CVE-2022-35937High· 7.0▾ TwilightTensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite
▾ Twilight zone — High severity, or a signal on a lesser flaw
impact 38.5 · likelihood 0.1 · exploitation 0
Need a working PoC? Pro members can cast a request and our team develops one — it lands right here.
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% → 0.6%
The GatherNd function 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 is triggered.
We have patched the issue in GitHub commit 595a65a3e224a0362d7e68c2213acfc2b499a196.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by Hui Peng from Baidu Security.
tensorflow < 2.7.2tensorflow >= 2.8.0, < 2.8.1tensorflow >= 2.9.0, < 2.9.1tensorflow-cpu < 2.7.2tensorflow-cpu >= 2.8.0, < 2.8.1tensorflow-cpu >= 2.9.0, < 2.9.1tensorflow-gpu < 2.7.2tensorflow-gpu >= 2.8.0, < 2.8.1tensorflow-gpu >= 2.9.0, < 2.9.1Upgrade to a patched release:
tensorflow 2.7.2tensorflow 2.8.1tensorflow 2.9.1tensorflow-cpu 2.7.2tensorflow-cpu 2.8.1tensorflow-cpu 2.9.1tensorflow-gpu 2.7.2tensorflow-gpu 2.8.1tensorflow-gpu 2.9.1Connected by shared product, vendor, weakness, or advisory.
CVE-2022-35959Medium· 5.9TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`
CVE-2022-35986Medium· 5.9TensorFlow vulnerable to segfault in `RaggedBincount`
CVE-2022-36017Medium· 5.9TensorFlow vulnerable to segfault in `Requantize`
CVE-2022-35993Medium· 5.9TensorFlow vulnerable to `CHECK` fail in `SetSize`
CVE-2022-35987Medium· 5.9TensorFlow vulnerable to `CHECK` fail in `DenseBincount`
CVE-2022-35981Medium· 5.9TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`