Loading AttackTrace...
Loading AttackTrace...
Serverless (T1584.007) is a MITRE ATT&CK technique associated with Resource Development . Adversaries may compromise serverless cloud infrastructure, such as Cloudflare Workers, AWS Lambda functions, or Google Apps Scripts, that can be used during targeting.
Serverless (T1584.007) is a MITRE ATT&CK technique associated with Resource Development. Adversaries may compromise serverless cloud infrastructure, such as Cloudflare Workers, AWS Lambda functions, or Google Apps Scripts, that can be used during targeting.
Attackers use Serverless because it provides a reliable way to advance their objective within the Resource Development tactic, often with a favorable balance of impact versus detectability on PRE environments. Defenders should assess this behavior in the context of the affected platform and adjacent activity rather than treating it as a standalone indicator.
Adversaries may compromise serverless cloud infrastructure, such as Cloudflare Workers, AWS Lambda functions, or Google Apps Scripts, that can be used during targeting. By utilizing serverless infrastructure, adversaries can make it more difficult to attribute infrastructure used during operations back to them.
Once compromised, the serverless runtime environment can be leveraged to either respond directly to infected machines or to Proxy traffic to an adversary-owned command and control server.(Citation: BlackWater Malware Cloudflare Workers)(Citation: AWS Lambda Redirector)(Citation: GWS Apps Script Abuse 2021) As traffic generated by these functions will appear to come from subdomains of common cloud providers, it may be difficult to distinguish from ordinary traffic to these providers - making it easier to Hide Infrastructure.(Citation: Detecting Command & Control in the Cloud)(Citation: BlackWater Malware Cloudflare Workers)
No universal command represents Serverless. Capture the exact command line, arguments, parent process, account, host, and execution time from the investigated environment; do not operationalize unverified examples.
| Event ID | Log Channel | What It Indicates |
|---|---|---|
| Not universally applicable | Validate platform coverage | This technique may not produce a Windows event; use telemetry native to the affected platform. |
| Sysmon Event ID | Name | Why It's Relevant Here |
|---|---|---|
| Environment-specific | Validate configured telemetry | Use process, network, file, registry, DNS, or image-load telemetry only when relevant and enabled. |
No MITRE detection guidance published for this technique.
Relevant ATT&CK Data Sources: N/A
A universal Sigma rule would create unreliable results because this technique has no single guaranteed observable. Build detection logic from a documented behavior and supported data source, scope it to the affected platform, and validate it against benign administrative activity before deployment.
Start with the data sources named in the detection section. Scope searches by asset, identity, and time window; correlate the primary behavior with preceding access and subsequent actions. A portable query is intentionally not provided where the technique lacks a universal schema or observable.