7.1
CVE-2021-29569
- EPSS 0.02%
- Veröffentlicht 14.05.2021 20:15:13
- Zuletzt bearbeitet 21.11.2024 06:01:24
- Quelle security-advisories@github.com
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TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ac328eaa3870491ababc147822cd04e91a790643/tensorflow/core/kernels/requantization_range_op.cc#L49-L50) assumes that the `input_min` and `input_max` tensors have at least one element, as it accesses the first element in two arrays. If the tensors are empty, `.flat<T>()` is an empty object, backed by an empty array. Hence, accesing even the 0th element is a read outside the bounds. 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.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Google ≫ Tensorflow Version < 2.1.4
Google ≫ Tensorflow Version >= 2.2.0 < 2.2.3
Google ≫ Tensorflow Version >= 2.3.0 < 2.3.3
Google ≫ Tensorflow Version >= 2.4.0 < 2.4.2
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.02% | 0.022 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| nvd@nist.gov | 7.1 | 1.8 | 5.2 |
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
|
| nvd@nist.gov | 3.6 | 3.9 | 4.9 |
AV:L/AC:L/Au:N/C:P/I:N/A:P
|
| security-advisories@github.com | 2.5 | 1 | 1.4 |
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
|
CWE-125 Out-of-bounds Read
The product reads data past the end, or before the beginning, of the intended buffer.