MA
Muhammad AldiansyahBlue Team Defense Hub
Evidence-led defense

Memory Forensics

Use volatile-memory evidence to investigate processes, injected code, credentials exposure, and network activity.

On this page · 4 sections
01

Operating context

Memory analysis can reveal state absent from disk, but acquisition changes the host and interpretation depends on a trustworthy profile and corroborating evidence.

  • Define the security decision that memory forensics must support.
  • Assign accountable owners, escalation paths, service levels, and privacy boundaries.
  • Measure signal quality, response consistency, operational cost, and improvement over time.
02

Operational workflow

  1. 01

    Establish scope, dependencies, normal behavior, and a documented baseline.

  2. 02

    Collect the minimum telemetry and context needed for memory forensics.

  3. 03

    Correlate independent signals and state confidence before taking disruptive action.

  4. 04

    Document the decision, evidence, containment or control action, and responsible owner.

  5. 05

    Review the outcome, tune the process, and validate the improvement with a safe test.

03

Signals, evidence & decisions

Signal or artifactDecision it supports
memory image hash and acquisition notesEstablish event sequence and affected scope.
process, module, handle, and network viewsConfirm identity, asset, or control context.
correlated endpoint and identity timelineSupport containment, recovery, or tuning.

Record source, timestamp, collection method, confidence, owner, and disposition. Preserve the smallest useful evidence set and document any uncertainty.

04

Implementation & improvement

  • Acquire with validated tools and sufficient storage.
  • Preserve chain of custody and original image.
  • Treat plugin output as leads requiring corroboration.

Official references

NIST SP 800-61 Rev. 3CISA Incident Response Playbooks