DET0210: Abuse of Domain Accounts
Official MITRE ATT&CK object mirrored from source data.
Detection strategies and analytics from ATT&CK where present.
Results are validated against normalized ATT&CK source records when available; sample records are used only in development or empty-data environments.
Official MITRE ATT&CK object mirrored from source data.
Official MITRE ATT&CK object mirrored from source data.
Official MITRE ATT&CK object mirrored from source data.
Official MITRE ATT&CK object mirrored from source data.
Official MITRE ATT&CK object mirrored from source data.
Detects access attempts to cloud instance metadata endpoints (e.g., 169.254.169.254) from virtual machines or containerized workloads. This includes both direct access and SSRF exploitation patterns.
Detects non-standard processes (e.g., PowerShell, python.exe, rundll32.exe) making outbound connections using publish/subscribe protocols (e.g., MQTT, AMQP) over non-browser, encrypted channels, often beaconing to message brokers.
Detects CLI tools (e.g., mosquitto_pub, nc, python scripts) interacting with pub/sub brokers using unusual topic names, high-frequency publication rates, or obfuscated payloads to non-standard hosts.
Detects osascript, curl, or custom binaries interacting with XMPP/MQTT brokers in unapproved destinations with encrypted payloads or frequent POST-like requests to broker URIs.
Detects pub/sub traffic over unusual ports, high-frequency topic publications, and connections to known-bad or dynamic broker endpoints outside allowlisted infrastructure.
Adversary uses built-in tools such as 'net user /add /domain' or PowerShell to create a domain user account. The behavior chain includes: (1) suspicious process execution on a domain controller followed by (2) user account creation event (Event ID 4720) on the same host.
Adversary with access to domain management tools (e.g., `realmd`, `samba-tool`, `ldapmodify`) creates a new domain user via command-line utilities. Behavior chain: LDAP command or script triggers → user entry added in AD via Kerberos/LDAP traffic.
macOS clients joined to AD via LDAP may script account provisioning via `dsconfigad`, `dscl`, or LDAP scripts. Detection occurs when such tools run on a domain-joined system, followed by authentication attempts by a previously unseen account.
Abnormal modification of the PATH environment variable or registry keys controlling system paths, combined with execution of binaries named after legitimate system tools from user-writable directories. Defender correlates registry modifications, file creation of suspicious binaries, and process execution paths inconsistent with baseline system directories.
User modification of the $PATH environment variable in shell configuration files or direct runtime PATH changes, followed by execution of binaries from user-controlled directories. Defender observes file edits to ~/.bashrc, ~/.profile, or /etc/paths.d and process execution resolving to unexpected binary locations.
Modification of PATH or HOME environment variables through shell config files, launchctl, or /etc/paths.d entries, combined with process execution from attacker-controlled directories. Defender correlates file changes in /etc/paths.d with process execution resolving to malicious binaries.
Execution of binaries where the on-disk filename does not match PE metadata such as OriginalFilename or InternalName. Often observed with renamed LOLBAS or system binaries like rundll32, powershell, or psexec.
Execution of renamed or relocated native macOS utilities with uncommon names or non-default paths (e.g., renamed `osascript`, `bash`, or `curl`).
Execution of renamed common utilities (e.g., `bash`, `nc`, `python`, `sh`) from atypical directories or with names intended to deceive defenders or EDRs.
From a defender’s perspective, suspicious bridging is observed when network devices begin allowing traffic that contradicts existing segmentation or access policies. Observable behaviors include sudden modifications to ACLs or firewall rules, unusual cross-boundary traffic flows (e.g., east-west communications across separated VLANs), or simultaneous ingress/egress anomalies. Multi-event correlation is key: configuration changes on a router/firewall followed by unexpected traffic patterns, especially from unusual sources, is a strong indicator of compromise.
Adversary uses nltest, PowerShell, or Win32/.NET API to enumerate domain trust relationships (via DSEnumerateDomainTrusts, GetAllTrustRelationships, or LDAP queries), followed by discovery or authentication staging.
Cloud login from atypical geolocation or user-agent string, followed by resource enumeration or infrastructure manipulation using cloud CLI/API
Federated login using SSO or OAuth grant to cloud control plane, followed by directory or permissions enumeration
Login to M365 or Google Workspace from CLI tools or unexpected source IPs, followed by mailbox or document access
Remote access to third-party SaaS with OAuth or API tokens post-initial compromise, followed by sensitive data access or configuration changes
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