CVE-2022-41883: medium-severity vulnerability in tensorflow
Out of bounds segmentation fault due to unequal op inputs in Tensorflow
Published · Updated
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13Vexday Risk Score
No sign of exploitation. No public exploitation artifact known so far.
ssvc Trackcvss 6.8epss 0.4%
TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H
Affected products
tensorflow · tensorflowRelated CVEs — tensorflow
In the same product, most dangerous first.
CVE-2020-15202CRITICALInteger truncation in Shard API usageEPSS 1.3%CVE-2020-15207HIGHSegfault and data corruption in tensorflow-liteEPSS 1.2%CVE-2022-23559HIGHInteger overflow in TFLiteEPSS 1.2%CVE-2022-23581MEDIUM`CHECK`-failures during Grappler's `IsSimplifiableReshape` in TensorflowEPSS 1.2%CVE-2022-23589MEDIUMNull pointer dereference in Grappler's `IsConstant` in TensorflowEPSS 1.1%CVE-2020-15205CRITICALData leak in TensorflowEPSS 1.0%
References
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cchttps://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cchttps://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w58w-79xv-6vcj