Detection Engineering - Sigma, YARA, ATT&CK

    1

    Author, test, and tune Sigma and YARA detection rules and map them to MITRE ATT&CK, defensive, blue-team.

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    Detection Engineering - Sigma, YARA, ATT&CK

    Example session with this skill installed

    Create a Sigma rule to detect LSASS memory dumping via procdump.exe, mapping it to MITRE ATT&CK and providing tuning advice for common administrative noise.

    • Read your context and instructions
    • Compiled the detection engineering

    I have authored a Sigma rule targeting LSASS memory dumping behaviors commonly associated with credential access. This rule specifically looks for procdump.exe interacting with the LSASS process and includes metadata for MITRE ATT&CK mapping.

    Sigma Detection: LSASS Memory Dumping via Procdump

    title: LSASS Memory Dumping via Procdump
id: 5b4321a9-3d1e-4f5c-8d12-e8901234abcd
status: experimental
description: Detects the execution of Procdump to dump LSASS memory for credential theft.
references:
    - https://attack.mitre.org/techniques/T1003/001/
author: d3vn0mi
date: 2023/10/27
tags:
    - attack.credential_access
    - attack.t1003.001
logsource:
    category: process_creation
    product: windows
detection:
    selection_img:
        - Image|endswith: '\procdump.exe'
        - OriginalFileName: 'procdump'
    selection_cli:
        CommandLine|contains:
            - ' -ma '
            - ' -lsass '
            - ' lsass'
    condition: all of selection_*
falsepositives:
    - Legitimate administrative troubleshooting (rare for LSASS)
    - Antivirus or EDR self-protection modules
level: high
    ComponentDetail
    Log SourceWindows Process Creation (Event ID 1 or 4688)
    MITRE ATT&CKT1003.001 (OS Credential Dumping: LSASS Memory)
    Signal StrengthHigh (Procdump targeting LSASS is rarely benign)

    Tuning & False Positive Guidance:
    *

    Filter Known Paths: If your IT team uses Procdump from a specific central tool share, add a filter for ParentImage to reduce noise.

    • OriginalFileName: The rule uses OriginalFileName to catch attackers who rename the procdump.exe binary.

    Exclusion Rationale: Document any exclusions by hostname if specific dev boxes require memory profiling for debugging.

    Next steps

    1. Replay Sysmon Event ID 1 logs from a controlled test environment using procdump.exe -ma lsass.exe.
    2. Convert this rule to your specific SIEM backend (e.g., sigmac -t splunk rule.yml).
    3. Verify if your EDR already generates a proprietary alert for this to avoid duplicate ticket volume.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Author Sigma rules for log-based detection across Splunk, Elastic, and Sentinel.Create YARA rules for file-based malware scanning and memory forensics.Map detection rulesets to MITRE ATT&CK for defensive coverage analysis.Tune out false positives in noisy SIEM alerts using high-signal conditions.

    About this skill

    A detection engineer in a skill. It writes valid Sigma rules for SIEM and log platforms and YARA rules for file and memory scanning, working from your telemetry, a threat behavior you want to catch, or a sample, and returns deployable rule text plus a tuning and coverage plan. Every detection is mapped to MITRE ATT&CK so you can see what you cover and where the gaps are.

    Built for blue teams: SOC analysts, MSSP detection engineers, and internal defenders. Use it to author a new rule, review or tune an existing one, cut false positives without hollowing out coverage, or map a whole ruleset to ATT&CK for a coverage review. It works within a detection-as-code discipline that keeps rules tested before they reach production.

    Defensive by design, it builds detections, not attacks, and will not help evade, bypass, or disable detections or write malware. It is advisory: you validate and deploy every rule in your own environment against both true-positive and false-positive data before production. Sigma schema, YARA versions, and ATT&CK technique IDs change over time, so rules are framed verify-current, and a detection is always treated as a hypothesis with real precision and recall trade-offs, never a complete-coverage promise.

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