DC0109: Process/Event Alarm
This includes a list of any process alarms or alerts produced to indicate unusual or concerning activity within the operational process (e.g., increased temperature/pressure)
Concrete ATT&CK data components linked to detectable techniques.
Results are validated against normalized ATT&CK source records when available; sample records are used only in development or empty-data environments.
This includes a list of any process alarms or alerts produced to indicate unusual or concerning activity within the operational process (e.g., increased temperature/pressure)
Protected Configuration represents security-sensitive device settings, security policies, or operating system configurations that are normally restricted to administrators, system services, or device management platforms. Monitoring these configurations enables detection of adversaries attempting to weaken device security controls or alter trusted device relationships.
Examples Android:
- USB debugging enabled - Unknown app installation allowed - Developer options enabled
iOS:
- Developer mode enabled - Device pairing trust relationships established - Configuration profile restrictions modified
Captured network traffic that provides details about responses received during an internet scan. This data includes both protocol header values (e.g., HTTP status codes, IP headers, or DNS response codes) and response body content (e.g., HTML, JSON, or raw data). Examples:
- HTTP Scan: A web server responds to a probe with an HTTP 200 status code and an HTML body indicating the default page is accessible. - DNS Scan: A DNS server replies to a query with a resolved IP address for a domain, along with details like Time-To-Live (TTL) and authoritative information. - TCP Banner Grab: A service listening on a port (e.g., SSH or FTP) responds with a banner containing service name, version, or other metadata.
Contextual information about an Internet-facing resource collected during a scan, including details such as open ports, running services, protocols, and versions. This metadata is typically derived from interpreting scan results and helps build a profile of the targeted system. Examples:
- Port and Service Details: - Open ports (e.g., 22, 80, 443). - Identified services running on those ports (e.g., SSH, HTTP, HTTPS). - Service Versions: Detected software version information (e.g., Apache 2.4.41, OpenSSH 8.2). - Operating System Information: OS fingerprinting data (e.g., Linux Kernel 5.4.0). - TLS/SSL Certificate Data: Information about the TLS/SSL certificate, such as the expiration date, issuer, and cipher suites.
*Data Collection Measures:*
- Scanning Tools: - Nmap: Collects port, service, and version information using commands like nmap -sV
The establishment of a task or job that will execute at a predefined time or based on specific triggers.
The establishment of a task or job that will execute at a predefined time or based on specific triggers.
The establishment of a task or job that will execute at a predefined time or based on specific triggers.
Contextual data about a scheduled job, which may include information such as name, timing, command(s), etc.
Contextual data about a scheduled job, which may include information such as name, timing, command(s), etc.
Changes made to an existing scheduled job, including modifications to its execution parameters, command payload, or execution timing.
Changes made to an existing scheduled job, including modifications to its execution parameters, command payload, or execution timing.
The execution of a text file that contains code via the interpreter.
The execution of a text file that contains code via the interpreter.
The registration of a new service or daemon on an operating system.
*Data Collection Measures:*
- Windows Event Logs - Event ID 4697 - Captures the creation of a new Windows service. - Event ID 7045 - Captures services installed by administrators or adversaries. - Event ID 7034 - Could indicate malicious service modification or exploitation. - Sysmon Logs - Sysmon Event ID 1 - Process Creation (captures service executables). - Sysmon Event ID 4 - Service state changes (detects service installation). - Sysmon Event ID 13 - Registry modifications (captures service persistence changes). - PowerShell Logging - Monitor `New-Service` and `Set-Service` PowerShell cmdlets in Event ID 4104 (Script Block Logging). - Linux/macOS Collection Methods - AuditD & Syslog Daemon Logs (`/var/log/syslog`, `/var/log/messages`, `/var/log/daemon.log`) - AuditD Rules: - `auditctl -w /etc/systemd/system -p wa -k service_creation` - Detects changes to `systemd` service configurations. - Systemd Journals (`journalctl -u
The registration of a new service or daemon on an operating system.
*Data Collection Measures:*
- Windows Event Logs - Event ID 4697 - Captures the creation of a new Windows service. - Event ID 7045 - Captures services installed by administrators or adversaries. - Event ID 7034 - Could indicate malicious service modification or exploitation. - Sysmon Logs - Sysmon Event ID 1 - Process Creation (captures service executables). - Sysmon Event ID 4 - Service state changes (detects service installation). - Sysmon Event ID 13 - Registry modifications (captures service persistence changes). - PowerShell Logging - Monitor `New-Service` and `Set-Service` PowerShell cmdlets in Event ID 4104 (Script Block Logging). - Linux/macOS Collection Methods - AuditD & Syslog Daemon Logs (`/var/log/syslog`, `/var/log/messages`, `/var/log/daemon.log`) - AuditD Rules: - `auditctl -w /etc/systemd/system -p wa -k service_creation` - Detects changes to `systemd` service configurations. - Systemd Journals (`journalctl -u
Contextual data about a service/daemon, which may include information such as name, service executable, start type, etc.
Contextual data about a service/daemon, which may include information such as name, service executable, start type, etc.
Changes made to an existing service or daemon, such as modifying the service name, start type, execution parameters, or security configurations.
Changes made to an existing service or daemon, such as modifying the service name, start type, execution parameters, or security configurations.
The process of taking a point-in-time copy of a cloud storage volume (files, settings, configurations, etc.), virtual machine (VM), or database that can be created and deployed in cloud environments.
The removal of a point-in-time backup of a cloud storage volume, virtual machine (VM), or database.
*Data Collection Measures:*
- AWS CloudTrail - Logs `DeleteSnapshot` API calls in EC2, RDS, and EBS services. - Azure Monitor Logs - Tracks snapshot deletions via `Microsoft.Compute/snapshots/delete` API calls. - Google Cloud Logging - Detects snapshot removal through `compute.disks.deleteSnapshot` events.
The process of listing or retrieving metadata about existing snapshots in a cloud environment.
*Data Collection Measures:*
- AWS CloudTrail - Logs API calls such as `DescribeSnapshots`, `ListSnapshots`, and `GetSnapshotAttributes`. - Azure Monitor Logs - Tracks snapshot enumeration via `Microsoft.Compute/snapshots/read`. - Google Cloud Logging - Detects snapshot listing through `compute.disks.listSnapshots`.
Contextual data about a snapshot, which may include information such as ID, type, and status
Changes made to a cloud snapshot's metadata, attributes, or control settings. These modifications may involve adjusting access permissions, changing retention policies, or altering encryption settings.
*Data Collection Measures:*
- AWS CloudTrail - Tracks API calls such as `ModifySnapshotAttribute`, `ResetSnapshotAttribute`, and `ModifySnapshotTier`. - Azure Monitor Logs - Logs changes via `Microsoft.Compute/snapshots/write`. - Google Cloud Logging - Captures modifications through `compute.snapshots.setIamPolicy` and `compute.snapshots.patch`.
Established, compromised, or otherwise acquired by adversaries to conduct reconnaissance, influence operations, social engineering, or other cyber threats.
*Data Collection Measures:*
- API Monitoring - Social media APIs (e.g., Twitter API, Facebook Graph API) can extract behavioral patterns of accounts. - Web Scraping - Extracts public profile data, friend lists, or interactions to identify impersonation attempts. - Threat Intelligence Feeds - External feeds track malicious personas linked to disinformation campaigns or phishing. - OSINT Tools - Maltego, SpiderFoot, and OpenCTI can map social media persona relationships. - Endpoint Detection - EDR logs user behavior and alerts on suspicious social media interactions. - SIEM Logging - Detects access to known phishing pages or social media abuse via proxy logs. - Dark Web Monitoring - Identifies compromised social media credentials being sold.
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