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Vulnerability CVE-2021-29559
Published: 2021-05-14
Description: |
TensorFlow is an end-to-end open source platform for machine learning. An attacker can access data outside of bounds of heap allocated array in `tf.raw_ops.UnicodeEncode`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/472c1f12ad9063405737679d4f6bd43094e1d36d/tensorflow/core/kernels/unicode_ops.cc) assumes that the `input_value`/`input_splits` pair specify a valid sparse tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. |
Type:
CWE-125 (Out-of-bounds Read)
CVSS2 => (AV:L/AC:L/Au:N/C:P/I:N/A:P)
CVSS Base Score |
Impact Subscore |
Exploitability Subscore |
3.6/10 |
4.9/10 |
3.9/10 |
Exploit range |
Attack complexity |
Authentication |
Local |
Low |
No required |
Confidentiality impact |
Integrity impact |
Availability impact |
Partial |
None |
Partial |
References: |
https://github.com/tensorflow/tensorflow/commit/51300ba1cc2f487aefec6e6631fef03b0e08b298
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-59q2-x2qc-4c97
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