{ "technique_id": "T1018", "name": "Remote System Discovery", "priority": "high", "status": "draft", "version": "0.1.0", "last_reviewed": "2026-07-23", "generated_by": "SOC Response Atlas by Basyrix", "tactics": [ "Discovery" ], "platforms": [ "ESXi", "Linux", "macOS", "Network Devices", "Windows" ], "summary": "Adversaries may attempt to get a listing of other systems by IP address, hostname, or other logical identifier on a network that may be used for Lateral Movement from the current system...", "soc_recommendation": "Investigate Remote System Discovery activity in the context of Discovery: confirm scope, affected host/identity, and whether it matches expected administrative behaviour before deciding this is benign.", "d3fend_mappings": [ { "id": "D3-SCA", "name": "System Call Analysis", "relationship": "detect", "practical_action": "Monitor for System Call Analysis indicators relevant to this technique.", "tooling": [ "Defender for Endpoint" ] }, { "id": "D3-FE", "name": "File Encryption", "relationship": "harden", "practical_action": "Apply File Encryption to reduce this technique's viability before an incident occurs.", "tooling": [ "Defender for Endpoint" ] }, { "id": "D3-FEV", "name": "File Eviction", "relationship": "evict", "practical_action": "Use File Eviction to remove the adversary's foothold once this technique is confirmed.", "tooling": [ "Defender for Endpoint" ] }, { "id": "D3-SCF", "name": "System Call Filtering", "relationship": "isolate", "practical_action": "Apply System Call Filtering to contain the blast radius once this technique is observed.", "tooling": [ "Defender for Endpoint" ] } ], "investigation_steps": { "microsoft": [ "Review Defender for Endpoint / Defender XDR alerts and timeline for the affected host or identity.", "Check Sentinel analytics rules and incidents correlated with this technique.", "Review Entra ID sign-in and audit logs if the technique involves an identity or cloud resource." ], "generic": [ "Confirm whether the observed remote system discovery activity matches expected administrative or application behaviour.", "Identify the host, account, or resource where the activity occurred and its business criticality.", "Check for related alerts before and after this activity to reconstruct the broader intrusion timeline.", "Real detection reference: \"Probable AdFind Recon Tool Usage (Normalized Process Events)\" -- Identifies the host and account that executed AdFind by hash and filename in addition to common and unique flags that are used by many threat actors in discovery. To use this analytics rule, make sure you have deployed the [ASIM normalization parsers](https://aka.ms/ASimProcessEvent)'" ] }, "evidence_to_collect": [ "Host or resource affected", "Account or identity involved", "Timestamp of the activity", "Related process, file, or network artifact", "Any preceding or follow-on alerts" ], "response_actions": [ { "name": "Contain the affected host or account", "category": "Containment", "risk": "Medium", "automation_safe": false, "approval_required": true, "tool": "Defender for Endpoint / Entra ID", "notes": "Requires approval -- confirm malicious intent before isolating a host or disabling an account." }, { "name": "Collect and preserve evidence", "category": "Investigation", "risk": "Low", "automation_safe": true, "approval_required": false, "tool": "Defender for Endpoint", "notes": "Safe -- read-only evidence collection." } ], "queries": { "kql": [ { "name": "45076281-35ae-45e0-b443-c32aa0baf965 — Probable AdFind Recon Tool Usage (Normalized Process Events)", "description": "Identifies the host and account that executed AdFind by hash and filename in addition to common and unique flags that are used by many threat actors in discovery. To use this analytics rule, make sure you have deployed the [ASIM normalization parsers](https://aka.ms/ASimProcessEvent)' (Source: Microsoft's official Azure-Sentinel Detections (MIT licensed).)", "query": "let args = dynamic([\"objectcategory\",\"domainlist\",\"dcmodes\",\"adinfo\",\"trustdmp\",\"computers_pwdnotreqd\",\"Domain Admins\", \"objectcategory=person\", \"objectcategory=computer\", \"objectcategory=*\",\"dclist\"]);\nlet parentProcesses = dynamic([\"pwsh.exe\",\"powershell.exe\",\"cmd.exe\"]);\nimProcessCreate\n//looks for execution from a shell\n| where ActingProcessName has_any (parentProcesses)\n| extend ActingProcessFileName = tostring(split(ActingProcessName, '\\\\')[-1])\n| where ActingProcessFileName in~ (parentProcesses)\n// main filter\n| where Process hassuffix \"AdFind.exe\" or TargetProcessSHA256 == \"c92c158d7c37fea795114fa6491fe5f145ad2f8c08776b18ae79db811e8e36a3\"\n// AdFind common Flags to check for from various threat actor TTPs\nor CommandLine has_any (args)\n| extend AlgorithmType = \"SHA256\"\n| extend AccountName = tostring(split(User, @'\\')[1]), AccountNTDomain = tostring(split(User, @'\\')[0])\n| extend HostName = tostring(split(Dvc, \".\")[0]), DomainIndex = toint(indexof(Dvc, '.'))\n| extend HostNameDomain = iff(DomainIndex != -1, substring(Dvc, DomainIndex + 1), Dvc)\n| project-away DomainIndex" }, { "name": "c63ae777-d5e0-4113-8c9a-c2c9d3d09fcd — Probable AdFind Recon Tool Usage", "description": "This query identifies the host and account that executed AdFind, by hash and filename, in addition to the flags commonly utilized by various threat actors during the reconnaissance phase.' (Source: Microsoft's official Azure-Sentinel Detections (MIT licensed).)", "query": "let args = dynamic([\"objectcategory\",\"domainlist\",\"dcmodes\",\"adinfo\",\"trustdmp\",\"computers_pwdnotreqd\",\"Domain Admins\", \"objectcategory=person\", \"objectcategory=computer\", \"objectcategory=*\",\"dclist\"]);\nlet parentProcesses = dynamic([\"pwsh.exe\",\"powershell.exe\",\"cmd.exe\"]);\nDeviceProcessEvents\n//looks for execution from a shell\n| where InitiatingProcessFileName in~ (parentProcesses)\n// main filter\n| where FileName =~ \"AdFind.exe\" or SHA256 == \"c92c158d7c37fea795114fa6491fe5f145ad2f8c08776b18ae79db811e8e36a3\"\n // AdFind common Flags to check for from various threat actor TTPs\n or ProcessCommandLine has_any (args)\n| extend HostName = split(DeviceName, '.', 0)[0], DnsDomain = strcat_array(array_slice(split(DeviceName, '.'), 1, -1), '.'), FileHashAlgorithm = \"SHA256\"" }, { "name": "3b22ac47-e02c-4599-a37a-57f965de17be — Claroty - Policy violation", "description": "Detects Claroty policy violation events from ClarotyEvent when EventOriginalType or EventType contains 'Policy Violation'. Use this rule to identify policy enforcement events that may indicate unauthorized discovery or prohibited network activity. This rule expects ClarotyEvent data to be available in the workspace.' (Source: Microsoft's official Azure-Sentinel Detections (MIT licensed).)", "query": "ClarotyEvent\n | where EventOriginalType has 'Policy Violation' or EventType has 'Policy Violation'\n | project TimeGenerated, DstIpAddr, EventOriginalType, EventType\n | extend IPCustomEntity = DstIpAddr" } ], "spl": [], "esql": [ { "name": "860f2a03-a1cf-48d6-a674-c6d62ae608a1 — Potential Subnet Scanning Activity from Compromised Host", "description": "(ESQL) This rule detects potential subnet scanning activity from a compromised host. Subnet scanning is a common reconnaissance technique used by attackers to identify live hosts within a network range. A compromised host may exhibit subnet scanning behavior when an attacker is attempting to map out the network topology, identify vulnerable hosts, or prepare for further exploitation... (Source: Elastic's official detection-rules repository (Elastic License v2).)", "query": "from logs-endpoint.events.network-* metadata _id, _index, _version\n| mv_expand event.action\n| where\n host.os.type == \"linux\" and\n event.type == \"start\" and\n event.action == \"connection_attempted\" and\n not (\n process.executable in (\"/usr/local/bin/prometheus\", \"/app/extra/chrome\", \"/usr/lib/virtualbox/VBoxHeadless\", \"/usr/bin/prometheus\") or\n process.executable like \"/usr/local/prometheus/*/prometheus\" or\n process.executable like \"/usr/share/elastic-agent/*\" or\n process.executable like \"/var/lib/docker/overlay*connectord\" or\n process.executable like \"/opt/rumble/bin/rumble-agent*\" or\n process.executable like \"/opt/gitlab/*\" or\n process.executable like \"/opt/google/chrome/chrome*\" or\n process.executable like \"/snap/firefox/*/firefox\" or\n process.executable like \"/var/lib/docker/overlay2/*/qbittorrent-nox\"\n )\n| keep\n @timestamp,\n _id,\n _index,\n _version,\n host.os.type,\n event.type,\n event.action,\n process.executable,\n destination.ip,\n agent.id,\n host.name,\n data_stream.dataset,\n data_stream.namespace\n\n| stats\n Esql.event_count = count(),\n Esql.destination_ip_count_distinct = count_distinct(destination.ip),\n Esql.agent_id_count_distinct = count_distinct(agent.id),\n Esql.host_name_values = values(host.name),\n Esql.agent_id_values = values(agent.id),\n Esql.data_stream_dataset_values = values(data_stream.dataset),\n Esql.data_stream_namespace_values = values(data_stream.namespace)\n by process.executable\n\n| where\n Esql.agent_id_count_distinct == 1 and\n Esql.destination_ip_count_distinct > 250\n| sort Esql.event_count asc\n\n// Extract unique values to ECS fields for alerts exclusion\n| eval agent.id = mv_min(Esql.agent_id_values),\n host.name = mv_min(Esql.host_name_values)\n\n| keep agent.id, host.name, process.executable, Esql.*" }, { "name": "9c951837-7d13-4b0c-be7a-f346623c8795 — Potential Enumeration via Active Directory Web Service", "description": "(EQL) Identifies processes loading Active Directory related modules followed by a network connection to the ADWS dedicated TCP port. Adversaries may abuse the ADWS Windows service that allows Active Directory to be queried via this web service. (Source: Elastic's official detection-rules repository (Elastic License v2).)", "query": "sequence by process.entity_id with maxspan=3m\n [library where host.os.type == \"windows\" and\n dll.name : (\"System.DirectoryServices*.dll\", \"System.IdentityModel*.dll\") and\n not user.id in (\"S-1-5-18\", \"S-1-5-19\", \"S-1-5-20\") and\n not process.executable :\n (\"?:\\\\windows\\\\system32\\\\dsac.exe\",\n \"?:\\\\program files\\\\powershell\\\\?\\\\pwsh.exe\",\n \"?:\\\\windows\\\\system32\\\\windowspowershell\\\\*.exe\",\n \"?:\\\\windows\\\\syswow64\\\\windowspowershell\\\\*.exe\",\n \"?:\\\\program files\\\\microsoft monitoring agent\\\\*.exe\",\n \"?:\\\\windows\\\\adws\\\\microsoft.activedirectory.webservices.exe\")]\n [network where host.os.type == \"windows\" and destination.port == 9389 and source.port >= 49152 and\n network.direction == \"egress\" and network.transport == \"tcp\" and not cidrmatch(destination.ip, \"127.0.0.0/8\", \"::1/128\")]" } ] }, "automation": { "safe": [ "Add recommendation as Sentinel incident comment.", "Run enrichment queries.", "Create ServiceNow SecOps task." ], "approval_required": [ "Contain or disable the affected host/account.", "Any change to production configuration." ] }, "escalation_criteria": [ "Remote System Discovery activity observed on a privileged account or critical system.", "Activity follows or precedes other suspicious behaviour in the same investigation.", "Automated triage cannot confidently rule out malicious intent." ], "false_positive_considerations": [ "Legitimate administrative or maintenance activity matching this pattern.", "Approved security testing or red team exercise.", "Known benign software producing similar telemetry." ], "confluence": { "title": "T1018 - Remote System Discovery Response Guidance", "labels": [ "mitre", "attack", "d3fend", "secops", "basyrix" ], "sections": [ "summary", "d3fend_mappings", "investigation_steps", "response_actions", "queries", "automation", "escalation_criteria", "false_positive_considerations" ] } }