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Publish Layerfault deep challenge LF-CH-FMTX-0010

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CHALLENGE_ORACLE.json ADDED
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+ {
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+ "attack_surface": [
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+ "model-format-structure"
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+ ],
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+ "control_type": "positive",
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+ "corpus_id": "LF-CH-FMTX-0010",
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+ "difficulty": "adversarial",
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+ "expected_decision": "BLOCK",
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+ "ground_truth": "synthetic-generated",
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+ "layerfault_rule_expectations": {
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+ "candidate_rules": [],
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+ "expected_rules": [
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+ "LF-ONNX-CUSTOM-OP"
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+ ],
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+ "must_not_rules": []
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+ },
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+ "oracle_ids": [
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+ "LF-ORACLE-FMTX-0010"
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+ ],
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+ "related_cases": [],
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+ "repo_name": "format-onnx-custom-domain",
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+ "safe_fixture": true,
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+ "schema": 2,
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+ "severity": "critical",
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+ "techniques": [
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+ "onnx"
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+ ],
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+ "transformations": []
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+ }
FIXTURE_LAYOUT.json ADDED
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+ {
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+ "artifacts": [
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+ "model.onnx"
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+ ],
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+ "family": "format",
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+ "note": "All content is synthetic and inert. Do not treat this as a production model.",
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+ "repo_name": "format-onnx-custom-domain"
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+ }
LAYERFAULT_CORPUS.json ADDED
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+ {
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+ "candidate_rules": [],
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+ "challenge": {
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+ "attack_surface": [
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+ "model-format-structure"
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+ ],
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+ "control_type": "positive",
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+ "difficulty": "adversarial",
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+ "expected_decision": "BLOCK",
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+ "oracle_ids": [
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+ "LF-ORACLE-FMTX-0010"
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+ ],
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+ "related_cases": [],
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+ "severity": "critical",
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+ "techniques": [
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+ "onnx"
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+ ],
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+ "transformations": []
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+ },
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+ "corpus_id": "LF-CH-FMTX-0010",
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+ "description": "Format onnx custom domain.",
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+ "expected_rules": [
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+ "LF-ONNX-CUSTOM-OP"
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+ ],
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+ "generator": "challenges.generate_challenge",
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+ "ground_truth": "synthetic-generated",
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+ "must_not_rules": [],
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+ "repo_name": "format-onnx-custom-domain",
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+ "repo_type": "model",
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+ "safe_fixture": true,
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+ "safety": "inert/canary-only",
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+ "schema": 1,
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+ "validation": {
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+ "kind": "inspect",
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+ "target": "model.onnx"
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+ }
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+ }
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - layerfault
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+ - security-research
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+ - model-security
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+ - synthetic
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+ - adversarial-testing
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+ extra_gated_prompt: >-
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+ This repository is a synthetic security-test artifact from the Layerfault
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+ corpus. It intentionally contains adversarial characteristics (e.g.
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+ suspicious pickle opcodes, executable-format smuggling, prompt-injection
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+ strings) designed to exercise security scanner detection rules. It is
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+ **not** a usable ML model and must never be loaded or executed outside an
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+ isolated scanner-testing environment. By accepting, you confirm you
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+ understand this repository is a test fixture, not production model
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+ weights.
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+ extra_gated_button_content: I understand this is a security test fixture and accept the risk
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+ gated: auto
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+ ---
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+
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+ # format-onnx-custom-domain
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+
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+ > **SECURITY TEST ARTIFACT: DO NOT USE AS A PRODUCTION MODEL**
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+
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+ This repository is part of the Layerfault synthetic security corpus.
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+ It is deliberately constructed to contain security-relevant characteristics for scanner testing.
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+
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+ **Corpus ID:** `LF-CH-FMTX-0010`
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+
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+ ## Purpose
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+
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+ Format onnx custom domain.
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+
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+ ## Direct expected Layerfault rules
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+
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+ - `LF-ONNX-CUSTOM-OP`
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+
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+ ## Candidate rules
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+
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+ These are deliberately plausible targets that remain marked as candidates until the exact
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+ Layerfault build used for certification confirms them.
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+
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+ - None
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+
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+ ## Negative-control rules
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+
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+ These should remain silent for this corpus item.
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+
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+ - None
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+
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+ ## Safety
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+
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+ The corpus uses fake secrets, loopback/`.invalid` network destinations, harmless marker output,
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+ and synthetic model behavior only. It is intended for static scanning and isolated security testing.
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+
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+ ## Challenge classification
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+
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+ - Severity: **critical**
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+ - Difficulty: **adversarial**
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+ - Expected admission decision: **BLOCK**
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+ - Control type: **positive**
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+ - Attack surface: model-format-structure
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+ - Techniques: onnx
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+ - Transformations: none
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+
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+ ### Ground-truth oracle IDs
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+
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+ - `LF-ORACLE-FMTX-0010`
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+
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+ These oracle IDs describe synthetic ground truth. They do not claim that a
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+ matching Layerfault detector already exists. A challenge may intentionally expose
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+ a scanner blind spot and remain unmapped until the detector is implemented.
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model.onnx ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:f33a3bb172a1cbb59cc6fd3e113e7d2b04a9456d255589aa6178ae5b68a4e3a5
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+ size 44