timeline_report.html"

cat > "$report_file" << EOF

Timeline Analysis Report EOF # Add timeline visualization if available if [ -f "$TIMELINE_DIR/process_timeline.png" ]; then cat >> "$report_file" << EOF

📊 Process Creation Timeline

EOF fi # Add rapid creation analysis if [ -s "$TIMELINE_DIR/rapid_creation_analysis.txt" ]; then cat >> "$report_file" << EOF

⚡ Rapid Process Creation Analysis

$(cat "$TIMELINE_DIR/rapid_creation_analysis.txt")

EOF fi # Add process chronology cat >> "$report_file" << EOF

📋 Process Chronology

| |

$(head -50 "$TIMELINE_DIR/process_chronology.txt" 2>/dev/null |  | echo "Process chronology not available")

| |

EOF # Add event correlation if [ -f "$TIMELINE_DIR/event_correlation.txt" ]; then cat >> "$report_file" << EOF

🔗 Event Correlation Analysis

$(cat "$TIMELINE_DIR/event_correlation.txt")

EOF fi # Add summary statistics cat >> "$report_file" << EOF

📈 Timeline Statistics

| | | | | | | | | | | |

Metric	Value
Total Processes Analyzed	$(wc -l < "$TIMELINE_DIR/process_times.txt" 2>/dev/null \| \| echo 0)
Chronological Events	$(wc -l < "$TIMELINE_DIR/process_chronology.txt" 2>/dev/null \| \| echo 0)
Timeline Span	$(head -1 "$TIMELINE_DIR/process_chronology.txt" 2>/dev/null \| awk '\\\\{print $1, $2\\\\}') to $(tail -1 "$TIMELINE_DIR/process_chronology.txt" 2>/dev/null \| awk '\\\\{print $1, $2\\\\}')

📁 Generated Files

$file

🎯 Key Findings & Recommendations

Process Creation Patterns: Review rapid process creation events for potential malware activity
Timing Analysis: Investigate processes created during unusual hours
Parent-Child Relationships: Analyze process trees for suspicious spawning patterns
Correlation: Cross-reference timeline events with network logs and file system changes

EOF

echo "  [+] Timeline analysis report generated: $report_file"

\\}

Main execution¶

echo "[+] Starting timeline analysis" echo "[+] Memory dump: $MEMORY_DUMP" echo "[+] Output directory: $TIMELINE_DIR"

Perform timeline analysis¶

create_timeline analyze_process_timeline create_visual_timeline correlate_events

Generate report¶

generate_timeline_report

echo "[+] Timeline analysis completed" echo "[+] Results saved in: $TIMELINE_DIR" echo "[+] Open $TIMELINE_DIR/timeline_report.html for detailed timeline analysis" ```_

Integration mit anderen Tools¶

Rekall Integration¶

```bash

Use Rekall for additional analysis¶

rekall -f memory.dmp pslist

Compare Volatility and Rekall results¶

vol -f memory.dmp windows.pslist > vol_pslist.txt rekall -f memory.dmp pslist > rekall_pslist.txt diff vol_pslist.txt rekall_pslist.txt ```_

YARA Integration¶

```bash

Create custom YARA rules¶

cat > custom_rules.yar << 'EOF' rule Suspicious_Process_Names \\{ strings: $s1 = "svchost.exe" nocase $s2 = "explorer.exe" nocase $s3 = "winlogon.exe" nocase condition: any of them \\} EOF

Scan memory with YARA rules¶

vol -f memory.dmp yarascan --yara-rules custom_rules.yar ```_

Bulk Extractor Integration¶

```bash

Extract strings and artifacts with bulk_extractor¶

bulk_extractor -o bulk_output memory.dmp

Compare with Volatility strings¶

vol -f memory.dmp windows.strings > vol_strings.txt diff vol_strings.txt bulk_output/telephone.txt ```_

Fehlerbehebung¶

Gemeinsame Themen¶

Probleme der Profilerkennung¶

```bash

Manual profile specification (Vol 2)¶

vol2 -f memory.dmp --profile=Win10x64_19041 pslist

List available profiles¶

vol2 --info|grep "Win"

Use kdbgscan for profile detection¶

vol2 -f memory.dmp kdbgscan ```_

Gedächtnis Korruption¶

```bash

Check for memory corruption¶

vol -f memory.dmp windows.info|grep -i corrupt

Use alternative scanning methods¶

vol -f memory.dmp windows.psscan vol -f memory.dmp windows.filescan ```_

Große Memory Dumps¶

```bash

Process large dumps efficiently¶

vol -f memory.dmp windows.pslist --output-file pslist.txt

Use specific address ranges¶

vol -f memory.dmp windows.vadinfo --pid 1234 --address 0x12345678 ```_

Plugin Fehler¶

```bash

Check plugin availability¶

vol --list-plugins

Get plugin help¶

vol windows.pslist -h

Debug plugin execution¶

vol -f memory.dmp windows.pslist -vv ```_

Leistungsoptimierung¶

```bash

Use output files to avoid re-processing¶

vol -f memory.dmp windows.pslist -o pslist.txt

Limit output for large datasets¶

vol -f memory.dmp windows.filescan|head -1000

Use specific PIDs for targeted analysis¶

vol -f memory.dmp windows.handles --pid 1234

Parallel processing for multiple dumps¶

for dump in *.dmp; do vol -f "$dump" windows.pslist > "$\\{dump%.dmp\\}pslist.txt" & done wait ```

Ressourcen¶

[Volatilitätsstiftung](LINK_7__ -%20Volatilität%203%20Dokumentation
[Volatility GitHub Repository](LINK_7 -%20Memory%20Forensics%20with%20Volatility
[Digital Forensics Framework](LINK_7 -%20(YARA%20Rules%20Repository)(LINK_7_)
Memory Analysis Techniques

--

*Dieses Betrugsblatt bietet einen umfassenden Bezug zur Verwendung von Volatility für die Analyse von Speicherforensiken. Stellen Sie immer eine ordnungsgemäße rechtliche Autorisierung vor der Analyse von Speicherdeponien und folgen Sie den forensischen Verfahren Ihrer Organisation und der Kette der Sorgeanforderungen. *

Volatilität Cheat Sheet¶

Überblick¶

Installation¶

Volatilität 3 Installation (empfohlen)¶

Install via pip (Python 3.6+)¶

Install from GitHub (latest development version)¶

Verify installation¶

Install additional dependencies¶

Volatilität 2 Installation (Legacy)¶

Install Volatility 2 (Python 2.7)¶

Install dependencies¶

Verify installation¶

Create alias for easier usage¶

Docker Installation¶

Pull Volatility Docker image¶

Run Volatility in Docker¶

Create alias for Docker usage¶

Run with specific memory dump¶

Ubuntu/Debian Installation¶

Install from package repository¶

Install additional tools¶

Install legacy Volatility 2¶

Verify installations¶

Windows Installation¶

Download standalone executable from GitHub releases¶

https://github.com/volatilityfoundation/volatility3/releases¶

Or install via Python¶

Install Python dependencies¶

Verify installation¶

Basisnutzung¶

Speicherort Analyse Workflow¶

Step 1: Identify the operating system and version¶

Step 2: List running processes¶

Step 3: Analyze network connections¶

Step 4: Examine loaded modules¶

Step 5: Check for malicious processes¶

Step 6: Extract suspicious files¶

Volatilität 2 Legacy Commands¶

Identify image information (Volatility 2)¶

Use specific profile¶

List available plugins¶

Get plugin help¶

Grundlegende Systeminformationen¶

Get system information (Vol 3)¶

Get system information (Vol 2)¶

Check system uptime¶

Get kernel information¶

Check for hibernation file¶

Prozessanalyse¶

Prozessliste und Analyse¶

List all processes (Vol 3)¶

List processes with parent-child relationships¶

Show process command lines¶

List processes with detailed information¶

Find hidden processes¶

Scan for process objects¶

Prozessspeicheranalyse¶

Dump process memory¶

Extract process executable¶

Analyze process handles¶

Check process privileges¶

Examine process environment variables¶

Analyze process VAD (Virtual Address Descriptor)¶

Malware-Detektion¶

Detect code injection¶

Scan for YARA rules¶

Check for API hooks¶

Detect rootkits¶

Find suspicious processes¶

Check for process hollowing¶

Netzwerkanalyse¶

Netzwerkverbindungen¶

List network connections (Vol 3)¶

List network connections (Vol 2)¶

Show listening sockets¶

Find connections by process¶

Analyze network artifacts¶

Extract network configuration¶

DNS und Netzwerk-Artefakte¶

Extract DNS cache (Vol 2)¶

https://github.com/volatilityfoundation/volatility3/releases ¶