Applied Cybernetics Group Sat, Nov 7, 2026 · data 12:17Z
thrunt.me thrunt me harder

Applied Cybernetics Group

T1530 Data from Cloud Storage

Technique
T1530
Tactics
Collection
Research, 90 days
0
KEV CVEs mapped
2
SigmaHQ rules
0
Elastic, Splunk
37
thrunt rules
0
Upstream
https://attack.mitre.org/techniques/T1530

MITRE 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 through 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)(Citation: HIPAA Journal S3 Breach, 2017)(Citation: Rclone-mega-extortion_05_2021) Adversaries may also obtain then abuse leaked credentials from source repositories, logs, or other means as a way to gain access to cloud storage objects.

KEV CVEs mapped to this technique

MITRE CTID maps these KEV CVEs to this technique by hand. They are the actively exploited vulnerabilities behind this technique's KEV signal.

Detection coverage

Elastic and Splunk rules

Showing 25 of 37.

Signal counts reflect the current corpus snapshot. Research citations are the technique IDs named in vendor reports and government advisories from the last 90 days; KEV mappings come from MITRE CTID. Coverage is the SigmaHQ rule inventory (core, emerging-threats, threat-hunting) plus Elastic and Splunk production rules. Rule bodies are not mirrored; links go upstream.