DET0632: Detection of Process Injection
DET0632 is a MITRE ATT&CK detection strategy object for detecting mobile Process Injection, but MITRE provides no official description or detection logic f...
Analyst context for executives and security teams
DET0632 is a MITRE ATT&CK detection strategy object for detecting mobile Process Injection, but MITRE provides no official description or detection logic for the strategy itself. Its practical value is as a coverage prompt: leaders and defenders should verify whether mobile security monitoring can identify code executing inside another live process, because that behavior may bypass process-based controls or run with the resources and privileges of the targeted process.
Executive priority
Treat this as a mobile defense validation item rather than a ready-made analytic. For Android and iOS environments, ask whether current mobile security, incident response, and compliance evidence can show when process boundaries are abused. The business risk is reduced visibility: if monitoring only trusts process names or application identity, injected execution may appear to come from a legitimate process, complicating incident decisions and audit confidence.
Technical view
The supplied relationship states that DET0632 detects T1631 Process Injection in the mobile ATT&CK domain, with related platforms Android and iOS. SOC and IR teams should validate whether they collect evidence that can distinguish normal process behavior from arbitrary code running in another process address space. Because MITRE provides no official detection text, local analytic design should be based on mobile OS telemetry, memory/process integrity signals, and correlation with application behavior rather than on a predefined ATT&CK analytic.
Likely telemetry
- Mobile endpoint or MTD/EDR process execution and process metadata where available
- Application identity, signing, entitlement, permission, and sandbox context
- Memory or process integrity signals indicating unexpected code mapped into a live process
- Security product alerts that reference injection, tampering, hooking, or abnormal in-process execution
- Mobile system logs relevant to process creation, crashes, privilege context, or abnormal resource access
Detection direction
- Validate that detections do not rely only on process name or application reputation, since the related technique may mask execution under a legitimate process.
- Correlate process-context anomalies with application signing, permission use, memory integrity, and unexpected network or resource access.
- Tune carefully for legitimate mobile platform behavior, security tooling, debugging, accessibility, or enterprise management functions that may resemble process manipulation.
- Confirm coverage separately for Android and iOS if those platforms are in scope; the detection strategy object itself does not list platforms, but the related technique does.
- Document gaps where mobile OS restrictions, privacy controls, or lack of endpoint telemetry prevent direct observation.
Mitigation priorities
- Prioritize visibility first: confirm what mobile process, application, integrity, and security-alert telemetry is actually available.
- Harden mobile application and device management baselines where applicable, including least privilege, trusted application sources, and control of debugging or management features.
- Use mobile threat detection or endpoint controls that can provide behavioral and integrity evidence, not only inventory or compliance posture.
- Prepare IR playbooks to preserve mobile evidence and investigate suspicious activity attributed to legitimate processes.
- Map validated telemetry and controls to audit evidence so leadership can distinguish assumed coverage from tested coverage.
Analyst notes and limits
This take is based on the detection strategy object DET0632 and its relationship to T1631 Process Injection. The source object has no official description, no official detection guidance, no tactics, and no platforms listed; Android and iOS are included only because they are supplied on the related technique.
MITRE’s supplied fields do not provide detection logic, data sources, mitigations, or implementation details for DET0632. Any concrete analytic, tooling recommendation, or coverage statement requires local environment evidence and testing.
Detection of Process Injection
No official description is available in the imported ATT&CK source object.
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.
Techniques used
This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| Mobile | T1631 | Process Injection | This object detects Process Injection. |
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 (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.0 | Current bundle | 314a81db7b30… |
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.
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mitre-attack DET0632Open source URL
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