Shailesh Tiwary (Indian Army); Praetorian; Oleg Kolesnikov, Securonix; Cisco; Varonis Threat Labs; Alex Soler, AttackIQ; Vectra AI; OWN
Adversaries may abuse serverless computing, integration, and automation services to execute arbitrary code in cloud environments. Many cloud providers offer a variety of serverless resources, including compute engines, application integration services, and web servers.
Adversaries may abuse these resources in various ways as a means of executing arbitrary commands. For example, adversaries may use serverless functions to execute malicious code, such as crypto-mining malware (i.e. Resource Hijacking).[1] Adversaries may also create functions that enable further compromise of the cloud environment. For example, an adversary may use the IAM:PassRole permission in AWS or the iam.serviceAccounts.actAs permission in Google Cloud to add Additional Cloud Roles to a serverless cloud function, which may then be able to perform actions the original user cannot.[2][3]
Serverless functions can also be invoked in response to cloud events (i.e. Event Triggered Execution), potentially enabling persistent execution over time. For example, in AWS environments, an adversary may create a Lambda function that automatically adds Additional Cloud Credentials to a user and a corresponding CloudWatch events rule that invokes that function whenever a new user is created.[4] This is also possible in many cloud-based office application suites. For example, in Microsoft 365 environments, an adversary may create a Power Automate workflow that forwards all emails a user receives or creates anonymous sharing links whenever a user is granted access to a document in SharePoint.[5][6] In Google Workspace environments, they may instead create an Apps Script that exfiltrates a user's data when they open a file.[7][8]
44th pctamong all ATT&CK techniques for number of tools
1 software entry is documented implementing this technique. MITRE files each as a tool or as malware; newest first, then by how many groups carry them.
MITRE names one behaviour worth catching for this technique and breaks it into 3 analytics, one per platform. Each carries the log sources it needs and the fields you tune per environment.
Detection Strategy for Serverless Execution (T1648)
Enterprise
3 platforms
AN1053 · IaaS
Correlate creation or modification of serverless functions (e.g., AWS Lambda, GCP Cloud Functions, Azure Functions) with anomalous IAM role assignments or permissions escalation events. Detect subsequent executions of newly created functions that perform unexpected actions such as spawning outbound network connections, accessing sensitive resources, or creating additional credentials.
Log sources
The data this analytic draws on. You do not need every component — each one you already collect covers part of it. Each links to its ATT&CK record.
CreateFunction / UpdateFunctionConfiguration: Function creation, role assignment, or configuration change events
Tunable fields
MITRE calls these the analytic’s mutable elements: the thresholds and filters you set for your own environment.
Field
What you tune
RoleScope
Which IAM roles or privileges are considered sensitive when applied to functions
AllowedFunctions
Known baseline list of approved serverless functions to reduce false positives
TimeWindow
Temporal threshold for correlating function creation with anomalous execution
AN1054 · Office Suite
Monitor for creation of new Power Automate flows or equivalent automation scripts that trigger on user or file events. Detect anomalous actions performed by these automations, such as email forwarding, anonymous link creation, or unexpected API calls to external endpoints.
Log sources
The data this analytic draws on. You do not need every component — each one you already collect covers part of it. Each links to its ATT&CK record.
AddFlow / UpdateFlow: New automation or workflow creation events
Tunable fields
MITRE calls these the analytic’s mutable elements: the thresholds and filters you set for your own environment.
Field
What you tune
UserContext
Business units or users where automation creation is expected (developers, admins)
FlowActions
Specific automation actions (email forwarding, file sharing) that should be considered suspicious
AN1055 · SaaS
Track creation or update of SaaS automation scripts (e.g., Google Workspace Apps Script). Detect when these scripts are bound to user events such as file opens or account modifications, and correlate with subsequent abnormal API calls that exfiltrate or modify user data.
Log sources
The data this analytic draws on. You do not need every component — each one you already collect covers part of it. Each links to its ATT&CK record.
Where possible, consider restricting access to and use of serverless functions. For examples, conditional access policies can be applied to users attempting to create workflows in Microsoft Power Automate. Google Apps Scripts that use OAuth can be limited by restricting access to high-risk OAuth scopes.