Rapidly Search and Hunt through Windows Forensic Artefacts
Chainsaw provides a powerful โfirst-responseโ capability to quickly identify threats within Windows forensic artefacts such as Event Logs and MFTs. Chainsaw offers a generic and fast method of searching through event logs for keywords, and by identifying threats using built-in support for Sigma detection rules, and via custom Chainsaw detection rules.
Features
๐ฏ Hunt for threats using Sigma detection rules and custom Chainsaw detection rules๐ Search and extract forensic artefacts by string matching, and regex patternsโก Lightning fast, written in rust, wrapping the EVTX parser library by @OBenamram๐ชถ Clean and lightweight execution and output formats without unnecessary bloat๐ฅ Document tagging (detection logic matching) provided by the TAU Engine Library๐ Create execution timelines by analysing Shimcache artefacts and enriching them with Amcache data๐ Output results in a variety of formats, such as ASCII table format, CSV format, and JSON format๐ป Can be run on MacOS, Linux and Windows
$ ./chainsaw hunt -r rules/ evtx_attack_samples -s sigma/rules --mapping mappings/sigma-event-logs-all.yml --level critical
โโโโโโโโโโ โโโ โโโโโโ โโโโโโโ โโโโโโโโโโโ โโโโโโ โโโ โโโ
โโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโโโโ โโโ
โโโ โโโโโโโโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโโโโ โโ โโโ
โโโ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โโโโโโโโโโโ โโโโโโ โโโโโโโโโ โโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโ
โโโโโโโโโโ โโโโโโ โโโโโโโโโ โโโโโโโโโโโโโโโโ โโโ โโโโโโโโ
By Countercept (@FranticTyping, @AlexKornitzer)
[+] Loading detection rules from: ../../rules/, /tmp/sigma/rules
[+] Loaded 129 detection rules (198 not loaded)
[+] Loading event logs from: ../../evtx_attack_samples (extensions: .evtx)
[+] Loaded 268 EVTX files (37.5 MB)
[+] Hunting: [========================================] 268/268
[+] Group: Antivirus
โโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโฌโโโโโโโโโโโโฌโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโ
โ timestamp โ detections โ Event ID โ Record ID โ Computer โ Threat Name โ Threat Path โ User โ
โโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโผโโโโโโโโโโโโผโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโค
โ 2019-07-18 20:40:00 โ โฃ Windows Defender โ 1116 โ 37 โ MSEDGEWIN10 โ Trojan:PowerShell/Powersploit. โ file:_C:\AtomicRedTeam\atomic- โ MSEDGEWIN10\IEUser โ
โ โ โ โ โ โ M โ red-team-master\atomics\T1056\ โ โ
โ โ โ โ โ โ โ Get-Keystrokes.ps1 โ โ
โโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโผโโโโโโโโโโโโผโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโค
โ 2019-07-18 20:53:31 โ โฃ Windows Defender โ 1117 โ 106 โ MSEDGEWIN10 โ Trojan:XML/Exeselrun.gen!A โ file:_C:\AtomicRedTeam\atomic- โ MSEDGEWIN10\IEUser โ
โ โ โ โ โ โ โ red-team-master\atomics\T1086\ โ โ
โ โ โ โ โ โ โ payloads\test.xsl โ โ
โโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโ
[+] Group: Log Tampering
โโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโฌโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโ
โ timestamp โ detections โ Event ID โ Record ID โ Computer โ User โ
โโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโผโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโค
โ 2019-01-20 07:00:50 โ โฃ Security Audit Logs Cleared โ 1102 โ 32853 โ WIN-77LTAPHIQ1R.example.corp โ Administrator โ
โโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโดโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโ
[+] Group: Sigma
โโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโฌโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ timestamp โ detections โ count โ Event.System.Provider โ Event ID โ Record ID โ Computer โ Event Data โ
โโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโผโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ 2019-04-29 20:59:14 โ โฃ Malicious Named Pipe โ 1 โ Microsoft-Windows-Sysmon โ 18 โ 8046 โ IEWIN7 โ --- โ
โ โ โ โ โ โ โ โ Image: System โ
โ โ โ โ โ โ โ โ PipeName: "\\46a676ab7f179e511 โ
โ โ โ โ โ โ โ โ e30dd2dc41bd388" โ
โ โ โ โ โ โ โ โ ProcessGuid: 365ABB72-D9C4-5CC โ
โ โ โ โ โ โ โ โ 7-0000-0010EA030000 โ
โ โ โ โ โ โ โ โ ProcessId: 4 โ
โ โ โ โ โ โ โ โ RuleName: "" โ
โ โ โ โ โ โ โ โ UtcTime: "2019-04-29 20:59:14. โ
โ โ โ โ โ โ โ โ 430" โ
โโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโผโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ 2019-04-30 20:26:51 โ โฃ CobaltStrike Service โ 1 โ Microsoft-Windows-Sysmon โ 13 โ 9806 โ IEWIN7 โ --- โ
โ โ Installations in Registry โ โ โ โ โ โ Details: "%%COMSPEC%% /b /c st โ
โ โ โ โ โ โ โ โ art /b /min powershell.exe -no โ
โ โ โ โ โ โ โ โ p -w hidden -noni -c \"if([Int โ
โ โ โ โ โ โ โ โ Ptr]::Size -eq 4){$b='powershe โ
โ โ โ โ โ โ โ โ ll.exe'}else{$b=$env:windir+'\ โ
โ โ โ โ โ โ โ โ \syswow64\\WindowsPowerShell\\ โ
โ โ โ โ โ โ โ โ v1.0\\powershell.exe'};$s=New- โ
โ โ โ โ โ โ โ โ Object System.Diagnostics.Proc โ
โ โ โ โ โ โ โ โ essStartInfo;$s.FileName=$b;$s โ
โ โ โ โ โ โ โ โ .Arguments='-noni -nop -w hidd โ
โ โ โ โ โ โ โ โ en -c &([scriptblock]::create( โ
โ โ โ โ โ โ โ โ (New-Object IO.StreamReader(Ne โ
โ โ โ โ โ โ โ โ w-Object IO.Compression.GzipSt โ
โ โ โ โ โ โ โ โ ream((New-Object IO.MemoryStre โ
โ โ โ โ โ โ โ โ am(,[Convert]::FromBase64Strin โ
โ โ โ โ โ โ โ โ g(''H4sIAIuvyFwCA7VW+2/aSBD+OZ โ
โ โ โ โ โ โ โ โ H6P1... โ
โ โ โ โ โ โ โ โ (use --full to show all content) โ
โ โ โ โ โ โ โ โ EventType: SetValue โ
โ โ โ โ โ โ โ โ Image: "C:\\Windows\\system32\ โ
โ โ โ โ โ โ โ โ \services.exe" โ
โ โ โ โ โ โ โ โ ProcessGuid: 365ABB72-2586-5CC โ
โ โ โ โ โ โ โ โ 9-0000-0010DC530000 โ
โ โ โ โ โ โ โ โ ProcessId: 460 โ
โ โ โ โ โ โ โ โ RuleName: "" โ
โ โ โ โ โ โ โ โ TargetObject: "HKLM\\System\\C โ
โ โ โ โ โ โ โ โ urrentControlSet\\services\\he โ
โ โ โ โ โ โ โ โ llo\\ImagePath" โ
โ โ โ โ โ โ โ โ UtcTime: "2019-04-30 20:26:51. โ
โ โ โ โ โ โ โ โ 934" โ
โโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโผโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ 2019-05-12 12:52:43 โ โฃ Meterpreter or Cobalt โ 1 โ Service Control Manager โ 7045 โ 10446 โ IEWIN7 โ --- โ
โ โ Strike Getsystem Service โ โ โ โ โ โ AccountName: LocalSystem โ
โ โ Installation โ โ โ โ โ โ ImagePath: "%COMSPEC% /c ping โ
โ โ โ โ โ โ โ โ -n 1 127.0.0.1 >nul && echo 'W โ
โ โ โ โ โ โ โ โ inPwnage' > \\\\.\\pipe\\WinPw โ
โ โ โ โ โ โ โ โ nagePipe" โ
โ โ โ โ โ โ โ โ ServiceName: WinPwnage โ
โ โ โ โ โ โ โ โ ServiceType: user mode service โ
โ โ โ โ โ โ โ โ StartType: demand start โ
โโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโผโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ 2019-06-21 07:35:37 โ โฃ Dumpert Process Dumper โ 1 โ Microsoft-Windows-Sysmon โ 11 โ 238375 โ alice.insecurebank.local โ --- โ
โ โ โ โ โ โ โ โ CreationUtcTime: "2019-06-21 0 โ
โ โ โ โ โ โ โ โ 6:53:03.227" โ
โ โ โ โ โ โ โ โ Image: "C:\\Users\\administrat โ
โ โ โ โ โ โ โ โ or\\Desktop\\x64\\Outflank-Dum โ
โ โ โ โ โ โ โ โ pert.exe" โ
โ โ โ โ โ โ โ โ ProcessGuid: ECAD0485-88C9-5D0 โ
โ โ โ โ โ โ โ โ C-0000-0010348C1D00 โ
โ โ โ โ โ โ โ โ ProcessId: 3572 โ
โ โ โ โ โ โ โ โ RuleName: "" โ
โ โ โ โ โ โ โ โ TargetFilename: "C:\\Windows\\ โ
โ โ โ โ โ โ โ โ Temp\\dumpert.dmp" โ
โ โ โ โ โ โ โ โ UtcTime: "2019-06-21 07:35:37. โ
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Table Of Contents
Extended information can be found in the Wiki for this tool: https://github.com/countercept/chainsaw/wiki
Why Chainsaw?
Windows event logs provide a rich source of forensic information for threat hunting and incident response investigations. Unfortunately, processing and searching through event logs can be a slow and time-consuming process, and in most cases requires the overhead of surrounding infrastructure โ such as an ELK stack or Splunk instance โ to hunt efficiently through the log data and apply detection logic. This overhead often means that blue teams are unable to quickly triage Windows event logs to provide the direction and conclusions required to progress their investigations.
At WithSecure Countercept, we ingest a wide range of telemetry sources from endpoints via our EDR agent to provide our managed detection and response service. However, there are circumstances where we need to quickly analyze event log data that hasnโt been captured by our EDR, a common example being incident response investigations on an estate where our EDR wasnโt installed at the time of the compromise. Chainsaw was created to provide our threat hunters and incident response consultants with a tool to perform rapid triage of Windows event logs in these circumstances.
At the time of writing, there are very few open-source, standalone tools that provide a simple and fast method of triaging Windows event logs, identifying interesting elements within the logs and applying a detection logic rule format (such as Sigma) to detect signs of malicious activity. In our testing, the tools that did exist struggled to efficiently apply detection logic to large volumes of event logs making them unsuitable for scenarios where quick triage is required.
Hunting Logic
Sigma Rule Matching
Using the --sigma and --mapping parameters you can specify a directory containing a subset of SIGMA detection rules (or just the entire SIGMA git repo) and chainsaw will automatically load, convert and run these rules against the provided event logs. The mapping file tells chainsaw which fields in the event logs to use for rule matching. By default, Chainsaw supports a wide range of Event Log types, including but not limited to:
| Event Type | Event ID |
|---|---|
| Process Creation (Sysmon) | 1 |
| Network Connections (Sysmon) | 3 |
| Image Loads (Sysmon) | 7 |
| File Creation (Sysmon) | 11 |
| Registry Events (Sysmon) | 13 |
| Powershell Script Blocks | 4104 |
| Process Creation | 4688 |
| Scheduled Task Creation | 4698 |
| Service Creation | 7045 |
See the mapping file for the full list of fields that are used for rule detection, and feel free to extend it to your needs.
Chainsaw Detection Rules
In addition to supporting sigma rules, Chainsaw also supports a custom rule format. In the repository you will find a rules directory that contains various Chainsaw rules that allows users to:
- Extract and parse Windows Defender, F-Secure, Sophos, and Kaspersky AV alerts
- Detect key event logs being cleared, or the event log service being stopped
- Users being created or added to sensitive user groups
- Remote Logins (Service, RDP, Network etc.) events. This helps hunters to identify sources of lateral movement
- Brute-force of local user accounts
Quick Start Guide
Downloading and Running
With the release of Chainsaw v2, we decided to no longer include the Sigma Rules and EVTX-Attack-Samples repositories as Chainsaw submodules. We recommend that you clone these repositories separately to ensure you have the latest versions.
If you still need an all-in-one package containing the Chainsaw binary, Sigma rules and example Event logs, you can download it from the releases section of this Github repo. In this releases section you will also find pre-compiled binary-only versions of Chainsaw for various platforms and architectures.
If you want to compile Chainsaw yourself, you can clone the Chainsaw repo:
git clone https://github.com/countercept/chainsaw.git
and compile the code yourself by running: cargo build --release. Once the build has finished, you will find a copy of the compiled binary in the target/release folder.
Make sure to build with the --release flag as this will ensure significantly faster execution time.
If you want to quickly see what Chainsaw looks like when it runs, you can clone the Sigma Rules and EVTX-Attack-Samples repositories:
git clone https://github.com/SigmaHQ/sigma
git clone https://github.com/sbousseaden/EVTX-ATTACK-SAMPLES.git
and then run Chainsaw with the parameters below:
./chainsaw hunt EVTX-ATTACK-SAMPLES/ -s sigma/ --mapping mappings/sigma-event-logs-all.yml
EDR and AV Warnings
When downloading and running chainsaw you may find that your local EDR / AntiVirus engine detects Chainsaw as malicious. You can see examples of this in the following Github issues: Example1, Example2.
These warnings are typically due to the example event logs and/or Sigma rules which contain references to malicious strings (e.g. "mimikatz"). We have also seen instances where the Chainsaw binary has been detected by a small subset of Anti-Virus engines likely due to some form of heuristics detection.
What Changed In Chainsaw v2?
In July 2022 we released version 2 of Chainsaw which is a major overhaul of how Chainsaw operates. Chainsaw v2 contains a number of significant improvements, including the following list of highlights:
- An improved approach to mapping Sigma rules which results in a significant increase in the number of supported Chainsaw rules, and Event Log event types.
- Improved CLI output which shows a snapshot of all Event Data for event logs containing detections.
- Support for loading and parsing Event Logs in both JSON and XML format.
- Cleaner and simpler command line arguments for the Hunt and Search features.
- Additional optional output information, such as Rule Author, Rule Status, Rule Level etc.
- The ability to filter loaded rules by status, kind, and severity level.
- Inbuilt Chainsaw Detection rules have been broken out into dedicated Chainsaw rule files
- A clean and rewrite of Chainsaw's code to improve readability and to reduce the overhead for community contributions.
If you still wish to use the version 1 of Chainsaw, you can find compiled binaries in the releases section, or you can access the source code in the v1.x.x branch. Please note that Chainsaw v1 is no longer being maintained, and all users should look to move to Chainsaw v2.
A massive thank you to @AlexKornitzer who managed to convert Chainsaw v1's "Christmas Project" codebase into a polished product in v2.
Examples
Searching
USAGE:
chainsaw search [FLAGS] [OPTIONS] <pattern> [--] [path]...
FLAGS:
-h, --help Prints help information
-i, --ignore-case Ignore the case when searching patterns
--json Print the output in json format
--load-unknown Allow chainsaw to try and load files it cannot identify
--local Output the timestamp using the local machine's timestamp
-q Supress informational output
--skip-errors Continue to search when an error is encountered
-V, --version Prints version information
OPTIONS:
--extension <extension>... Only search through files with the provided extension
--from <from> The timestamp to search from. Drops any documents older than the value provided
-o, --output <output> The path to output results to
-e, --regex <pattern>... A string or regular expression pattern to search for
-t, --tau <tau>... Tau expressions to search with. e.g. 'Event.System.EventID: =4104'
--timestamp <timestamp> The field that contains the timestamp
--timezone <timezone> Output the timestamp using the timezone provided
--to <to> The timestamp to search up to. Drops any documents newer than the value provided
ARGS:
<pattern> A string or regular expression pattern to search for. Not used when -e or -t is specified
<path>... The paths containing event logs to load and hunt through
Command Examples
Search all .evtx files for the case-insensitive string "mimikatz"
./chainsaw search mimikatz -i evtx_attack_samples/
*Search all .evtx files for powershell script block events (Event ID 4014)
./chainsaw search -t 'Event.System.EventID: =4104' evtx_attack_samples/
Search a specific evtx log for logon events, with a matching regex pattern, output in JSON format
./chainsaw search -e "DC[0-9].insecurebank.local" evtx_attack_samples --json
Hunting
USAGE:
chainsaw hunt [FLAGS] [OPTIONS] [--] [path]...
FLAGS:
--csv Print the output in csv format
--full Print the full values for the tabular output
-h, --help Prints help information
--json Print the output in json format
--load-unknown Allow chainsaw to try and load files it cannot identify
--local Output the timestamp using the local machine's timestamp
--log Print the output in log like format
--metadata Display additional metadata in the tablar output
-q Supress informational output
--skip-errors Continue to hunt when an error is encountered
-V, --version Prints version information
OPTIONS:
--column-width <column-width> Set the column width for the tabular output
--extension <extension>... Only hunt through files with the provided extension
--from <from> The timestamp to hunt from. Drops any documents older than the value provided
--kind <kind>... Restrict loaded rules to specified kinds
--level <level>... Restrict loaded rules to specified levels
-m, --mapping <mapping>... A mapping file to tell Chainsaw how to use third-party rules
-o, --output <output> A path to output results to
-r, --rule <rule>... A path containing additional rules to hunt with
-s, --sigma <sigma>... A path containing Sigma rules to hunt with
--status <status>... Restrict loaded rules to specified statuses
--timezone <timezone> Output the timestamp using the timezone provided
--to <to> The timestamp to hunt up to. Drops any documents newer than the value provided
ARGS:
<rules> The path to a collection of rules to use for hunting
<path>... The paths containing event logs to load and hunt through
Command Examples
Hunt through all evtx files using Sigma rules for detection logic
./chainsaw hunt evtx_attack_samples/ -s sigma/ --mapping mappings/sigma-event-logs-all.yml
Hunt through all evtx files using Sigma rules and Chainsaw rules for detection logic and output in CSV format to the results folder
./chainsaw hunt evtx_attack_samples/ -s sigma/ --mapping mappings/sigma-event-logs-all.yml -r rules/ --csv --output results
Hunt through all evtx files using Sigma rules for detection logic, only search between specific timestamps, and output the results in JSON format
./chainsaw hunt evtx_attack_samples/ -s sigma/ --mapping mappings/sigma-event-logs-all.yml --from "2019-03-17T19:09:39" --to "2019-03-17T19:09:50" --json
Shimcache Analysis
COMMAND:
analyse shimcache Create an execution timeline from the shimcache with optional amcache enrichments
USAGE:
chainsaw analyse shimcache [OPTIONS] <SHIMCACHE>
ARGUMENTS:
<SHIMCACHE> The path to the shimcache artifact (SYSTEM registry file)
OPTIONS:
-e, --regex <pattern> A string or regular expression for detecting shimcache entries whose timestamp matches their insertion time
-r, --regexfile <REGEX_FILE> The path to a newline delimited file containing regex patterns for detecting shimcache entries whose timestamp matches their insertion time
-o, --output <OUTPUT> The path to output the result csv file
-a, --amcache <AMCACHE> The path to the amcache artifact (Amcache.hve) for timeline enrichment
-p, --tspair Enable near timestamp pair detection between shimcache and amcache for finding additional insertion timestamps for shimcache entries
-h, --help Print help
- Example pattern file for the
--regexfileparameter is included in analysis/shimcache_patterns.txt. - Regex patterns are matched on paths in shimcache entires converted to lowercase.
Command Examples
Analyse a shimcache artifact with the provided regex patterns, and use amcache enrichment with timestamp near pair detection enabled. Output to a csv file.
./chainsaw analyse shimcache ./SYSTEM --regexfile ./analysis/shimcache_patterns.txt --amcache ./Amcache.hve --tspair --output ./output.csv
Analyse a shimcache artifact with the provided regex patterns (without amcache enrichment). Output to the terminal.
./chainsaw analyse shimcache ./SYSTEM --regexfile ./analysis/shimcache_patterns.txt
Acknowledgements
- EVTX-ATTACK-SAMPLES by @SBousseaden
- Sigma detection rules
- EVTX parser library by @OBenamram
- TAU Engine Library by @AlexKornitzer
- Shimcache analysis feature developed as a part of CC-Driver project, funded by the European Unionโs Horizon 2020 Research and Innovation Programme under Grant Agreement No. 883543