Threat Intelligence Database

NetBox Device Type Library is a collection of community-sourced device type definitions for import into NetBox. In the affected repository revisions, NETBOX_DT_LIBRARY_URL in tests/test_configuration.py is a free-form tracked constant that an unauthenticated pull-request author can change before the validation test harness runs. During pytest collection, tests/definitions_test.py passes the value to Repo.clone_from and create_remote("upstream").fetch(), causing blind Git smart-HTTP requests to an attacker-selected host or loading attacker-controlled tests/known-*.json validation caches. The blind request cannot set arbitrary metadata-service headers or return response bodies, and this path does not execute remote Git hooks, but substituted known data can bypass slug, module, and rack uniqueness validation. This vulnerability is fixed in commit 8980c690097e92f5028c7e6df402b327d827ecd5.

NetBox Device Type Library is a collection of community-sourced device type definitions for import into NetBox. The absence of tests/init.py and the lack of --import-mode=importlib cause pytest prepend import mode to place the tests directory at the front of sys.path during collection. An unauthenticated contributor can add a module such as tests/git.py that shadows GitPython when tests/definitions_test.py executes from git import Git, Repo, or add tests/conftest.py for automatic collection-time execution. Python imports and runs the pull-request module before any test function, allowing arbitrary code execution on the GitHub Actions runner, test-result tampering, and access to tokens or network resources exposed to the workflow. This module-shadowing path is independent of the earlier pickle deserialization flaw and the separately tracked NETBOX_DT_LIBRARY_URL issue. This vulnerability is fixed by commit b0d9a3dadd0a0a9d3c93b0b2777559fd4bad1037.

NetBox Device Type Library is a collection of community-sourced device type definitions for import into NetBox. The validation test harness can deserialize pull-request-controlled tracked pickle cache files through pickle.load in the read_pickle_data function in tests/pickle_operations.py. An unauthenticated contributor can change USE_LOCAL_KNOWN_SLUGS in tests/test_configuration.py and supply a crafted tests/known-modules.pickle or tests/known-racks.pickle file that tests/definitions_test.py loads when pytest runs. Deserialization invokes attacker-controlled object reduction behavior, allowing arbitrary code execution in the GitHub Actions runner or in a maintainer process that runs the tests, with the confidentiality, integrity, and availability of reachable resources at risk. This vulnerability is fixed with commit 1c6f7e2b93589b965318c6e67ac3504831f0e71e.