Query: Lateral movement indicators for Data from Cloud Storage
Matching passage: T1530 Data from Cloud Storage. Tactics: collection. Description: Adversaries may access data from cloud storage. Many IaaS providers offer solutions for online data object storage such as Amazon S3, Azure Storage, and Google Cloud Storage. Similarly, SaaS enterprise platforms such as Office 365 and Google Workspace provide cloud-based document storage to users through services such as OneDrive and Google Drive, while SaaS application providers such as Slack, Confluence, Salesforce, and Dropbox may provide cloud storage solutions as a peripheral or primary use case of their platform. In some cases, as with IaaS-based cloud storage, there exists no overarching application (such as SQL or Elasticsearch) with which to interact with the stored objects: instead, data from these solutions is retrieved directly though the [Cloud API](https://attack.mitre.org/techniques/T1059/009). In SaaS applications, adversaries may be able to collect this data directly from APIs or backend cloud storage objects, rather than through their front-end application or interface (i.e., [Data from Information Repositories](https://attack.mitre.org/techniques/T1213)). Adversaries may collect sensitive data from these cloud storage solutions. Providers typically offer security guides to help end users configure systems, though misconfigurations are a common problem.(Citation: Amazon S3 Security, 2019)(Citation: Microsoft Azure Storage Security, 2019)(Citation: Google Cloud Storage Best Practices, 2019) There have been numerous incidents where cloud storage has been improperly secured, typically by unintentionally allowing public access to unauthenticated users, overly-broad access by all users, or even access for any anonymous person outside the control of the Identity Access Management system without even needing basic user permissions. This open access may expose various types of sensitive data, such as credit cards, personally identifiable information, or medical records.(Citation: Trend Micro S3 Exposed PII, 2017)(Citation: Wired Magecart S3 Buckets, 2019)(
Near-miss passage: T1119 Automated Collection. Tactics: collection. Description: Once established within a system or network, an adversary may use automated techniques for collecting internal data. Methods for performing this technique could include use of a [Command and Scripting Interpreter](https://attack.mitre.org/techniques/T1059) to search for and copy information fitting set criteria such as file type, location, or name at specific time intervals. In cloud-based environments, adversaries may also use cloud APIs, data pipelines, command line interfaces, or extract, transform, and load (ETL) services to automatically collect data.(Citation: Mandiant UNC3944 SMS Phishing 2023) This functionality could also be built into remote access tools. This technique may incorporate use of other techniques such as [File and Directory Discovery](https://attack.mitre.org/techniques/T1083) and [Lateral Tool Transfer](https://attack.mitre.org/techniques/T1570) to identify and move files, as well as [Cloud Service Dashboard](https://attack.mitre.org/techniques/T1538) and [Cloud Storage Object Discovery](https://attack.mitre.org/techniques/T1619) to identify resources in cloud environments.