Publish Layerfault synthetic corpus LF-CORPUS-TRT-0001
Browse files- LAYERFAULT_CORPUS.json +19 -0
- README.md +55 -0
- SHA256SUMS.json +17 -0
- model.engine +1 -0
LAYERFAULT_CORPUS.json
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{
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"candidate_rules": [],
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"corpus_id": "LF-CORPUS-TRT-0001",
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"description": "TensorRT artifact below magic-header size.",
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"expected_rules": [
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"LF-TENSORRT-TRUNCATED"
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],
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"generator": "formats.tensorrt_truncated",
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"ground_truth": "synthetic-generated",
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"must_not_rules": [],
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"repo_name": "tensorrt-truncated",
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"repo_type": "model",
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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.engine"
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}
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}
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README.md
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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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# tensorrt-truncated
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> **SECURITY TEST ARTIFACT — DO NOT USE AS A PRODUCTION MODEL**
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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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**Corpus ID:** `LF-CORPUS-TRT-0001`
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## Purpose
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TensorRT artifact below magic-header size.
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## Direct expected Layerfault rules
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- `LF-TENSORRT-TRUNCATED`
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## Candidate rules
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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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- None
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## Negative-control rules
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These should remain silent for this corpus item.
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- None
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## Safety
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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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SHA256SUMS.json
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[
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{
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"path": "LAYERFAULT_CORPUS.json",
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"sha256": "7289ad07ef86d7b1cd07b38820c91051b39c3045d1c6e1bb545fff238e4df2bb",
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"size": 477
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},
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{
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"path": "README.md",
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"sha256": "b847be0e94a8d818d06d1865113ddb410c4e5bf4939b9094a304d51827e5633e",
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"size": 1646
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},
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{
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"path": "model.engine",
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"sha256": "22ca9cf39e4466983a65465a5510483eb2b4893d2287204eb4addeca68a872fe",
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"size": 2
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}
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]
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model.engine
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TR
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