CVE-2021-41219
Summary
| CVE | CVE-2021-41219 |
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| State | PUBLIC |
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| Assigner | [email protected] |
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| Source Priority | CVE Program / NVD first with legacy fallback |
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| Published | 2021-11-05 21:15:00 UTC |
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| Updated | 2021-11-09 16:12:00 UTC |
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| Description | TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. |
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NVD Known Affected Configurations (CPE 2.3)
References
| Reference | Source | Link | Tags |
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| Validate that matrix dimension sizes in SparseMatMul are positive. · tensorflow/tensorflow@e6cf28c · GitHub |
MISC |
github.com |
|
| Undefined behavior via `nullptr` reference binding in sparse matrix multiplication · Advisory · tensorflow/tensorflow · GitHub |
CONFIRM |
github.com |
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| CVE Program record |
CVE.ORG |
www.cve.org |
canonical |
| NVD vulnerability detail |
NVD |
nvd.nist.gov |
canonical, analysis |
No vendor comments have been submitted for this CVE.
Legacy QID Mappings
- 980184 Python (pip) Security Update for tensorflow-gpu (GHSA-4f99-p9c2-3j8x)
