AN1641: Analytic 1641
Detection of suspicious access to password manager processes (KeePass, 1Password, LastPass, Bitwarden) through abnormal process injection, memory reads, or command-line usage of vault-related DLLs. Correlates process creation with OS API calls and file access to vault databases (.kdbx, .opvault, .ldb).
Analyst context for executives and security teams
AN1641 is a Windows-focused detection analytic for suspicious access to password manager processes and vault files such as KeePass, 1Password, LastPass, and Bitwarden. Its practical value is that password managers concentrate high-value identity material; unusual process injection, memory reads, command-line use of vault-related DLLs, or access to vault databases can signal risk to privileged access, cloud accounts, and business continuity even before a broader incident is confirmed.
Executive priority
Security leaders should treat this as an identity-risk and incident-readiness control point: confirm whether endpoint telemetry can show abnormal access to password manager processes and vault databases, and whether SOC and IR teams have a playbook for triaging possible password-vault exposure. This helps prioritize endpoint visibility, credential-protection controls, and audit evidence around access to sensitive identity stores.
Technical view
For Windows endpoints, validate correlation across process creation, OS API activity, and file access involving password manager processes and vault data types named in the analytic: KeePass, 1Password, LastPass, Bitwarden, .kdbx, .opvault, and .ldb. Because no official detection logic is supplied, teams should build or review detections that look for abnormal process injection, memory reads, suspicious command-line references to vault-related DLLs, and unexpected access to vault database files. Tuning should distinguish normal password manager operation, backups, browser/app updates, endpoint tooling, and legitimate user-driven vault access from unusual cross-process or automation behavior.
Likely telemetry
- Windows process creation events with command-line arguments
- Endpoint telemetry for process injection or cross-process access
- OS API call telemetry related to memory reads or process access, where available
- File access events for password manager vault databases, including .kdbx, .opvault, and .ldb
- Process ancestry and signer/reputation context for processes interacting with password manager applications
Detection direction
- Confirm telemetry coverage exists on Windows systems where password managers are used; absence of process access, API, or file telemetry is a major blind spot.
- Correlate suspicious process behavior with vault-file access rather than alerting only on file extension access, which may create high false positives.
- Baseline normal password manager processes, update mechanisms, backup tools, and security agents before treating memory reads or DLL references as malicious.
- Prioritize alerts where an unexpected process interacts with password manager memory and accesses vault database files in close time proximity.
- Document detection assumptions because the ATT&CK object provides a description but no official detection implementation.
Mitigation priorities
- Inventory where supported password managers and vault file types are used on Windows endpoints.
- Reduce unnecessary local administrative privileges and limit which processes can interact with sensitive applications where feasible.
- Ensure endpoint protection and logging are configured to capture process creation, cross-process access, and sensitive file access needed for this analytic.
- Define an incident response workflow for suspected password manager access, including user validation and credential-exposure assessment.
- Use findings to support compliance evidence for monitoring access to sensitive credential stores, while recognizing local policy and logging determine evidentiary value.
Analyst notes and limits
This object is a detection analytic, not a technique, and no tactics or relationships were supplied. The strongest use is as a validation checklist for Windows endpoint visibility around password manager process and vault access. Local baselining is essential because legitimate password manager use, synchronization, updates, backups, and security tooling may resemble parts of the behavior.
Official detection logic is not provided, and no relationship context is supplied. The object only supports Windows as a platform and does not support claims about active exploitation, attribution, prevalence, impact, or guaranteed detection. Environment-specific telemetry, password manager deployment patterns, and endpoint control configuration are required to operationalize it.
Analytic 1641
Detection of suspicious access to password manager processes (KeePass, 1Password, LastPass, Bitwarden) through abnormal process injection, memory reads, or command-line usage of vault-related DLLs. Correlates process creation with OS API calls and file access to vault databases (.kdbx, .opvault, .ldb).
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 | a02115119f3f… |
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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[1]
mitre-attack AN1641Open source URL
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