T1526: Cloud Service Discovery
An adversary may attempt to enumerate the cloud services running on a system after gaining access. These methods can differ from platform-as-a-service (PaaS), to infrastructure-as-a-service (IaaS), or software-as-a-service (SaaS). Many services exist throughout the various cloud providers and can include Continuous Integration and Continuous Delivery (CI/CD), Lambda Functions, Entra ID, etc. They may also include security services, such as AWS GuardDuty and Microsoft Defender for Cloud, and logging services, such as AWS CloudTrail and Google Cloud Audit Logs.
Adversaries may attempt to discover information about the services enabled throughout the environment. Azure tools and APIs, such as the Microsoft Graph API and Azure Resource Manager API, can enumerate resources and services, including applications, management groups, resources and policy definitions, and their relationships that are accessible by an identity.[1][2]
For example, Stormspotter is an open source tool for enumerating and constructing a graph for Azure resources and services, and Pacu is an open source AWS exploitation framework that supports several methods for discovering cloud services.[3][4]
Adversaries may use the information gained to shape follow-on behaviors, such as targeting data or credentials from enumerated services or evading identified defenses through Disable or Modify Tools or Disable or Modify Cloud Log.
Security context for executives and security teams
T1526: Cloud Service Discovery describes An adversary may attempt to enumerate the cloud services running on a system after gaining access. These methods can differ from platform-as-a-service (PaaS), to infrastructure-as-a-service (IaaS), or software-as-a-service (SaaS). Many services exist throughout the various cloud providers and can include Continuous Integration and Continuous Delivery (CI/CD), Lambda Functions, Entra ID, etc. They may also include security services, such as AWS GuardDuty and Microsoft Defender for Cloud, and logging services, such a...
Executive priority
T1526: Cloud Service Discovery is an official MITRE ATT&CK technique. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.
Technical view
Security teams should validate T1526: Cloud Service Discovery by reviewing the official ATT&CK relationships, mapped tactics (discovery), supported platforms (IaaS, Identity Provider, Office Suite, SaaS), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
- Endpoint process, command-line, and script execution logs
- Cloud control-plane, SaaS audit, and container platform logs
Detection direction
- Validate whether T1526: Cloud Service Discovery appears in your detection coverage and tabletop scenarios.
- Use the object to align executive risk language with SOC, incident response, and detection engineering work.
- Do not treat ATT&CK relationship context as attribution without corroborating evidence.
Mitigation priorities
- Map the object to existing controls and identify missing telemetry or response ownership.
- Prioritize mitigations that reduce exposure on the listed platforms and tactics.
- Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits
Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.
This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Cloud Service Discovery
An adversary may attempt to enumerate the cloud services running on a system after gaining access. These methods can differ from platform-as-a-service (PaaS), to infrastructure-as-a-service (IaaS), or software-as-a-service (SaaS). Many services exist throughout the various cloud providers and can include Continuous Integration and Continuous Delivery (CI/CD), Lambda Functions, Entra ID, etc. They may also include security services, such as AWS GuardDuty and Microsoft Defender for Cloud, and logging services, such as AWS CloudTrail and Google Cloud Audit Logs.
Adversaries may attempt to discover information about the services enabled throughout the environment. Azure tools and APIs, such as the Microsoft Graph API and Azure Resource Manager API, can enumerate resources and services, including applications, management groups, resources and policy definitions, and their relationships that are accessible by an identity.[1][2]
For example, Stormspotter is an open source tool for enumerating and constructing a graph for Azure resources and services, and Pacu is an open source AWS exploitation framework that supports several methods for discovering cloud services.[3][4]
Adversaries may use the information gained to shape follow-on behaviors, such as targeting data or credentials from enumerated services or evading identified defenses through Disable or Modify Tools or Disable or Modify Cloud Log.
How security teams should use this page
Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.
Groups, software, and campaigns
G1053: Storm-0501
Storm-0501 is a financially motivated cyber criminal group that uses commodity and open-source tools to conduct ransomware operations. Storm-0501 has been active since 2021 and has previously been affiliated with Sabbath Ransomware and other Ransomware-as-a-Service (RaaS) variants such as Hive, BlackCat, Hunters International, LockBit 3.0, and Embargo ransomware.[1][2][3][4]
S1091: Pacu
Pacu is an open-source AWS exploitation framework. The tool is written in Python and publicly available on GitHub.[1]
S0677: AADInternals
AADInternals is a PowerShell-based framework for administering, enumerating, and exploiting Azure Active Directory. The tool is publicly available on GitHub.[1][2]
S0684: ROADTools
S9009: TruffleHog
TruffleHog is an open-source secrets-discovery tool that is used to search for credentials, API keys, and encryption keys across a variety of data sources and environments.[1][2] TruffleHog has the ability to discover credentials and secrets stored in code repositories, git history, CI/CD pipelines, among other common storage locations to include filesystems and cloud storage buckets.[1][3][2] TruffleHog was first released by its author in 2016.[2]
S9041: TeamPCP Cloud Stealer
The TeamPCP Cloud Stealer is a comprehensive filesystem credential stealer that can harvest, encrypt, and exfiltrate credentials from over 50 sensitive file paths across CI/CD, cloud, developer tooling, and container environments. The TeamPCP Cloud Stealer was the primary payload used by TeamPCP in March 2026 during early stages of a cascading supply chain campaign targeting CI/CD workflows.[1][2][3][4][5][6][7][8]
All related ATT&CK context
Object version and sync metadata
The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates.
Imported snapshots across ATT&CK releases(2)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.2 | 1.4 | Current bundle | 02fa4f657516… | ||
| 19.1 | 1.4 | Older bundle | 02fa4f657516… |
Mirrored ATT&CK source object
The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
- [1]Azure - Resource Manager API
Microsoft. (2019, May 20). Azure Resource Manager. Retrieved June 17, 2020.
Open source URL - [2]Azure AD Graph API
Microsoft. (2016, March 26). Operations overview | Graph API concepts. Retrieved June 18, 2020.
Open source URL - [3]Azure - Stormspotter
Microsoft. (2020). Azure Stormspotter GitHub. Retrieved June 17, 2020.
Open source URL - [4]GitHub Pacu
Rhino Security Labs. (2019, August 22). Pacu. Retrieved October 17, 2019.
Open source URL - [5]mitre-attackT1526Open source URL
Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.