Skip to main content الرئيسية المنشئون agentflocks flocks analyzing-windows-registry-for-artifacts
analyzing-windows-registry-for-artifacts Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart entries, and evidence of system compromise.
الانتقال إلى التثبيت سوق المهارات اكتشف واستكشف مهارات الذكاء الاصطناعي التي بناها المجتمع.
المهن ذات الصلة SOC
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
عرض تفاصيل Prompt يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/AgentFlocks/flocks --skill analyzing-windows-registry-for-artifactsيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
تحميل Zip جاري التحميل... name analyzing-windows-registry-for-artifacts description Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart entries, and evidence of system compromise. domain cybersecurity subdomain digital-forensics tags ["forensics","windows-registry","artifact-analysis","regripper","registry-explorer","evidence-collection"] version 1.0 author mahipal license Apache-2.0 nist_csf ["RS.AN-01","RS.AN-03","DE.AE-02","RS.MA-01"]
Analyzing Windows Registry for Artifacts
When to Use
When investigating user activity on a Windows system during an incident
For identifying autorun/persistence mechanisms used by malware
When tracing installed software, USB devices, and network connections
During insider threat investigations to reconstruct user actions
For correlating registry timestamps with other forensic artifacts
Prerequisites
Forensic image or extracted registry hive files
RegRipper, Registry Explorer (Eric Zimmerman), or python-registry
Access to registry hive locations (SAM, SYSTEM, SOFTWARE, NTUSER.DAT, UsrClass.dat)
Understanding of Windows Registry structure (hives, keys, values)
SIFT Workstation or forensic analysis environment
Workflow
Step 1: Extract Registry Hives from the Forensic Image
mkdir /mnt/evidence
mount -o ro,loop,offset=$((2048 *512 )) /cases/case-2024-001/images/evidence.dd /mnt/evidence
cp /mnt/evidence/Windows/System32/config/SAM /cases/case-2024-001/registry/
cp /mnt/evidence/Windows/System32/config/SYSTEM /cases/case-2024-001/registry/
cp /mnt/evidence/Windows/System32/config/SOFTWARE /cases/case-2024-001/registry/
cp /mnt/evidence/Windows/System32/config/SECURITY /cases/case-2024-001/registry/
cp /mnt/evidence/Windows/System32/config/DEFAULT /cases/case-2024-001/registry/
cp /mnt/evidence/Users/*/NTUSER.DAT /cases/case-2024-001/registry/
cp /mnt/evidence/Users/*/AppData/Local/Microsoft/Windows/UsrClass.dat /cases/case-2024-001/registry/
cp /mnt/evidence/Windows/System32/config/*.LOG* /cases/case-2024-001/registry/logs/
sha256sum /cases/case-2024-001/registry/* > /cases/case-2024-001/registry/hive_hashes.txt
Step 2: Analyze with RegRipper for Automated Artifact Extraction
git clone
Step 3: Extract Persistence and Autorun Entries
pip install python-registry
python3 << 'PYEOF'
from Registry import Registry
reg = Registry.Registry("/cases/case-2024-001/registry/SOFTWARE" )
autorun_paths = [
"Microsoft\\Windows\\CurrentVersion\\Run" ,
"Microsoft\\Windows\\CurrentVersion\\RunOnce" ,
"Microsoft\\Windows\\CurrentVersion\\RunServices" ,
"Microsoft\\Windows\\CurrentVersion\\Policies\\Explorer\\Run" ,
"Wow6432Node\\Microsoft\\Windows\\CurrentVersion\\Run"
]
for path in autorun_paths:
try:
key = reg.open(path)
print (f"\n=== {path} (Last Modified: {key.timestamp()}) ===" )
for value in key.values():
print (f" {value.name()}: {value.value()}" )
except Registry.RegistryKeyNotFoundException:
pass
key = reg.open("Microsoft\\Windows NT\\CurrentVersion\\Svchost" )
print (f"\n=== Svchost Groups ===" )
for value in key.values():
print (f" {value.name()}: {value.value()}" )
PYEOF
python3 << 'PYEOF'
from Registry import Registry
reg = Registry.Registry("/cases/case-2024-001/registry/NTUSER.DAT" )
user_autorun = [
"Software\\Microsoft\\Windows\\CurrentVersion\\Run" ,
"Software\\Microsoft\\Windows\\CurrentVersion\\RunOnce" ,
"Software\\Microsoft\\Windows\\CurrentVersion\\Explorer\\StartupApproved\\Run"
]
for path in user_autorun:
try:
key = reg.open(path)
print (f"\n=== {path} (Last Modified: {key.timestamp()}) ===" )
for value in key.values():
print (f" {value.name()}: {value.value()}" )
except Registry.RegistryKeyNotFoundException:
pass
PYEOF
Step 4: Analyze User Activity Artifacts
python3 << 'PYEOF'
from Registry import Registry
import codecs, struct, datetime
reg = Registry.Registry("/cases/case-2024-001/registry/NTUSER.DAT" )
ua_path = "Software\\Microsoft\\Windows\\CurrentVersion\\Explorer\\UserAssist"
key = reg.open(ua_path)
for guid_key in key.subkeys():
count_key = guid_key.subkey("Count" )
print (f"\n=== {guid_key.name()} ===" )
for value in count_key.values():
decoded_name = codecs.decode(value.name(), 'rot_13' )
data = value.value()
if len(data) >= 16:
run_count = struct.unpack('<I' , data[4:8])[0]
focus_count = struct.unpack('<I' , data[8:12])[0]
timestamp = struct.unpack('<Q' , data[60:68])[0] if len(data) >= 68 else 0
if timestamp > 0:
ts = datetime.datetime(1601,1,1) + datetime.timedelta(microseconds=timestamp//10)
print (f" {decoded_name}: Runs={run_count}, Focus={focus_count}, Last={ts}" )
else :
print (f" {decoded_name}: Runs={run_count}, Focus={focus_count}" )
PYEOF
perl /opt/regripper/rip.pl -r /cases/case-2024-001/registry/NTUSER.DAT \
-p recentdocs > /cases/case-2024-001/analysis/recentdocs.txt
perl /opt/regripper/rip.pl -r /cases/case-2024-001/registry/NTUSER.DAT \
-p typedurls > /cases/case-2024-001/analysis/typedurls.txt
perl /opt/regripper/rip.pl -r /cases/case-2024-001/registry/NTUSER.DAT \
-p typedpaths > /cases/case-2024-001/analysis/typedpaths.txt
Step 5: Extract System and Network Information
perl /opt/regripper/rip.pl -r /cases/case-2024-001/registry/SYSTEM \
-p compname > /cases/case-2024-001/analysis/system_info.txt
perl /opt/regripper/rip.pl -r /cases/case-2024-001/registry/SYSTEM \
-p nic2 >> /cases/case-2024-001/analysis/system_info.txt
perl /opt/regripper/rip.pl -r /cases/case-2024-001/registry/SOFTWARE \
-p networklist > /cases/case-2024-001/analysis/network_history.txt
perl /opt/regripper/rip.pl -r /cases/case-2024-001/registry/SYSTEM \
-p timezone > /cases/case-2024-001/analysis/timezone.txt
perl /opt/regripper/rip.pl -r /cases/case-2024-001/registry/SYSTEM \
-p shutdown > /cases/case-2024-001/analysis/shutdown.txt
perl /opt/regripper/rip.pl -r /cases/case-2024-001/registry/SOFTWARE \
-p uninstall > /cases/case-2024-001/analysis/installed_software.txt
Key Concepts Concept Description Registry hive Binary file storing a section of the registry (SAM, SYSTEM, SOFTWARE, NTUSER.DAT) MRU (Most Recently Used) Lists tracking recently accessed files, commands, and search terms UserAssist ROT13-encoded registry entries tracking program execution with timestamps ShimCache Application compatibility cache recording executed programs AmCache Detailed execution history including SHA-1 hashes of executables BAM/DAM Background/Desktop Activity Moderator tracking program execution in Win10+ Last Write Time Timestamp on registry keys indicating when they were last modified Transaction logs Journal files allowing recovery of registry state after improper shutdown
Tools & Systems Tool Purpose RegRipper Automated registry artifact extraction with plugin architecture Registry Explorer Eric Zimmerman GUI tool for interactive registry analysis python-registry Python library for programmatic registry hive parsing RECmd Eric Zimmerman command-line registry analysis tool yarp Yet Another Registry Parser for Python-based analysis AppCompatCacheParser Dedicated ShimCache/AppCompatCache parser AmcacheParser Dedicated AmCache.hve analysis tool ShellBags Explorer Specialized tool for analyzing ShellBag artifacts
Common Scenarios Scenario 1: Malware Persistence Investigation
Extract SOFTWARE and NTUSER.DAT hives, check all Run/RunOnce keys for unauthorized entries, examine services for suspicious additions, check scheduled tasks registry keys, correlate autorun timestamps with malware execution timeline.
Scenario 2: User Activity Reconstruction
Analyze UserAssist for program execution history, examine RecentDocs for accessed files, check TypedPaths for Explorer navigation, extract ShellBags for folder access patterns, build a timeline of user activity around the incident window.
Scenario 3: Unauthorized Software Detection
Parse Uninstall keys for all installed applications, compare against approved software baseline, check BAM/DAM for recently executed programs not in approved list, examine AppCompatCache for execution evidence even after uninstallation.
Scenario 4: USB Data Exfiltration Investigation
Extract USBSTOR entries from SYSTEM hive for connected devices, correlate device serial numbers with MountedDevices, check NTUSER.DAT MountPoints2 for user access to removable media, examine SetupAPI logs for first-connection timestamps.
Output Format Registry Analysis Summary:
System: DESKTOP-ABC123 (Windows 10 Pro Build 19041)
Timezone: Eastern Standard Time (UTC-5)
Last Shutdown: 2024-01-18 23:45:12 UTC
Autorun Entries:
HKLM Run: 5 entries (1 suspicious: "updater.exe" -> C:\ProgramData\svc\updater.exe)
HKCU Run: 3 entries (all legitimate)
Services: 142 entries (2 unknown: "WinDefSvc", "SysMonAgent")
User Activity (NTUSER.DAT):
UserAssist Programs: 234 entries
Recent Documents: 89 entries
Typed URLs: 45 entries
Typed Paths: 12 entries
USB Devices Connected:
- Kingston DataTraveler (Serial: 0019E06B4521) - First: 2024-01-10, Last: 2024-01-18
- WD My Passport (Serial: 575834314131) - First: 2024-01-15, Last: 2024-01-15
Installed Software: 127 applications
Suspicious Findings: 3 items flagged for review
