diff --git a/README.md b/README.md index 1e298d7..8c2473f 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,7 @@ Despite this, models are not scanned with the rigor of a PDF file in your inbox. This needs to change, and proper tooling is the first step. -![ModelScan Preview](https://github.com/protectai/modelscan/raw/main/imgs/modelscan_hf_demo.gif) +![ModelScan Preview](/imgs/modelscan-unsafe-model.gif) ModelScan is an open source project that scans models to determine if they contain unsafe code. It is the first model scanning tool to support multiple model formats. @@ -34,12 +34,6 @@ With it installed, scan a model: modelscan -p /path/to/model_file.h5 ``` -Or if you want to scan all the models in a Hugging Face Repository: - -```bash -modelscan -hf owner/model-repository-name -``` - ## Why You Should Scan Models Models are often created from automated pipelines, others may come from a data scientist’s laptop. In either case the model needs to move from one machine to another before it is used. That process of saving a model to disk is called serialization. @@ -75,8 +69,7 @@ ModelScan ranks the unsafe code as: * MEDIUM * LOW -Things are ranked consistently if the models are local or stored in Hugging Face -![ModelScan Flow Chart](https://github.com/protectai/modelscan/raw/main/imgs/model_scan_flow_chart.png) +![ModelScan Flow Chart](/imgs/model_scan_flow_chart.png) If an issue is detected, reach out to the author's of the model immediately to determine the cause. @@ -123,7 +116,7 @@ ModelScan supports the following arguments via the CLI: | ```modelscan -h ``` | -h or --help | View usage help | | ```modelscan -v ``` | -v or --version | View version information | | ```modelscan -p /path/to/model_file```| -p or --path | Scan a locally stored model | -| ```modelscan -hf repo/model_file``` |-hf or --huggingface | Scan all the models in a Hugging Face model repository| + Remember models are just like any other form of digital media, you should scan content from any untrusted source before use. diff --git a/imgs/model_scan_flow_chart.png b/imgs/model_scan_flow_chart.png index 432de3a..000fff5 100644 Binary files a/imgs/model_scan_flow_chart.png and b/imgs/model_scan_flow_chart.png differ diff --git a/imgs/modelscan-unsafe-model.gif b/imgs/modelscan-unsafe-model.gif new file mode 100644 index 0000000..fc9e127 Binary files /dev/null and b/imgs/modelscan-unsafe-model.gif differ diff --git a/imgs/modelscan_hf_demo.gif b/imgs/modelscan_hf_demo.gif deleted file mode 100644 index 3acdbea..0000000 Binary files a/imgs/modelscan_hf_demo.gif and /dev/null differ diff --git a/modelscan/cli.py b/modelscan/cli.py index 656980f..bd61d51 100644 --- a/modelscan/cli.py +++ b/modelscan/cli.py @@ -35,16 +35,6 @@ def format_usage(self, ctx: click.Context, formatter: click.HelpFormatter) -> No default=None, help="Path to the file or folder to scan", ) -# @click.option( -# "-u", "--url", type=str, default=None, help="URL to the file or folder to scan" -# ) -@click.option( - "-hf", - "--huggingface", - type=str, - default=None, - help="Name of the Hugging Face model to scan", -) @click.option( "-l", "--log", @@ -62,8 +52,6 @@ def format_usage(self, ctx: click.Context, formatter: click.HelpFormatter) -> No def cli( ctx: click.Context, log: str, - # url: Optional[str], - huggingface: Optional[str], path: Optional[str], show_skipped: bool, ) -> int: @@ -80,14 +68,9 @@ def cli( raise FileNotFoundError(f"Path {path} does not exist") else: modelscan.scan_path(pathlibPath) - # elif url is not None: - # modelscan.scan_url(url) - elif huggingface is not None: - modelscan.scan_huggingface_model(huggingface) + else: - raise click.UsageError( - "Command line must include either a path or a Hugging Face model" - ) + raise click.UsageError("Command line must include a path") ConsoleReport.generate( modelscan.issues, modelscan.errors, diff --git a/modelscan/modelscan.py b/modelscan/modelscan.py index 77ab30a..9da9a9f 100644 --- a/modelscan/modelscan.py +++ b/modelscan/modelscan.py @@ -14,7 +14,7 @@ from modelscan.models.keras.scan import KerasScan from modelscan.models.scan import ScanBase from modelscan.tools.utils import _is_zipfile -from modelscan.utils import fetch_huggingface_repo_files, read_huggingface_file + logger = logging.getLogger("modelscan") @@ -61,52 +61,6 @@ def _scan_directory(self, directory_path: Path) -> None: if not path.is_dir(): self.scan_path(path) - def scan_huggingface_model(self, repo_id: str) -> None: - # List model files - file_names = fetch_huggingface_repo_files(repo_id) - if not file_names: - logger.error(f"Hugging face repo {repo_id} didn't return any files") - return - - for file_name in file_names: - fq_file_name = f"{repo_id}/{file_name}" - file_ext = os.path.splitext(file_name)[1] - if ( - file_ext not in self.supported_extensions - and file_ext not in self.supported_zip_extensions - ): - logger.debug(f"Skipping: {fq_file_name} is not supported") - self._skipped.append(fq_file_name) - continue - - raw_bytes = read_huggingface_file(repo_id, file_name) - if not raw_bytes: - logger.debug(f"Skipping: Failed to read {fq_file_name}") - self._skipped.append(fq_file_name) - continue - - data = io.BytesIO(raw_bytes) - if ( - _is_zipfile(source=fq_file_name, data=data) - or file_ext in self.supported_zip_extensions - ): - try: - self._scan_zip(source=fq_file_name, data=data) - except: - logger.debug(f"Skipped: Failed to read") - else: - self._scan_source(source=fq_file_name, extension=file_ext, data=data) - - def scan_url(self, url: str) -> None: - # Todo: before it was just scanning scanning_pickle_bytes - # We need to validate this url and determine what type of file it is - # self._scan_bytes( - # data=io.BytesIO(_http_get(url)), - # source=url, - # extension=file_ext, - # ) - pass - def _scan_source( self, source: Union[str, Path], diff --git a/modelscan/utils.py b/modelscan/utils.py deleted file mode 100644 index ed7b504..0000000 --- a/modelscan/utils.py +++ /dev/null @@ -1,53 +0,0 @@ -import requests -import logging -import json -from typing import Union, Optional, Generator, List, Tuple - -logger = logging.getLogger("modelscan") - - -def fetch_url(url: str, allow_redirect: bool = False) -> Union[None, bytes]: - try: - response = requests.get(url, allow_redirects=allow_redirect, timeout=10) - response.raise_for_status() - return response.content - except requests.exceptions.HTTPError as e: - logger.error("Error with request: %s", e.response.status_code) - logger.error(e.response.text) - return None - except requests.exceptions.JSONDecodeError as e: - logger.error("Response was not valid JSON") - return None - except requests.exceptions.Timeout as e: - logger.error("Request timed out") - return None - except Exception as e: - logger.error("Unexpected error during request to %s: %s", url, str(e)) - return None - - -def fetch_huggingface_repo_files( - repo_id: str, -) -> Union[None, List[str]]: - # Return list of model files - url = f"https://huggingface.co/api/models/{repo_id}" - data = fetch_url(url) - if not data: - return None - - try: - model = json.loads(data.decode("utf-8")) - filenames = [] - for sibling in model.get("siblings", []): - if sibling.get("rfilename"): - filenames.append(sibling.get("rfilename")) - return filenames - except json.decoder.JSONDecodeError as e: - logger.error(f"Failed to parse response for HuggingFace model repo {repo_id}") - - return None - - -def read_huggingface_file(repo_id: str, file_name: str) -> Union[None, bytes]: - url = f"https://huggingface.co/{repo_id}/resolve/main/{file_name}" - return fetch_url(url, True) diff --git a/poetry.lock b/poetry.lock index f5a5bad..98acccc 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,122 +2,110 @@ [[package]] name = "absl-py" -version = "1.4.0" +version = "2.0.0" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = true -python-versions = ">=3.6" +python-versions = ">=3.7" files = [ - {file 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version = "1.7.5", extras = ["toml"] } mypy = "^1.4.1" +requests = "^2.31.0" aiohttp = "^3.8.5" dill = "^0.3.7" types-requests = ">1.26" diff --git a/tests/test_modelscan.py b/tests/test_modelscan.py index c6a7885..9a8ed78 100644 --- a/tests/test_modelscan.py +++ b/tests/test_modelscan.py @@ -760,26 +760,6 @@ def test_scan_directory_path(file_path: str) -> None: compare_results(ms.issues.all_issues, expected) -def test_scan_huggingface_model() -> None: - expected = { - Issue( - IssueCode.UNSAFE_OPERATOR, - IssueSeverity.CRITICAL, - OperatorIssueDetails( - "__builtin__", - "eval", - "ykilcher/totally-harmless-model/pytorch_model.bin:archive/data.pkl", - ), - ) - } - ms = Modelscan() - ms.scan_huggingface_model("ykilcher/totally-harmless-model") - compare_results(ms.issues.all_issues, expected) - - -# def test_scan_tf() -> None: - - @pytest.mark.parametrize("file_extension", [".h5", ".keras"], ids=["h5", "keras"]) def test_scan_keras(keras_file_path: Any, file_extension: str) -> None: ms 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