CVE-2022-23594: high-severity vulnerability in tensorflow
Out of bounds read in Tensorflow
Published · Updated
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21Vexday Risk Score
No sign of exploitation. No public exploitation artifact known so far.
ssvc Trackcvss 8.8epss 0.1%
Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/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%