AN0717: Analytic 0717
Defenders may detect adversaries forging web credentials in IaaS environments by monitoring for anomalous API activity such as AssumeRole or GetFederationToken being executed by unusual principals. These events often correlate with sudden logon sessions from unfamiliar IP addresses or regions. The chain is usually secret material misuse (stolen private key or password) → API request generating a new token → access to high-value resources.
Analyst context for executives and security teams
This analytic matters because forged or misused cloud web credentials can turn a stolen secret into fresh IaaS access tokens and then access to high-value resources. For leaders, the practical question is whether the organization can recognize when an unusual principal suddenly generates federation or role-based tokens from unfamiliar locations before that access becomes a broader cloud incident.
Executive priority
Prioritize this as a cloud identity and incident-readiness control area. It supports business continuity by validating whether IaaS API activity, identity context, and logon geography are available for investigation when credential misuse is suspected. It also provides useful audit evidence that privileged token generation is monitored, especially for access to sensitive or high-value cloud resources.
Technical view
For SOC and detection teams, validate monitoring of anomalous IaaS API calls such as AssumeRole and GetFederationToken, especially when executed by unusual principals. Correlate those events with sudden logon sessions from unfamiliar IP addresses or regions and with subsequent access to high-value resources. Because no ATT&CK tactic or relationship context is supplied, treat this as a cloud identity detection analytic rather than a complete technique coverage statement.
Likely telemetry
- IaaS control-plane/API audit logs
- AssumeRole and GetFederationToken event records
- Principal, role, account, and session identifiers
- Source IP address and geographic/region context for logon or API activity
- Token issuance and federation activity
Detection direction
- Validate that IaaS API audit logging is enabled and retained for token-generating actions.
- Tune detections around unusual principal-to-role relationships, unfamiliar source IPs or regions, and sudden token generation followed by access to high-value resources.
- Correlate API token generation with authentication/session telemetry rather than alerting on the API call alone, since legitimate automation and administrative workflows may also use these APIs.
- Define what counts as a high-value resource and ensure access events to those resources are visible.
- Review blind spots where logs lack principal detail, source network context, federation/session identifiers, or sufficient retention for incident reconstruction.
Mitigation priorities
- Establish strong governance over principals and roles that can generate federation or assumed-role tokens.
- Reduce unnecessary privileges and remove unused or overly broad role trust relationships where identified through local review.
- Protect secret material such as private keys and passwords, since the described chain begins with secret misuse.
- Require reviewable logging and alerting for privileged token generation and high-value resource access.
- Prepare incident response procedures for suspected cloud credential misuse, including session/token review, secret rotation, and validation of downstream resource access.
Analyst notes and limits
The supplied object is a detection analytic for IaaS environments, focused on anomalous API activity involving AssumeRole or GetFederationToken and related unfamiliar logon context. There are no supplied relationships, aliases, labels, or tactics, so this take avoids mapping it to a broader ATT&CK behavior beyond the official description.
Official detection content is not provided, and no relationship context is supplied. Local cloud architecture, identity model, logging configuration, normal automation patterns, and definitions of high-value resources are required to operationalize this analytic.
Analytic 0717
Defenders may detect adversaries forging web credentials in IaaS environments by monitoring for anomalous API activity such as AssumeRole or GetFederationToken being executed by unusual principals. These events often correlate with sudden logon sessions from unfamiliar IP addresses or regions. The chain is usually secret material misuse (stolen private key or password) → API request generating a new token → access to high-value resources.
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.
All related ATT&CK context
No relationships are available in the current normalized data for this object.
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 (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.0 | Current bundle | 7e63c66502fb… |
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]
mitre-attack AN0717Open 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.