Publish Layerfault synthetic corpus LF-CORPUS-PY-0001
Browse files- LAYERFAULT_CORPUS.json +39 -0
- README.md +75 -0
- SHA256SUMS.json +32 -0
- canary.npy +3 -0
- config.json +6 -0
- model.safetensors +3 -0
- modeling_security.py +24 -0
LAYERFAULT_CORPUS.json
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{
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"candidate_rules": [],
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"corpus_id": "LF-CORPUS-PY-0001",
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"description": "HF-style custom loader containing harmless process, native-load, loopback-network, credential, filesystem, dynamic-code, package-manager and NumPy allow_pickle call sites.",
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"expected_rules": [
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"LF-CODE-AUTO-MAP",
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"LF-CODE-SUBPROCESS",
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"LF-PY-CALL-PROCESS",
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"LF-CORR-HF-LOADER-PROCESS",
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"LF-CODE-CTYPES",
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"LF-PY-NATIVE-LOAD",
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"LF-CORR-HF-LOADER-NATIVE-LOAD",
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"LF-CODE-NETWORK",
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"LF-PY-CALL-NETWORK",
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"LF-CORR-HF-LOADER-NETWORK",
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"LF-PY-CREDENTIAL-ACCESS",
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"LF-CORR-HF-LOADER-CREDENTIALS",
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"LF-PY-FILESYSTEM-MUTATION",
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"LF-CORR-HF-LOADER-FILESYSTEM",
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"LF-CODE-EVAL",
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"LF-PY-CALL-DYNAMIC-CODE",
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"LF-CORR-HF-LOADER-DYNAMIC-CODE",
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"LF-PY-PACKAGE-INSTALL",
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"LF-CORR-HF-LOADER-INSTALL",
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"LF-PY-NUMPY-ALLOW-PICKLE",
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"LF-CORR-NUMPY-ALLOW-PICKLE"
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],
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"generator": "packages.python_capability_chain",
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"ground_truth": "synthetic-generated",
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"must_not_rules": [],
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"repo_name": "python-custom-loader-capability-chain",
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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": "verify-package",
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"target": "."
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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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# python-custom-loader-capability-chain
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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-PY-0001`
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## Purpose
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HF-style custom loader containing harmless process, native-load, loopback-network, credential, filesystem, dynamic-code, package-manager and NumPy allow_pickle call sites.
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## Direct expected Layerfault rules
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- `LF-CODE-AUTO-MAP`
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- `LF-CODE-SUBPROCESS`
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- `LF-PY-CALL-PROCESS`
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- `LF-CORR-HF-LOADER-PROCESS`
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- `LF-CODE-CTYPES`
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- `LF-PY-NATIVE-LOAD`
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- `LF-CORR-HF-LOADER-NATIVE-LOAD`
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- `LF-CODE-NETWORK`
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- `LF-PY-CALL-NETWORK`
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- `LF-CORR-HF-LOADER-NETWORK`
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- `LF-PY-CREDENTIAL-ACCESS`
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- `LF-CORR-HF-LOADER-CREDENTIALS`
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- `LF-PY-FILESYSTEM-MUTATION`
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- `LF-CORR-HF-LOADER-FILESYSTEM`
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- `LF-CODE-EVAL`
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- `LF-PY-CALL-DYNAMIC-CODE`
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- `LF-CORR-HF-LOADER-DYNAMIC-CODE`
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- `LF-PY-PACKAGE-INSTALL`
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- `LF-CORR-HF-LOADER-INSTALL`
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- `LF-PY-NUMPY-ALLOW-PICKLE`
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- `LF-CORR-NUMPY-ALLOW-PICKLE`
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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": "41577c4a141aad1344fdb2fb9afc177e15e652e6ce9cc8d83fd1a2687375e27f",
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"size": 1226
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},
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{
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"path": "README.md",
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"sha256": "c72ca9fd42263eb1c8a25364ee92f218283b12efef5c7325197b89056839ad83",
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"size": 2333
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},
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{
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"path": "canary.npy",
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"sha256": "0398209604f3b7330658ab31021254f5e931e0680b450547a1513414acb1a4d3",
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"size": 140
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},
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{
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"path": "config.json",
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"sha256": "6066bb9115444d01d760f2901486df17c3b598f90fea1e65be05454bbb2ce950",
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"size": 134
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},
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{
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"path": "model.safetensors",
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"sha256": "d2ca18b298651a52fc6fc6d7cf90df5a4b05586832277686f5681ee524af58b0",
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"size": 856
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},
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{
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"path": "modeling_security.py",
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"sha256": "5a13f287db0e01aeaf75991bf3e7ff0552a4789e7f0c700312bdc044349c84b1",
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"size": 962
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}
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]
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canary.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:0398209604f3b7330658ab31021254f5e931e0680b450547a1513414acb1a4d3
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size 140
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config.json
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{
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"auto_map": {
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"AutoModel": "modeling_security.LayerfaultSecurityFixture"
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},
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"model_type": "layerfault_security_fixture"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2ca18b298651a52fc6fc6d7cf90df5a4b05586832277686f5681ee524af58b0
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size 856
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modeling_security.py
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from __future__ import annotations
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import ctypes, os, pathlib, socket, subprocess, sys, tempfile
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import numpy as np
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class LayerfaultSecurityFixture:
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@classmethod
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def from_pretrained(cls, *args, **kwargs):
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subprocess.run(["/bin/echo", "LAYERFAULT_CANARY"], check=False)
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ctypes.CDLL(None)
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os.environ.get("LAYERFAULT_SYNTHETIC_API_KEY")
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canary_path = pathlib.Path(tempfile.gettempdir(), "layerfault-corpus-canary")
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canary_path.write_text("canary")
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try:
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socket.create_connection(("127.0.0.1", 9), timeout=0.01)
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except OSError:
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pass
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eval("1 + 1", {"__builtins__": {}}, {})
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subprocess.run([sys.executable, "-m", "pip", "--version"], check=False)
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subprocess.run(["pip", "install", "layerfault-synthetic-canary"], check=False)
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try:
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np.load("canary.npy", allow_pickle=True)
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except Exception:
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pass
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return cls()
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