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An assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode (python -O or PYTHONOPTIMIZE=1).
vLLM uses an assert statement at vllm/model_executor/layers/pooler/activations.py:48 as its sole security control to restrict which activation functions can be loaded from a HuggingFace model's config.json:
# vllm/model_executor/layers/pooler/activations.py:35-53
function_name: str | None = None
if (
hasattr(config, "sentence_transformers")
and "activation_fn" in config.sentence_transformers
):
function_name = config.sentence_transformers["activation_fn"]
elif (
hasattr(config, "sbert_ce_default_activation_function")
and config.sbert_ce_default_activation_function is not None
):
function_name = config.sbert_ce_default_activation_function
if function_name is not None:
assert function_name.startswith("torch.nn.modules."), (
"Loading of activation functions is restricted to "
"torch.nn.modules for security reasons"
)
fn = resolve_obj_by_qualname(function_name)()
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