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Bug
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Resolution: Duplicate
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Undefined
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None
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None
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False
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False
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Vulnerability Types: CWE-476 (NULL Pointer Dereference), CWE-754 (Improper Check for Unusual or Exceptional Conditions), CWE-252 (Unchecked Return Value), CWE-465 (Pointer Issues), CWE-20 (Improper Input Validation), CWE-129 (Improper Validation of Array Index), CWE-680 (Integer Overflow to Buffer Overflow), CWE-125 (Out-of-bounds Read), CWE-190 (Integer Overflow or Wraparound)
Location:
- File: aten/src/ATen/native/cpu/SpmmReduceKernel.cpp
- Lines: 60-62
Related Exploit Files:
- exploit_cve_null_pointer_deref.py
- CVE_ANALYSIS_NULL_POINTER_DEREF.md
Details:
The _update function in SpmmReduceKernel.cpp contains NULL pointer dereference vulnerabilities at lines 60 and 62. The vulnerable code dereferences out_ptr and other_ptr without proper NULL checks:
for (; k < K; k++) {
opmath_t out_val = opmath_t(out_ptr[k]); // Line 60 - NULL deref
out_val = update<opmath_t, reduce>(out_val, opmath_t(other_ptr[k]) * opmath_t(val));
out_ptr[k] = out_val; // Line 62 - NULL deref
}
The vulnerability can occur when:
1. out_ptr is NULL (from out.data_ptr<scalar_t>() returning NULL for zero-size or improperly allocated tensors)
2. other_ptr is NULL (from other.const_data_ptr<scalar_t>() returning NULL for empty dense tensors)
3. Invalid pointer arithmetic from large column indices causing overflow
Impact:
- Denial of Service (DoS) through application crash
- Potential for memory corruption with malformed CSR tensors
- Out-of-bounds memory access with invalid column indices
- Integer overflow in pointer arithmetic (c * K) with large values
Mitigations in Current Build:
- Python API validation prevents most attack vectors
- Early return for empty tensors (nnz=0)
- Dimension compatibility checks
- Zero-size handling
Remaining Vulnerabilities:
1. Weak CSR format validation - non-monotonic crow_indices are accepted
2. Missing runtime bounds checks on column indices during computation
3. No protection against integer overflow in offset calculations
4. Direct C++ API access can bypass Python validation
Recommendations:
1. Strengthen CSR format validation to reject non-monotonic crow_indices
2. Add runtime bounds checking for column indices
3. Add NULL pointer checks before dereferencing data_ptr() returns
4. Implement integer overflow protection using safe arithmetic
5. Add fuzz testing for edge cases
Exploitation Difficulty:
- Via Python API: VERY DIFFICULT (strong validation)
- Via C++ API: MODERATE (can bypass validation)
Severity: Medium (Potential DoS/Crash)