1200kmSECURITY RESEARCH
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T1003 OS Credential Dumping — Attack Simulation

Adversaries may attempt to dump credentials to obtain account login and credential material, normally in the form of a hash or a clear text password. Credentials can be obtained from OS caches, memory, or structures. Credentials can then be used to perform Lateral Movement and access restricted information. Several of the tools mentioned in associated sub-techniques may be used by both adversaries and professional security testers. Additional…

Complete technique description

Adversaries may attempt to dump credentials to obtain account login and credential material, normally in the form of a hash or a clear text password. Credentials can be obtained from OS caches, memory, or structures.[Brining MimiKatz to Unix] Credentials can then be used to perform Lateral Movement and access restricted information.

Several of the tools mentioned in associated sub-techniques may be used by both adversaries and professional security testers. Additional custom tools likely exist as well.

Official technique definition · Open in the interactive matrix

Parent and sub-techniques

Related pages are navigation context. Their tools, rules and lab results are not automatically inherited.

Detection telemetry and configuration

These contracts are selected through exact technique-to-data-component relationships or explicitly labelled planning overrides. Configure a collector at the relevant observation point; a telemetry name alone is not coverage.

Active Directory Object Access · source-mapped

DC0071 collection page — Enable Audit Directory Service Access and scoped object SACLs; interpret access masks and property GUIDs in their directory context.

Providers and collection configuration

  • Use a lab-only GPO under Computer Configuration → Windows Settings → Security Settings → Advanced Audit Policy Configuration. Enable the specific subcategory named below.
  • For object-level auditing, configure a narrow system access control list (SACL) on the test object in addition to policy. Do not audit an entire production directory by default.
  • Forward Security events from the responsible host or controller; retain subject and target identities, object identifiers, result and original XML. Confirm effective policy with auditpol /get /category:*.

Required normalized fields: object_dn, access, actor.

Illustrative collection event

Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.

{
  "schema": "1200km.telemetry.example.v1",
  "synthetic": true,
  "timestamp": "2026-09-27T12:00:00Z",
  "telemetry_id": "DC0071",
  "collector": "illustrative-lab-collector",
  "observation": {
    "object_dn": "CN=LabUser,OU=Lab,DC=example,DC=test",
    "access": "read_property",
    "actor": "LAB\\analyst"
  }
}

Visibility limits: A policy checkbox alone does not guarantee an event. Host role, SACL, success/failure selection and audit policy precedence matter. Directory changes may arrive as multiple records.

File Access · source-mapped

DC0055 collection page — Enable Audit File System plus a narrow SACL on a lab directory; on Linux select path/syscall rules and join associated Audit records.

Providers and collection configuration

  • Use a lab-only GPO under Computer Configuration → Windows Settings → Security Settings → Advanced Audit Policy Configuration. Enable the specific subcategory named below.
  • For object-level auditing, configure a narrow system access control list (SACL) on the test object in addition to policy. Do not audit an entire production directory by default.
  • Forward Security events from the responsible host or controller; retain subject and target identities, object identifiers, result and original XML. Confirm effective policy with auditpol /get /category:*.

Required normalized fields: path, access, actor, result.

Illustrative collection event

Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.

{
  "schema": "1200km.telemetry.example.v1",
  "synthetic": true,
  "timestamp": "2026-09-27T12:00:00Z",
  "telemetry_id": "DC0055",
  "collector": "illustrative-lab-collector",
  "observation": {
    "path": "C:\\Lab\\demo.txt",
    "access": "read",
    "actor": "LAB\\analyst",
    "result": "success"
  }
}

Visibility limits: A policy checkbox alone does not guarantee an event. Host role, SACL, success/failure selection and audit policy precedence matter. Directory changes may arrive as multiple records.

Process Access · source-mapped

DC0035 collection page — Scope Sysmon ProcessAccess (10) to the selected source/target processes and access rights; retain call-trace fields where emitted.

Providers and collection configuration

  • Microsoft Sysmon: Windows event-based collection; enable the event types needed below.
  • Linux Audit: Linux alternative for supported system-call and file events; different semantics and fields.
  • Apple Endpoint Security clients: macOS alternative where the subscribed event exists; requires an entitled, approved client, not an iOS collector.
  • On a disposable Windows host, review the installed Sysmon schema and current configuration; merge scoped event filters into the existing policy rather than replacing it.
  • Forward Microsoft-Windows-Sysmon/Operational to the lab collector. Preserve event ID, timestamp, computer, process identifiers and the original event.
  • For Linux or macOS, select the equivalent sensor separately and test its emitted fields; a Windows event ID does not transfer across platforms.

Required normalized fields: source_process_id, target_process_id, granted_access, action.

Illustrative collection event

Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.

{
  "schema": "1200km.telemetry.example.v1",
  "synthetic": true,
  "timestamp": "2026-09-27T12:00:00Z",
  "telemetry_id": "DC0035",
  "collector": "illustrative-lab-collector",
  "observation": {
    "source_process_id": 4200,
    "target_process_id": 4300,
    "granted_access": "0x1000",
    "action": "open_process"
  }
}

Visibility limits: Event filtering and sensor versions change coverage. High-volume image-load and process-access collection needs tuning; endpoint events alone do not establish intent.

Process Creation · source-mapped

DC0032 collection page — Collect Sysmon ProcessCreate (1); preserve ProcessGuid and parent identifiers. Security 4688 is an alternative with separate audit/command-line settings.

Providers and collection configuration

  • Microsoft Sysmon: Windows event-based collection; enable the event types needed below.
  • Linux Audit: Linux alternative for supported system-call and file events; different semantics and fields.
  • Apple Endpoint Security clients: macOS alternative where the subscribed event exists; requires an entitled, approved client, not an iOS collector.
  • On a disposable Windows host, review the installed Sysmon schema and current configuration; merge scoped event filters into the existing policy rather than replacing it.
  • Forward Microsoft-Windows-Sysmon/Operational to the lab collector. Preserve event ID, timestamp, computer, process identifiers and the original event.
  • For Linux or macOS, select the equivalent sensor separately and test its emitted fields; a Windows event ID does not transfer across platforms.

Required normalized fields: process_guid, image, parent_image, command_line, user.

<EventFiltering>
  <ProcessCreate onmatch="include">
    <Image condition="is">C:\Windows\System32\whoami.exe</Image>
  </ProcessCreate>
</EventFiltering>

This fragment only selects the named process. It is not a complete production policy. Inspect the installed schema with sysmon64 -s; preserve existing rules, then apply the reviewed complete configuration with sysmon64 -c <configuration-file>.

Illustrative collection event

Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.

{
  "schema": "1200km.telemetry.example.v1",
  "synthetic": true,
  "timestamp": "2026-09-27T12:00:00Z",
  "telemetry_id": "DC0032",
  "collector": "illustrative-lab-collector",
  "observation": {
    "process_guid": "lab-process-001",
    "image": "C:\\Windows\\System32\\whoami.exe",
    "parent_image": "C:\\Windows\\System32\\cmd.exe",
    "command_line": "whoami",
    "user": "LAB\\analyst"
  }
}

Visibility limits: Event filtering and sensor versions change coverage. High-volume image-load and process-access collection needs tuning; endpoint events alone do not establish intent.

Process Metadata · source-mapped

DC0034 collection page — Collect read-only process inventory with PID plus start time/stable identity, command line and collection time; restrict access to potentially sensitive arguments.

Providers and collection configuration

  • osquery: Scheduled host-state queries; supported tables and privileges vary by OS. Select a table that actually exposes the required object.
  • Linux Audit plus inventory snapshots: Events explain changes; snapshots describe state at collection time.
  • Define the inventory query, allowed host set, interval and least-privileged reader. Store a stable asset ID, observation time and collector version.
  • Keep successive snapshots and calculate additions, removals and changed attributes. Pair state changes with audit events when available.
  • Export collector health and missed-poll counts so a missing snapshot is not misclassified as a missing asset.

Required normalized fields: process_id, image, owner_uid, started_at.

Illustrative collection event

Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.

{
  "schema": "1200km.telemetry.example.v1",
  "synthetic": true,
  "timestamp": "2026-09-27T12:00:00Z",
  "telemetry_id": "DC0034",
  "collector": "illustrative-lab-collector",
  "observation": {
    "process_id": 4200,
    "image": "/usr/bin/sleep",
    "owner_uid": 1000,
    "started_at": "2026-09-27T11:59:00Z"
  }
}

Visibility limits: Snapshots miss short-lived objects and do not identify who caused a change. A generic inventory agent is not guaranteed to expose firmware or kernel-level details.

Detection rules and analytic guidance

Open the dedicated detection workspace · Existing query engineering

DET0234 Credential Dumping via Sensitive Memory and Registry Access Correlation

MITRE detection strategy

AN0648 Analytic 0648

Processes accessing LSASS memory or SAM registry hives outside of trusted security tools, often followed by file creation or lateral movement. Detects unauthorized access to sensitive OS subsystems for credential extraction.

Platforms: Windows.

AN0649 Analytic 0649

Processes opening /proc/*/mem or /proc/*/maps targeting credential-storing services like sshd or login. Behavior often includes high privilege escalation and memory inspection tools such as gcore or gdb.

Platforms: Linux.

AN0650 Analytic 0650

Unsigned processes accessing system memory or launching known credential scraping tools (e.g., osascript, dylib injections) to access the Keychain or sensitive memory regions.

Platforms: macOS.

  • Process Metadata — macos:unifiedlog; channel Code Execution & Entitlement Access.
  • File Access — macos:keychain; channel Access to Keychain DB or system.keychain.
  • Process Creation — macos:osquery; channel Invocation of osascript or dylib injection.
Source rule directory and observation requirements

33 exact-tagged source rules. A source tag is a discovery aid, not a relevance verdict. Check the observation point and actual condition of each rule.

Before treating a rule as coverage

  1. Read the actual condition and logsource; identify attacker-side, victim-side or third-party visibility.
  2. Map native sensor fields, parse times and identities, then compile for the selected backend.
  3. Replay a behavior-positive case, a normal control, an authorized look-alike and a missing-telemetry case.
  4. Record matches and misses with rule version and source events. No match is inconclusive when required telemetry is absent.

Anomaly-based detection

Anomaly engineering worksheet

Start from the exact analytic above. The collection-specific lenses below are analyst recommendations; they do not assert that an arbitrary statistical deviation detects this technique.

  • Windows and directory audit: Per principal, host and object: unusual access/request rates, new principal-object relationships, and changes outside approved administration windows. Control for service accounts and scheduled directory maintenance.
  • Endpoint activity: Per host role and user: rare process/object combinations, bursts of object access or modification, and ordered parent/action sequences. Compare maintenance windows and signed software rollout activity.
  • Host state and inventory: Compare authorized state snapshots: first-seen drivers/services/modules, unexpected configuration drift and integrity changes. Record collection cadence; absence in a sample is not evidence of deletion.
  1. Define an entity/peer group and feature; exclude the evaluation period from baseline training.
  2. Use representative normal and maintenance activity. Do not invent a production threshold from a synthetic example.
  3. Evaluate held-out behavior-positive and benign cases; measure false positives, misses and telemetry loss separately.
  4. Keep abnormality separate from maliciousness. Correlate with the behavior-specific source evidence.

Anomaly Detection Atlas · Baseline, validation and blind spots

Attack tools and documented software

No reviewed lab-tool association is selected for this exact technique. This is a curation gap, not a statement that no tool can implement the behavior.

Software observed in source procedures

These are exact ATT&CK software-use relationships, including malware. They provide behavior context, not recommendations to download or execute malware. No safety or detector claim is inherited.

7 source-documented software associations

Simulation design and documented procedures

Atomic evidence: 7 compatible documented candidates. Live lab status: not run for these imported procedures.

Use disposable lab hosts and test accounts, explicit target allowlists, a clean snapshot, bounded egress and a restore plan. Review every candidate and dependency before any execution.

Send NTLM Hash with RPC Test Connection

RpcPing command can be used to send an RPC test connection to the target server (-s) and force the NTLM hash to be sent in the process.
Ref: https://twitter.com/vysecurity/status/974806438316072960

Pinned Atomic procedure · 0b207037-813c-4444-ac3f-b597cf280a67 · windows · powershell.

Elevation: not declared required. Cleanup: not declared. This is source documentation, not an execution approval.

Source-defined inputs

  • custom_port: Specify the custom port number (type integer; source default 1234)
  • server_ip: Specify the server IP address. If not specified, the loop back IP will be used (type string; source default 127.0.0.1)

Review the upstream command, dependencies and cleanup at the source link. Source defaults may refer to real infrastructure or destructive actions; they are not authorized targets. No automatic install, prerequisite download or command execution is provided.

Retrieve Microsoft IIS Service Account Credentials Using AppCmd (using config)

AppCmd.exe is a command line utility which is used for managing an IIS web server. The config command within the tool reveals the service account credentials configured for the webserver. An adversary may use these credentials for other malicious purposes. Reference

Pinned Atomic procedure · 42510244-5019-48fa-a0e5-66c3b76e6049 · windows · powershell.

Elevation: required. Cleanup: not declared. This is source documentation, not an execution approval.

No input arguments declared.

Review the upstream command, dependencies and cleanup at the source link. Source defaults may refer to real infrastructure or destructive actions; they are not authorized targets. No automatic install, prerequisite download or command execution is provided.

1 prerequisite definitions:

  • IIS must be installed prior to running the test
Retrieve Microsoft IIS Service Account Credentials Using AppCmd (using list)

AppCmd.exe is a command line utility which is used for managing an IIS web server. The list command within the tool reveals the service account credentials configured for the webserver. An adversary may use these credentials for other malicious purposes. Reference

Pinned Atomic procedure · 6c7a4fd3-5b0b-4b30-a93e-39411b25d889 · windows · powershell.

Elevation: required. Cleanup: not declared. This is source documentation, not an execution approval.

No input arguments declared.

Review the upstream command, dependencies and cleanup at the source link. Source defaults may refer to real infrastructure or destructive actions; they are not authorized targets. No automatic install, prerequisite download or command execution is provided.

1 prerequisite definitions:

  • IIS must be installed prior to running the test
Dump Credential Manager using keymgr.dll and rundll32.exe

This test executes the exported function `KRShowKeyMgr` located in `keymgr.dll` using `rundll32.exe`. It opens a window that allows to export stored Windows credentials from the credential manager to a file (`.crd` by default). The file can then be retrieved and imported on an attacker-controlled computer to list the credentials get the passwords. The only limitation is that it requires a CTRL+ALT+DELETE input from the attacker, which can be achieve multiple ways (e.g. a custom implant with remote control capabilities, enabling RDP, etc.).
Reference: https://twitter.com/0gtweet/status/1415671356239216653

Pinned Atomic procedure · 84113186-ed3c-4d0d-8a3c-8980c86c1f4a · windows · powershell.

Elevation: not declared required. Cleanup: not declared. This is source documentation, not an execution approval.

No input arguments declared.

Review the upstream command, dependencies and cleanup at the source link. Source defaults may refer to real infrastructure or destructive actions; they are not authorized targets. No automatic install, prerequisite download or command execution is provided.

Gsecdump

Dump credentials from memory using Gsecdump.

Upon successful execution, you should see domain\username's followed by two 32 character hashes.

If you see output that says "compat: error: failed to create child process", execution was likely blocked by Anti-Virus.
You will receive only error output if you do not run this test from an elevated context (run as administrator)

If you see a message saying "The system cannot find the path specified", try using the get-prereq_commands to download and install Gsecdump first.

Pinned Atomic procedure · 96345bfc-8ae7-4b6a-80b7-223200f24ef9 · windows · command_prompt.

Elevation: required. Cleanup: not declared. This is source documentation, not an execution approval.

Source-defined inputs

  • gsecdump_exe: Path to the Gsecdump executable (type path; source default PathToAtomicsFolder\..\ExternalPayloads\gsecdump.exe)
  • gsecdump_bin_hash: File hash of the Gsecdump binary file (type string; source default 94CAE63DCBABB71C5DD43F55FD09CAEFFDCD7628A02A112FB3CBA36698EF72BC)
  • gsecdump_url: Path to download Gsecdump binary file (type url; source default https://web.archive.org/web/20150606043951if_/http://www.truesec.se/Upload/Sakerhet/Tools/gsecdump-v2b5.exe)

Review the upstream command, dependencies and cleanup at the source link. Source defaults may refer to real infrastructure or destructive actions; they are not authorized targets. No automatic install, prerequisite download or command execution is provided.

1 prerequisite definitions:

  • Gsecdump must exist on disk at specified location (#{gsecdump_exe})
Credential Dumping with NPPSpy

Changes ProviderOrder Registry Key Parameter and creates Key for NPPSpy.
After user's logging in cleartext password is saved in C:\NPPSpy.txt.
Clean up deletes the files and reverses Registry changes.
NPPSpy Source: https://github.com/gtworek/PSBits/tree/master/PasswordStealing/NPPSpy

Pinned Atomic procedure · 9e2173c0-ba26-4cdf-b0ed-8c54b27e3ad6 · windows · powershell.

Elevation: required. Cleanup: defined upstream; review required. This is source documentation, not an execution approval.

No input arguments declared.

Review the upstream command, dependencies and cleanup at the source link. Source defaults may refer to real infrastructure or destructive actions; they are not authorized targets. No automatic install, prerequisite download or command execution is provided.

1 prerequisite definitions:

  • NPPSpy.dll must be available in ExternalPayloads directory
Dump svchost.exe to gather RDP credentials

The svchost.exe contains the RDP plain-text credentials.
Source: https://www.n00py.io/2021/05/dumping-plaintext-rdp-credentials-from-svchost-exe/

Upon successful execution, you should see the following file created $env:TEMP\svchost-exe.dmp.

Pinned Atomic procedure · d400090a-d8ca-4be0-982e-c70598a23de9 · windows · powershell.

Elevation: required. Cleanup: defined upstream; review required. This is source documentation, not an execution approval.

No input arguments declared.

Review the upstream command, dependencies and cleanup at the source link. Source defaults may refer to real infrastructure or destructive actions; they are not authorized targets. No automatic install, prerequisite download or command execution is provided.

Technique-specific experiment contract

  1. Choose one procedure implementing T1003 OS Credential Dumping; identify the observable behavior in the source definition, not just its tactic.
  2. Record exact target, tool/version, inputs, privileges, network limits and approval. Never run an imported default target automatically.
  3. Enable the collection sources above and verify a benign baseline reaches the detector.
  4. Run only the approved isolated scenario; capture native events and an independent behavior observable.
  5. Evaluate the exact rule/model, restore the lab, and preserve configuration, event hashes, alerts, controls and misses.

Synthetic logs and offline contract check

Download synthetic collection fixture (JSON) · Download the complete engineering workbook

This fixture exercises the listed collection fields. It does not reproduce OS Credential Dumping, label its example events as malicious, or measure detection effectiveness. Use the exact analytic and selected procedure to build an independently labelled behavior-positive dataset.

Not run in this browser. No network scan or attack command is executed by this control.

Validation status and remaining work

Source identity
Joined by exact technique/object IDs against hash-pinned sources.
Collection fixture
Available for offline schema exercises; not attack emulation.
Native telemetry / backend / real attack
Not validated for these imported procedures. Source fidelity and page tests cannot establish sensor or detector effectiveness.

All-page audit and evidence inventory · This page’s machine-readable workbook

Sources and evidence boundaries

Pinned MITRE STIX source · SHA-256 81113ba98afa2928f3dcff62022539f7ce30c315c32e14422f11ff95ce534352. Definition and procedure context are reproduced from this snapshot, not independently re-investigated incidents.

Source-linked mitigations

Connected ecosystem references

Linked tags

Source procedure platform / method / executor tags:

Detection and collection

T1003 detection workspace

No reviewed association in this snapshot.

Threat actor context

These are explicit actor-to-technique associations in the existing Threat Matrix snapshot, not attribution of an event or proof that a detector identifies the actor. No tool-to-actor relationship is inferred.

Existing research

Threat Matrix: knowledge routes, evidence and actor context

Connected anomaly research

Curated research views reached through an exact source technique, a catalog model, or a reviewed collection reference. These are navigation associations, not claims of detector effectiveness or sensor equivalence.

Telemetry contracts · Maintained query examples · Validation and blind spots

Pinned research references. No browser attack runner or production-validated detector is asserted. Imported procedures remain unvalidated; any bounded lab evidence has its own scope. ATT&CK / Atomic provenance · Detection provenance.