AN1277: Analytic 1277
Password spraying or brute force attempts across user pool within short time intervals
Analyst context for executives and security teams
AN1277 is a detection analytic concept for identifying password spraying or brute-force attempts against an identity provider, especially attempts spread across a user population in a short period. For leaders, this matters because identity-provider authentication is often the front door to business applications, cloud services, and remote access. If the organization cannot see clustered failed-login behavior across many accounts, it may miss early signs of account compromise attempts or be unable to prove to auditors and incident responders that authentication abuse is being monitored.
Executive priority
Prioritize validation of identity-provider logging, alerting, and response playbooks for broad authentication abuse. The key business question is whether the organization can quickly distinguish normal login friction from coordinated attempts across many users, then trigger proportionate actions such as investigation, user protection, access review, and escalation. This supports operational resilience, IAM control assurance, SOC readiness, and compliance evidence around access monitoring.
Technical view
SOC and detection teams should treat this as an identity-provider analytic focused on short-window patterns of password spraying or brute force across a user pool. Because ATT&CK does not provide detection logic for this analytic, teams should validate local thresholds, time windows, user-count logic, source characteristics, and enrichment rather than assume coverage. IR teams should confirm that alerts preserve enough context to reconstruct affected accounts, source infrastructure, timing, authentication result, and follow-on successful logins if present.
Likely telemetry
- Identity provider authentication logs
- Failed login events
- Successful login events following prior failures
- User account identifiers
- Source IP address or network attributes
Detection direction
- Validate that detections can aggregate failures across many user accounts within short time intervals, not only repeated failures against one account.
- Tune thresholds to local login volume, business hours, geography, workforce size, and known noisy applications to reduce false positives.
- Correlate failed authentication bursts with any subsequent successful authentications to support incident triage.
- Check blind spots where identity-provider logs are delayed, sampled, retained for too short a period, or not forwarded to the SOC.
- Ensure service accounts, legacy authentication paths, federated applications, and high-volume automated workflows are handled carefully to avoid both missed activity and alert fatigue.
Mitigation priorities
- Confirm comprehensive identity-provider logging and retention before relying on this analytic operationally.
- Review account lockout, throttling, MFA, and conditional access policies for broad password-guessing resistance.
- Establish SOC triage procedures for broad failed-login bursts, including affected-user review and escalation criteria.
- Use identity hygiene practices such as disabling stale accounts and reviewing exposed or weak credential risks where applicable.
- Maintain audit-ready evidence showing that authentication-abuse monitoring is active, tested, and periodically tuned.
Analyst notes and limits
This object is a MITRE ATT&CK detection analytic, not a technique entry. The supplied platform is Identity Provider, and the official description is limited to password spraying or brute-force attempts across a user pool within short time intervals. No relationships, tactics, analytic logic, or official detection text were supplied, so local implementation details must be derived from the organization’s identity telemetry and risk tolerance.
The source data does not specify exact thresholds, event schemas, related techniques, mitigations, detections, adversary use, or affected products. This take should be used as defensive planning guidance, not as proof of existing detection coverage or active exploitation.
Analytic 1277
Password spraying or brute force attempts across user pool within short time intervals
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
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Object version and sync metadata
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Imported snapshots across ATT&CK releases (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.0 | Current bundle | 815c2a92cf3a… |
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
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[1]
mitre-attack AN1277Open source URL
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