Vulnerability Details : CVE-2021-29536

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedReshape` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a324ac84e573fba362a5e53d4e74d5de6729933e/tensorflow/core/kernels/quantized_reshape_op.cc#L38-L55) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. However, if any of these tensors is empty, then `.flat<T>()` is an empty buffer and accessing the element at position 0 results in overflow. 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.
Vulnerability category: OverflowMemory Corruption
Published 2021-05-14 20:15:12
Updated 2021-07-26 16:02:44
Source GitHub, Inc.
View at NVD,   CVE.org

Exploit prediction scoring system (EPSS) score for CVE-2021-29536

Probability of exploitation activity in the next 30 days: 0.05%

Percentile, the proportion of vulnerabilities that are scored at or less: ~ 15 % EPSS Score History EPSS FAQ

CVSS scores for CVE-2021-29536

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Source
4.6
 MEDIUM AV:L/AC:L/Au:N/C:P/I:P/A:P
3.9
6.4
 nvd@nist.gov
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
 nvd@nist.gov
2.5
 LOW CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
1.0
1.4
 security-advisories@github.com

CWE ids for CVE-2021-29536

  • 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 (Secondary)
  • The product writes data past the end, or before the beginning, of the intended buffer.
    Assigned by: nvd@nist.gov (Primary)

References for CVE-2021-29536

Products affected by CVE-2021-29536

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