TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.RaggedTensorToTensor`, an attacker can exploit an undefined behavior if input arguments are empty. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L356-L360) only checks that one of the tensors is not empty, but does not check for the other ones. There are multiple `DCHECK` validations to prevent heap OOB, but these are no-op in release builds, hence they don't prevent anything. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits 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.
Published 2021-05-14 20:15:16
Updated 2021-07-26 16:23:48
Source GitHub, Inc.
View at NVD,   CVE.org

Exploit prediction scoring system (EPSS) score for CVE-2021-29608

0.08%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 33 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2021-29608

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
4.6
MEDIUM AV:L/AC:L/Au:N/C:P/I:P/A:P
3.9
6.4
NIST
7.8
HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
1.8
5.9
NIST
5.3
MEDIUM CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:H
1.0
4.2
GitHub, Inc.

CWE ids for CVE-2021-29608

  • The product does not correctly calculate the size to be used when allocating a buffer, which could lead to a buffer overflow.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2021-29608

Products affected by CVE-2021-29608

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