CVE-2022-41902High· 7.1▾ TwilightOut of bounds write in grappler in Tensorflow
▾ Twilight zone — High severity, or a signal on a lesser flaw
impact 39.1 · likelihood 0.1 · exploitation 0
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Exploit-prediction probability, daily snapshots since Jul 8.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via OSV
Last analysed / modified upstream
0.4%
0.4% → 0.5%
The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered.
We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7.
The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1.
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tensorflow < 2.8.4tensorflow >= 2.9.0, < 2.9.3tensorflow >= 2.10.0, < 2.10.1tensorflow-cpu < 2.8.4tensorflow-gpu < 2.8.4tensorflow-cpu >= 2.9.0, < 2.9.3tensorflow-gpu >= 2.9.0, < 2.9.3tensorflow-cpu >= 2.10.0, < 2.10.1tensorflow-gpu >= 2.10.0, < 2.10.1Upgrade to a patched release:
tensorflow 2.8.4tensorflow 2.9.3tensorflow 2.10.1tensorflow-cpu 2.8.4tensorflow-gpu 2.8.4tensorflow-cpu 2.9.3tensorflow-gpu 2.9.3tensorflow-cpu 2.10.1tensorflow-gpu 2.10.1Connected by shared product, vendor, weakness, or advisory.
CVE-2022-41910Medium· 4.8Heap overflow in `QuantizeAndDequantizeV2`
CVE-2021-29541Low· 2.5Null pointer dereference in `StringNGrams`
CVE-2021-29525Low· 2.5Division by 0 in `Conv2DBackpropInput`
CVE-2021-29527Low· 2.5Division by 0 in `QuantizedConv2D`
CVE-2021-29524Low· 2.5Division by 0 in `Conv2DBackpropFilter`
CVE-2020-15207High· 8.7Segfault and data corruption in tensorflow-lite