CVE-2022-29213Medium· 5.5▾ SunlitIncomplete validation in signal ops leads to crashes in TensorFlow
▾ Sunlit zone — Low / medium · no exploitation signal
impact 30.3 · 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
0.3%
0.3% → 0.3%
The tf.compat.v1.signal.rfft2d and tf.compat.v1.signal.rfft3d lack input validation and under certain condition can result in crashes (due to CHECK-failures).
We have patched the issue in GitHub commit 0a8a781e597b18ead006d19b7d23d0a369e9ad73 (merging GitHub PR #55274).
The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range.
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This vulnerability has been reported externally via a GitHub issue.
tensorflow < 2.6.4tensorflow >= 2.7.0, < 2.7.2tensorflow >= 2.8.0, < 2.8.1tensorflow-cpu < 2.6.4tensorflow-cpu >= 2.7.0, < 2.7.2tensorflow-cpu >= 2.8.0, < 2.8.1tensorflow-gpu < 2.6.4tensorflow-gpu >= 2.7.0, < 2.7.2tensorflow-gpu >= 2.8.0, < 2.8.1Upgrade to a patched release:
tensorflow 2.6.4tensorflow 2.7.2tensorflow 2.8.1tensorflow-cpu 2.6.4tensorflow-cpu 2.7.2tensorflow-cpu 2.8.1tensorflow-gpu 2.6.4tensorflow-gpu 2.7.2tensorflow-gpu 2.8.1Connected by shared product, vendor, weakness, or advisory.
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