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AIDebug v1.1.0

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@anpa1200 anpa1200 released this 15 Jun 17:41
· 1 commit to main since this release
v1.1.0
0aa5f05

AIDebug v1.1.0 Release Notes

Release date: 2026-06-15

Summary

AIDebug v1.1.0 is a maturity and evidence release. It does not claim that the
project is broadly adopted yet; it makes the project easier for maintainers,
packagers, malware analysts, and curated-list reviewers to evaluate.

What Changed

  • Added reviewer-facing documentation for safety, validation, comparisons,
    sample evidence, and curated-list resubmission readiness.
  • Added safe mock outputs for JSON, YARA, and HTML report review.
  • Added screenshots that show the TUI, behavioral patterns, CFG view, pattern
    detection output, and four-panel workflow.
  • Expanded deterministic tests for pattern detection and JSON export.
  • Clarified that ATT&CK mappings, YARA rules, and reports are analyst-review
    seed material, not final operational truth.

Reviewer Evidence

  • README.md: maturity evidence table, screenshots, install flow, limitations.
  • docs/sample-evidence.md: safe inputs, mock outputs, screenshots, packaging
    evidence.
  • docs/validation-plan.md: validation plan and quality checks.
  • docs/safety-model.md: safe usage boundaries.
  • docs/curated-list-resubmission-plan.md: what must improve before
    resubmitting to strict curated lists.

Verification

python3 -m pytest -q
python3 -m build
python3 -m twine check dist/*

Expected test result for this release: 7 passed.

Known Limits

  • The project is still young and should not be resubmitted to strict curated
    lists until there is more release history, external usage evidence, and
    regular maintenance signal.
  • Dynamic analysis must be run only in an isolated, authorized malware-analysis
    lab.
  • AI-backed output requires analyst validation before detection or reporting
    use.
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