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Get Started Free →Comprehensive techniques for acquiring, analyzing, and extracting artifacts from memory dumps for incident response and malware analysis.
.claude/skills/memory-forensics/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | — | — |
| case-14 | ✗→✓ | ▲ Improved | — | — |
| case-19 | ✗→✗ | = Same ✗ | — | — |
| case-20 | ✗→✗ | = Same ✗ | — | — |
| case-01 | ✗→✗ | = Same ✗ | — | — |
Comprehensive techniques for acquiring, analyzing, and extracting artifacts from memory dumps for incident response and malware analysis.
resources/implementation-playbook.md.powershell# WinPmem (Recommended) winpmem_mini_x64.exe memory.raw # DumpIt DumpIt.exe # Belkasoft RAM Capturer # GUI-based, outputs raw format # Magnet RAM Capture # GUI-based, outputs raw format
bash# LiME (Linux Memory Extractor) sudo insmod lime.ko "path=/tmp/memory.lime format=lime" # /dev/mem (limited, requires permissions) sudo dd if=/dev/mem of=memory.raw bs=1M # /proc/kcore (ELF format) sudo cp /proc/kcore memory.elf
bash# osxpmem sudo ./osxpmem -o memory.raw # MacQuisition (commercial)
bash# VMware: .vmem file is raw memory cp vm.vmem memory.raw # VirtualBox: Use debug console vboxmanage debugvm "VMName" dumpvmcore --filename memory.elf # QEMU virsh dump <domain> memory.raw --memory-only # Hyper-V # Checkpoint contains memory state
bash# Install Volatility 3 pip install volatility3 # Install symbol tables (Windows) # Download from https://downloads.volatilityfoundation.org/volatility3/symbols/ # Basic usage vol -f memory.raw <plugin> # With symbol path vol -f memory.raw -s /path/to/symbols windows.pslist
bash# List processes vol -f memory.raw windows.pslist # Process tree (parent-child relationships) vol -f memory.raw windows.pstree # Hidden process detection vol -f memory.raw windows.psscan # Process memory dumps vol -f memory.raw windows.memmap --pid <PID> --dump # Process environment variables vol -f memory.raw windows.envars --pid <PID> # Command line arguments vol -f memory.raw windows.cmdline
bash# Network connections vol -f memory.raw windows.netscan # Network connection state vol -f memory.raw windows.netstat
bash# Loaded DLLs per process vol -f memory.raw windows.dlllist --pid <PID> # Find hidden/injected DLLs vol -f memory.raw windows.ldrmodules # Kernel modules vol -f memory.raw windows.modules # Module dumps vol -f memory.raw windows.moddump --pid <PID>
bash# Detect code injection vol -f memory.raw windows.malfind # VAD (Virtual Address Descriptor) analysis vol -f memory.raw windows.vadinfo --pid <PID> # Dump suspicious memory regions vol -f memory.raw windows.vadyarascan --yara-rules rules.yar
bash# List registry hives vol -f memory.raw windows.registry.hivelist # Print registry key vol -f memory.raw windows.registry.printkey --key "Software\Microsoft\Windows\CurrentVersion\Run" # Dump registry hive vol -f memory.raw windows.registry.hivescan --dump
bash# Scan for file objects vol -f memory.raw windows.filescan # Dump files from memory vol -f memory.raw windows.dumpfiles --pid <PID> # MFT analysis vol -f memory.raw windows.mftscan
bash# Process listing vol -f memory.raw linux.pslist # Process tree vol -f memory.raw linux.pstree # Bash history vol -f memory.raw linux.bash # Network connections vol -f memory.raw linux.sockstat # Loaded kernel modules vol -f memory.raw linux.lsmod # Mount points vol -f memory.raw linux.mount # Environment variables vol -f memory.raw linux.envars
bash# Process listing vol -f memory.raw mac.pslist # Process tree vol -f memory.raw mac.pstree # Network connections vol -f memory.raw mac.netstat # Kernel extensions vol -f memory.raw mac.lsmod
bash# 1. Initial process survey vol -f memory.raw windows.pstree > processes.txt vol -f memory.raw windows.pslist > pslist.txt # 2. Network connections vol -f memory.raw windows.netscan > network.txt # 3. Detect injection vol -f memory.raw windows.malfind > malfind.txt # 4. Analyze suspicious processes vol -f memory.raw windows.dlllist --pid <PID> vol -f memory.raw windows.handles --pid <PID> # 5. Dump suspicious executables vol -f memory.raw windows.pslist --pid <PID> --dump # 6. Extract strings from dumps strings -a pid.<PID>.exe > strings.txt # 7. YARA scanning vol -f memory.raw windows.yarascan --yara-rules malware.yar
bash# 1. Timeline of events vol -f memory.raw windows.timeliner > timeline.csv # 2. User activity vol -f memory.raw windows.cmdline vol -f memory.raw windows.consoles # 3. Persistence mechanisms vol -f memory.raw windows.registry.printkey \ --key "Software\Microsoft\Windows\CurrentVersion\Run" # 4. Services vol -f memory.raw windows.svcscan # 5. Scheduled tasks vol -f memory.raw windows.scheduled_tasks # 6. Recent files vol -f memory.raw windows.filescan | grep -i "recent"
c// EPROCESS (Executive Process) typedef struct _EPROCESS { KPROCESS Pcb; // Kernel process block EX_PUSH_LOCK ProcessLock; LARGE_INTEGER CreateTime; LARGE_INTEGER ExitTime; // ... LIST_ENTRY ActiveProcessLinks; // Doubly-linked list ULONG_PTR UniqueProcessId; // PID // ... PEB* Peb; // Process Environment Block // ... } EPROCESS; // PEB (Process Environment Block) typedef struct _PEB { BOOLEAN InheritedAddressSpace; BOOLEAN ReadImageFileExecOptions; BOOLEAN BeingDebugged; // Anti-debug check // ... PVOID ImageBaseAddress; // Base address of executable PPEB_LDR_DATA Ldr; // Loader data (DLL list) PRTL_USER_PROCESS_PARAMETERS ProcessParameters; // ... } PEB;
ctypedef struct _MMVAD { MMVAD_SHORT Core; union { ULONG LongFlags; MMVAD_FLAGS VadFlags; } u; // ... PVOID FirstPrototypePte; PVOID LastContiguousPte; // ... PFILE_OBJECT FileObject; } MMVAD; // Memory protection flags #define PAGE_EXECUTE 0x10 #define PAGE_EXECUTE_READ 0x20 #define PAGE_EXECUTE_READWRITE 0x40 #define PAGE_EXECUTE_WRITECOPY 0x80
python# Malfind indicators # - PAGE_EXECUTE_READWRITE protection (suspicious) # - MZ header in non-image VAD region # - Shellcode patterns at allocation start # Common injection techniques # 1. Classic DLL Injection # - VirtualAllocEx + WriteProcessMemory + CreateRemoteThread # 2. Process Hollowing # - CreateProcess (SUSPENDED) + NtUnmapViewOfSection + WriteProcessMemory # 3. APC Injection # - QueueUserAPC targeting alertable threads # 4. Thread Execution Hijacking # - SuspendThread + SetThreadContext + ResumeThread
bash# Compare process lists vol -f memory.raw windows.pslist > pslist.txt vol -f memory.raw windows.psscan > psscan.txt diff pslist.txt psscan.txt # Hidden processes # Check for DKOM (Direct Kernel Object Manipulation) vol -f memory.raw windows.callbacks # Detect hooked functions vol -f memory.raw windows.ssdt # System Service Descriptor Table # Driver analysis vol -f memory.raw windows.driverscan vol -f memory.raw windows.driverirp
bash# Dump hashes (requires hivelist first) vol -f memory.raw windows.hashdump # LSA secrets vol -f memory.raw windows.lsadump # Cached domain credentials vol -f memory.raw windows.cachedump # Mimikatz-style extraction # Requires specific plugins/tools
yararule Suspicious_Injection { meta: description = "Detects common injection shellcode" strings: // Common shellcode patterns $mz = { 4D 5A } $shellcode1 = { 55 8B EC 83 EC } // Function prologue $api_hash = { 68 ?? ?? ?? ?? 68 ?? ?? ?? ?? E8 } // Push hash, call condition: $mz at 0 or any of ($shellcode*) } rule Cobalt_Strike_Beacon { meta: description = "Detects Cobalt Strike beacon in memory" strings: $config = { 00 01 00 01 00 02 } $sleep = "sleeptime" $beacon = "%s (admin)" wide condition: 2 of them }
bash# Scan all process memory vol -f memory.raw windows.yarascan --yara-rules rules.yar # Scan specific process vol -f memory.raw windows.yarascan --yara-rules rules.yar --pid 1234 # Scan kernel memory vol -f memory.raw windows.yarascan --yara-rules rules.yar --kernel
bash# Basic string extraction strings -a memory.raw > all_strings.txt # Unicode strings strings -el memory.raw >> all_strings.txt # Targeted extraction from process dump vol -f memory.raw windows.memmap --pid 1234 --dump strings -a pid.1234.dmp > process_strings.txt # Pattern matching grep -E "(https?://|[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3})" all_strings.txt
bash# FLOSS extracts obfuscated strings floss malware.exe > floss_output.txt # From memory dump floss pid.1234.dmp
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-19 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-20 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-01 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-22 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-18 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-13 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-02 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-05 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-04 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-11 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-15 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-08 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-21 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-14 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-03 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-06 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-07 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-09 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-10 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-12 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-16 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-17 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 21 counted toward the lift figure. The other 1 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +9 percentage points is the difference between those two pass rates over the 21 comparable cases.
The per-case answers from this run were removed by the retention sweep, so the case table below shows the verdicts without the text either arm produced. The counts above were recorded at the time and are unaffected. Answers are now kept for 180 days.
Other measured skills in the registry, with their headline benchmark lift.