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VeriSIFT

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🛡️ VeriSIFT

Read-only by architecture. Self-correcting by design.

A typed-MCP incident-response agent that makes evidence spoliation impossible instead of merely forbidden — and catches its own hallucinations before a human ever sees them.

Python · Model Context Protocol · SANS SIFT Workstation · DFIR

Architectural pattern: Custom MCP Server (#2) ⊕ Persistent Learning Loop (#7) — fused, not stacked.

⚡ The 30-second pitch

Protocol SIFT proves an AI agent can triage a disk image at machine speed. But its evidence guardrail is a prompt — the model is told not to modify evidence. "The model was instructed not to" is not a chain-of-custody guarantee you can defend in court.

VeriSIFT moves the guarantee from instruction to construction:

Prompt-based agent

VeriSIFT

Can it delete evidence?

Told not to

❌ No write path exists in the code

Writable image?

Trusts the prompt

🔒 Refuses to start (fail-closed)

Does it know when it's wrong?

No

✅ Drops unsupported claims, labels inferences

Can a juror trace a finding?

No

📒 Every tool call → one JSONL audit record

Related MCP server: agentropix-mcp

🎬 What a real run looks like

A genuine, computed (not scripted) correlation across three independent forensic artifacts:

STAGE 5 — final report  [honest: only what the artifacts support]
  [CONFIRMED] execution notepad.exe      conf=1.0  supports=['amcache', 'evtx_4688', 'prefetch']
  [INFERRED ] logon     Administrator    conf=0.5  supports=['evtx_4624']

  injected test claim dropped: 1   (EVILCORP.EXE — no corroborating artifact, caught by the verifier)

  iteration trace:
    iter 1:  confirmed=0  inferred=2  dropped=1   (hallucination caught)
    iter 2:  confirmed=1  inferred=1  dropped=0   (notepad corroborated → confirmed)

  • notepad.exe is marked confirmed only because correlate() mechanically matched its basename across a real Event ID 4688 process-create and a real Amcache entry (plus a third prefetch source). Discount any single source and it is still confirmed on two.

  • Administrator logon stays honestly inferred — single-source (4624), not inflated.

  • EVILCORP.EXE is an explicitly-labeled synthetic claim with no backing artifact — the verifier drops it automatically. That is the self-correction, on camera.

🏗️ Architecture

Full-resolution: docs/architecture.svg · docs/architecture.png

Key design principle: the agent cannot reach evidence except through typed tools. No write path exists in code — this is architectural, not a prompt instruction.

        ┌────────────┐   typed tool calls    ┌────────────────────┐
        │  Agent     │ ───────────────────►  │  VeriSIFT MCP      │
        │ (Claude    │                       │  server.py         │
        │  Code)     │ ◄─────────────────── │  • open_evidence   │
        └─────┬──────┘   structured JSON      │  • parse_evtx      │
              │ findings                      │  • get_amcache     │
              ▼                               │  • extract_mft_…   │
        ┌────────────┐                        │  • analyze_prefetch│
        │ verify.py  │  cross-artifact        └─────────┬──────────┘
        │ gate+loop  │  corroboration                   │ read-only
        └─────┬──────┘                          ┌───────▼────────┐
              │ iteration traces                │ evidence.py    │
              ▼                                  │ O_RDONLY +     │
        ┌────────────┐                          │ fail-closed    │
        │ audit.py   │  JSONL execution log     └───────┬────────┘
        └────────────┘                          ┌───────▼────────┐
                                                 │ parsers.py →   │
                                                 │ TSK / regipy / │
                                                 │ pyscca / evtx  │
                                                 └───────┬────────┘
                                                  read-only image
   ═══ trust boundary ══════════════════════════════════════════════
   The agent cannot reach the image except through typed tools.
   No write path exists in code. This is ARCHITECTURAL, not a prompt.

🔬 The two layers, locked together

1 · Typed MCP server — the architectural guardrail

Instead of a generic execute_shell, the agent gets only five typed, read-only tools. A destructive command can't be issued because that capability does not exist in the server.

  • Evidence opened O_RDONLY; fails closed if any write bit is set (evidence.py).

  • Image SHA-256 hashed at open; re-hashable to prove integrity before/after.

2 · Self-correcting verification loop — the learning layer

The agent proposes findings as structured claims. The gate cross-checks each against independent artifacts and assigns a verdict:

Corroborating artifacts

Verdict

Confidence

0 — nothing backs it

unsupported → dropped (hallucination caught)

0.0

1 — single source

inferred (labeled honestly)

0.5

2

confirmed

0.75

3

confirmed

1.0

Conflicts trigger a tightened re-run, capped at 4 iterations to prevent runaway execution. Every iteration is logged.

The novel contribution: the typed-tool boundary makes corroboration mechanically checkable, and the loop makes the typed tools self-correcting. Neither half delivers both evidence-integrity and self-correction alone.

🧰 The five tools

Tool

Backed by

Returns

open_evidence(path)

evidence.py (O_RDONLY, SHA-256)

metadata + read_only: true

parse_evtx(channel, event_ids)

python-evtx

structured event records

get_amcache(name_contains?)

regipy

name · sha1 · first_seen · path · registry_key

extract_mft_timeline(start?, end?)

MFTECmd (EZ Tools)

path · created · modified · accessed · entry · size

analyze_prefetch(executable?)

pyscca (libscca)

name · run_count · last_run_times · source_pf

All four parsers are verified against real artifacts with per-record try/except so one corrupt record never aborts a parse.

🚀 Quick start

# 1. Install dependencies (SANS SIFT Workstation)
pip3 install -r requirements.txt   # mcp · regipy · python-evtx · pyscca
#    plus MFTECmd (EZ Tools / dotnet) and The Sleuth Kit on PATH

# 2. Make evidence read-only — fail-closed enforcement
chmod 0444 /path/to/evidence.E01

# 3. Run the end-to-end demo (drives the real MCP tools + verify loop)
VERISIFT_LOG=./exports/execution_log.jsonl python3 demo_investigation.py

Watch the audit trail stream live (Terminal 1):

export VERISIFT_LOG=./exports/execution_log.jsonl
rm -f "$VERISIFT_LOG"; touch "$VERISIFT_LOG"
echo "VeriSIFT audit trail — live:"; tail -f "$VERISIFT_LOG"

📂 Repository layout

verisift/
├── server.py                 # FastMCP server — 5 typed tools
├── evidence.py               # Read-only guardrail (O_RDONLY, fail-closed, SHA-256)
├── parsers.py                # 4 verified parsers + correlate() corroboration engine
├── verify.py                 # Classification + bounded self-correction loop
├── audit.py                  # JSONL execution log (run_id, seq, duration)
├── demo_investigation.py     # End-to-end demo driver (real tools, computed correlation)
├── ACCURACY_REPORT.md        # Self-assessed accuracy + integrity proof
├── PROJECT_DESCRIPTION.md    # Inspiration · build · lessons
├── analysis/
│   └── make_test_prefetch.py # Builds the synthetic .pf (transparent provenance)
└── test_data/                # Minimal reproducibility fixtures (see provenance below)
    ├── evtx/  · amcache/  · mft/  · prefetch/

Test-data provenance (full honesty for judges)

Artifact

Real / Synthetic

Source

EVTX (NTLM2SelfRelay-…evtx)

Real

sbousseaden/EVTX-ATTACK-SAMPLES (med0x2e capture)

Amcache (amcache.hve)

Real

regipy validated Win10 hive (contains notepad.exe)

MFT (MFT_extracted.bin)

Real

$MFT carved from a synthetic NTFS image

Prefetch (NOTEPAD.EXE-…pf)

Synthetic

Byte-accurate v30, built from the libscca spec, parsed by real pyscca

The [CONFIRMED] verdict rests on two real, independent artifacts (EVTX 4688 + Amcache). The synthetic prefetch is only a third corroborator — disclosed, never load-bearing.

Full sources, SHA-256 hashes, and reproduction steps: DATASET.md.

🎯 Why this wins on the rubric

Judging criterion

How VeriSIFT addresses it

Autonomous Execution (tiebreaker)

Loop re-runs and tightens parameters with no human input.

IR Accuracy

Multi-artifact corroboration drops hallucinations; single-source labeled inferred.

Constraint Implementation

No shell tool exists; evidence O_RDONLY, fails closed if writable.

Audit Trail

Every tool call → one JSONL record: run_id, seq, timestamp, duration.

Breadth & Depth

Deep on disk artifacts with genuine cross-artifact correlation (MFT × prefetch × amcache × EVTX).

⚖️ Honest limitations

Scope is disk-image artifacts by design — depth over breadth. Corroboration rules are heuristic; a determined anti-forensic actor could defeat cross-artifact agreement. Accuracy depends on the underlying court-vetted parsers. See ACCURACY_REPORT.md for measured counts rather than claims.

📜 License

MIT.

This server cannot be installed

A
license - permissive license
-
quality - not tested
B
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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