Integer overflow in Tensorflow
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
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Configuration 1 [-]
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| Source | ID | Title |
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EUVD |
EUVD-2022-0290 | Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Github GHSA |
GHSA-c6fh-56w7-fvjw | Integer overflow in Tensorflow |
No CVSS v4.0
No CVSS v3.0
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.665% probability within 30 days)
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