AN1045: Analytic 1045
Monitor for suspicious use of Windows API calls such as IsDebuggerPresent() and NtQueryInformationProcess(), or processes manually checking the BeingDebugged flag in the Process Environment Block (PEB). Detect sequences of OutputDebugStringW() calls in short intervals that may indicate debugger flooding attempts.
Analyst context for executives and security teams
This analytic matters because it points to Windows processes trying to detect, evade, or interfere with debugging and analysis. For security leaders, the value is not that every use of these APIs is malicious, but that repeated or suspicious use can signal software attempting to resist inspection during an investigation or malware-analysis workflow.
Executive priority
Prioritize this as a SOC and incident-response readiness check for Windows environments. Leaders should ask whether endpoint telemetry can show suspicious anti-debugging behavior, whether analysts know how to triage it without over-alerting on legitimate software protection tools, and whether this evidence can support incident decisions and audit narratives around malware detection and response capability.
Technical view
For Windows endpoints, validate visibility into process behavior involving calls or patterns associated with IsDebuggerPresent(), NtQueryInformationProcess(), manual checks of the PEB BeingDebugged flag, and short-interval sequences of OutputDebugStringW() calls that may indicate debugger flooding. Because ATT&CK provides no separate detection logic and no relationship context for this analytic, teams should treat it as a behavior-focused validation target rather than a complete rule. Tune around process lineage, executable reputation, code-signing context, frequency, and whether the behavior appears during normal application execution or during suspicious process activity.
Likely telemetry
- Windows endpoint process telemetry
- Endpoint detection and response behavioral events
- API call or user-mode instrumentation telemetry where available
- Process lineage and command execution context
- Executable metadata such as path, signer, hash, and reputation
Detection direction
- Confirm whether current endpoint tooling can observe or infer the named Windows API usage and PEB BeingDebugged checks; many environments may not collect this detail by default.
- Look for suspicious sequencing rather than single API calls, especially repeated OutputDebugStringW() calls in short intervals.
- Correlate with process ancestry, unusual executable locations, unsigned or unexpected binaries, and other suspicious endpoint activity to reduce false positives.
- Account for benign software that uses anti-debugging or software-protection checks, including commercial applications, security tools, and anti-tamper mechanisms.
- Use this analytic as supporting evidence in triage rather than a standalone high-confidence malicious verdict.
Mitigation priorities
- Ensure Windows endpoint monitoring has sufficient behavioral depth for malware-analysis and incident-response use cases.
- Document known-good applications that legitimately perform anti-debugging or anti-tamper checks to support tuning.
- Integrate this signal with broader endpoint detection, malware triage, and IR workflows so analysts can escalate based on context.
- Review logging and retention coverage so suspicious process behavior remains available during investigations.
- Where visibility is limited, prioritize endpoint control and telemetry improvements before relying on this analytic for detection assurance.
Analyst notes and limits
This object is a MITRE ATT&CK detection analytic for Windows. It describes suspicious use of specific Windows debugging-related APIs and PEB checks, but provides no official detection logic, tactics, relationships, or associated techniques in the supplied data. The practical value is as a validation prompt for endpoint telemetry and triage workflows.
The supplied ATT&CK fields do not include a full detection rule, tactic mapping, related techniques, adversary relationships, or evidence of active exploitation. Local baselining is required because legitimate Windows software may use similar anti-debugging or anti-tamper behavior.
Analytic 1045
Monitor for suspicious use of Windows API calls such as IsDebuggerPresent() and NtQueryInformationProcess(), or processes manually checking the BeingDebugged flag in the Process Environment Block (PEB). Detect sequences of OutputDebugStringW() calls in short intervals that may indicate debugger flooding attempts.
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 | 642afd66a4f4… |
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 AN1045Open source URL
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