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MicrosoftKnown publishermicrosoft/win-dev-skills/plugins/windbg/skills/windbg-user-virtual-memory-exhaustion/SKILL.md

windbg-user-virtual-memory-exhaustion

Skill469 starsChanged 36 days agoMITView on GitHub

Use when a native app, service, or user-mode driver host allocation fails; distinguish VA exhaustion, fragmentation, and commit pressure. Not for managed .NET heap growth, proving a leak from one snapshot, or corruption.

The file

We split this skill into the rules it gives an agent

7 rules. About 0 are common, 3 are distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Load windbg-diagnostic-method first: if it is not already loaded in this conversation, and apply it throughout for evidence ranking, …

    line 8
  2. Very specific:

    Use contemporaneous system memory counters or an appropriate live/kernel session for system commit data.

    line 49
  3. Very specific:

    Use !address -? and !heap -?

    line 67
  4. Distinctive:

    Use RAII to release resources on all supported exit/error paths.

    line 88
  5. Distinctive:

    Do not blindly increase limits or stack reservations before finding the pressure source, and do not convert a failed allocation into a …

    line 90
  6. Distinctive:

    Verify memory remains bounded or the intended allocation succeeds under the required constraints.

    line 97
  7. Very specific:

    Follow FEEDBACK.md and submit reviewed, sanitized feedback to WinDbg-Feedback.

    line 110

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Virtual Memory Exhaustion

Load windbg-diagnostic-method first if it is not already loaded in this conversation, and apply it throughout for evidence ranking, hypothesis testing, confidence calibration, independent review, and report validation. This skill adds the bug-family-specific commands and evidence requirements.

Detection

Investigate E_OUTOFMEMORY (0x8007000E), STATUS_NO_MEMORY (0xC0000017), bad_alloc, or failed heap/virtual allocations in an application, service, or user-mode driver host (including UMDF). Record the actual API, requested size/alignment, architecture, flags, and error. Free physical RAM does not rule out insufficient virtual address space, commit pressure, or applicable limits.

Workflow

1. Examine the process VA map

!address -summary
!address
!heap -s

Compare available regions with the attempted allocation's contiguous range and alignment requirements. Distinguish reserved, committed, free, image, mapped, stack, and heap ranges. A large reservation consumes VA without committing its entire range. Heap internals may require more than the user's requested bytes.

Report unavailable pages/map data rather than inferring completeness from a limited dump.

2. Separate pressure mechanisms

MechanismEvidence needed
VA exhaustionProcess address range/architecture and little usable free VA
FragmentationFree space exists, but no suitable contiguous/aligned region
System commit pressureCommit usage/limit near the failure, not just free RAM
Process/job memory limitActual configured limit and relevant usage/accounting
Allocation policy/API failureAPI-specific constraints, flags, or allocator policy

Use contemporaneous system memory counters or an appropriate live/kernel session for system commit data. A process PEB is not a documented MaximumCommit source. A process's committed bytes alone do not establish a system-wide or job limit.

For 32-bit targets inspect /LARGEADDRESSAWARE and the host architecture; 2 GB versus up to 4 GB depends on those settings. Verify current documented limits for the target Windows version and architecture instead of applying one 64-bit limit to every system.

3. Identify dominant consumers

!address -f:Heap
!address -f:Stack
!heap -stat -h <heap-address>

Use !address -? and !heap -? for allocator/version-specific support. Classify dominant heaps, stacks, mappings, images, and reserved arenas. Large or numerous allocations are not automatically leaks: map them to cache policy, owners, workload, and expected lifetimes.

4. Establish growth with history

Collect authorized time-series counters, repeated comparable snapshots, or allocation/free tracing across the workload. Compare warm-up with steady-state behavior and verify whether memory is reclaimed when work finishes.

One snapshot plus process uptime cannot prove a leak rate. For a suitable user-mode recording use windbg-user-ttd-reverse-debugging-triage; for damaged allocations use windbg-user-heap-corruption-investigation instead.

Fix patterns

  • Bound caches by an appropriate size/cost policy and verify eviction. Define the lifetime of any references returned before eviction.
  • Match VirtualAlloc reservations with the correct VirtualFree release contract; distinguish decommit from release.
  • Use RAII to release resources on all supported exit/error paths.
  • Reduce large contiguous allocation requirements where the design permits.
  • Do not blindly increase limits or stack reservations before finding the pressure source, and do not convert a failed allocation into a silent success.

Validation

Name the failing allocation and pressure mechanism, identify the consumer with evidence, and exercise the remedy through warm-up, sustained load, and cleanup. Verify memory remains bounded or the intended allocation succeeds under the required constraints. Document configured system/job limits separately.

References

Feedback

Follow FEEDBACK.md and submit reviewed, sanitized feedback to WinDbg-Feedback. Include windbg-user-virtual-memory-exhaustion and the package version from plugin.json; no automatic dump or memory-content upload.

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