CVE-2021-41204Medium· 5.5▾ SunlitSegfault while copying constant resource tensor
▾ Sunlit zone — Low / medium · no exploitation signal
impact 30.3 · likelihood 0 · 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
0.1%
0.1% → 0.1%
During TensorFlow's Grappler optimizer phase, constant folding might attempt to deep copy a resource tensor. This results in a segfault, as these tensors are supposed to not change.
We have patched the issue in GitHub commit 7731e8dfbe4a56773be5dc94d631611211156659.
The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
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tensorflow >= 2.6.0, < 2.6.1tensorflow >= 2.5.0, < 2.5.2tensorflow < 2.4.4tensorflow-cpu >= 2.6.0, < 2.6.1tensorflow-cpu >= 2.5.0, < 2.5.2tensorflow-cpu < 2.4.4tensorflow-gpu >= 2.6.0, < 2.6.1tensorflow-gpu >= 2.5.0, < 2.5.2tensorflow-gpu < 2.4.4Upgrade to a patched release:
tensorflow 2.6.1tensorflow 2.5.2tensorflow 2.4.4tensorflow-cpu 2.6.1tensorflow-cpu 2.5.2tensorflow-cpu 2.4.4tensorflow-gpu 2.6.1tensorflow-gpu 2.5.2tensorflow-gpu 2.4.4Connected by shared product, vendor, weakness, or advisory.
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