AN1121: Analytic 1121
Detects high-frequency or anomalous DNS queries initiated by non-browser, non-system processes (e.g., PowerShell, rundll32, python.exe) used to establish command and control via DNS tunneling.
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.
Detects high-frequency or anomalous DNS queries initiated by non-browser, non-system processes (e.g., PowerShell, rundll32, python.exe) used to establish command and control via DNS tunneling.
Detects local daemons or scripts generating outbound DNS queries with long or frequent subdomains, indicative of DNS tunneling via tools like `iodine`, `dnscat2`, or `dig` from cronjobs or reverse shells.
Detects scripting environments (AppleScript, osascript, curl) or non-native tools performing DNS queries with encoded subdomains, often used for data exfiltration or beaconing.
Detects clients issuing DNS queries with high volume, long subdomain lengths, encoded payload patterns, or to known malicious infrastructure; indicative of DNS-based C2 channels.
Detects unusual outbound DNS traffic from ESXi hosts, often from shell scripts, custom daemons, or malicious VIBs interacting with external DNS infrastructure outside the management plane.
Creation or modification of `.plist` files in /Library/LaunchDaemons/, especially those with suspicious Program or ProgramArguments paths, combined with execution activity under launchd with elevated privileges. Detectable through correlated Unified Logs, file monitoring, and process telemetry.
Unusual enumeration of services and resources through cloud APIs such as AWS CLI `describe-*`, Azure Resource Manager queries, or GCP project listings. Defender perspective includes anomalous API calls, unexpected volume of service enumeration, and correlation of discovery with recently compromised sessions.
Enumeration of directories, applications, or service principals through APIs such as Microsoft Graph or Okta API. Defender perspective includes unexpected listing of users, roles, applications, and abnormal access to identity management endpoints.
Discovery of SaaS services connected to productivity platforms (e.g., Microsoft 365, Google Workspace). Defender perspective includes unexpected enumeration of enabled services, API integrations, or OAuth applications tied to user accounts.
Discovery of connected SaaS applications, APIs, or configurations within platforms like Salesforce, Slack, or Zoom. Defender perspective includes enumeration of available integrations, abnormal querying of service metadata, and follow-on attempts to exploit or persist via discovered services.
Configuration changes to virtual TAP/mirror policies that forward traffic to unapproved destinations. Detection correlates management plane API calls with mirrored traffic observation.
Unauthorized mirroring sessions initiated on routers/switches (e.g., via `monitor session`, `mirror port`) coupled with outbound traffic from mirrored interface to unexpected destinations.
Monitor Windows Registry modifications to Winlogon keys (Shell, Userinit, Notify) that introduce new executable or DLL paths. Correlate these changes with subsequent DLL loading, image loads, or process creation originating from winlogon.exe or userinit.exe. Abnormal child process lineage or unauthorized binaries in C:\Windows\System32 may indicate abuse.
Correlates LNK file execution with embedded resource extraction or suspicious network activity following initial launch, often leading to payload delivery via disguised icons.
Abuse of extended attributes (xattrs) to embed hidden payloads into legitimate files. Defender perspective: detect anomalous use of setfattr or getfattr commands, or direct syscalls (setxattr, getxattr) where attributes are unusually large or contain encoded data. Behavior chain includes: (1) execution of setfattr with suspicious namespaces (user., trusted.), (2) file metadata modification inconsistent with file size/hash, and (3) subsequent process execution reading attributes followed by decoding activity.
Abuse of extended attributes (xattrs) to hide payloads in com.apple.* or custom keys. Defender perspective: monitor suspicious use of xattr command with -w (write) and -p (print) flags, especially when followed by execution of interpreters like bash, Python, or osascript. Behavior chain includes: (1) suspicious file modification with new com.apple.* attributes, (2) attribute content inconsistent with expected metadata tags (e.g., high entropy), (3) subsequent process execution correlated with extraction of the attribute.
Detects anomalous usage of local accounts to log into a system, especially accounts not typically used interactively or outside business hours.
Detects interactive or service logins from local accounts outside expected operational context or at anomalous times.
Detects abnormal or rare logins via local accounts through system or remote mechanisms such as SSH.
Outbound spoofed traffic to known amplification protocols (e.g., DNS, NTP, Memcached) combined with abnormal network traffic volume targeting remote reflectors, resulting in disproportionate traffic returned to a victim
Spoofed outbound packets sent to amplification services from command-line tools or scripts, combined with abnormal outbound packet volume on known reflector ports
Command-line initiated UDP traffic bursts to external reflection amplification ports using built-in scripting or binaries with network anomalies
Cloud-hosted VM or container generates spoofed UDP requests to third-party services on known amplifier ports, with high outbound-to-inbound traffic ratios in VPC Flow Logs
Detects anomalous NTLM LogonType 3 authentications that occur without accompanying domain logon events, especially from lateral systems or involving built-in administrative tools. Monitors for mismatches between source user context and system being accessed. Correlates LogonSession creation, NTLM authentications, and process/service initiation to identify suspicious use of stolen password hashes for remote access or service logon without password entry. Detects overpass-the-hash by combining Kerberos ticket issuance with NTLM-based lateral movement.
Monitoring of file access to network shares (e.g., C$, Admin$) followed by unusual read or copy operations by processes not typically associated with such activity (e.g., PowerShell, certutil).
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