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Tensorizer Huge Header Allocation DoS

This repository contains a small Tensorizer .tensors proof of concept.

The PoC file declares a very large per-tensor header length while only containing the first eight bytes of that header. TensorDeserializer.read_numpy_arrays() allocates bytearray(header_len) before checking that the declared header bytes exist in the file.

Run:

python build_and_verify.py

Expected result:

control_small_header.tensors returns quickly.
tensorizer_huge_header_allocation_dos.tensors is only 122 bytes but declares an 8 GiB tensor header and causes a large allocation / long delay before raising a parser error.
ModelScan reports no issues for the PoC file.

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