CVE-2022-23562High· 7.6▾ TwilightInteger overflow in Tensorflow
▾ Twilight zone — High severity, or a signal on a lesser flaw
impact 41.8 · likelihood 0.1 · exploitation 0
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Exploit-prediction probability, daily snapshots since Jul 13.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via OSV
Last analysed / modified upstream
0.6%
0.6% → 0.6%
The implementation of Range suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations.
We have patched the issue in GitHub commit f0147751fd5d2ff23251149ebad9af9f03010732 (merging #51733).
The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 < 2.5.3tensorflow >= 2.6.0, < 2.6.3tensorflow >= 2.7.0, < 2.7.1tensorflow-cpu < 2.5.3tensorflow-cpu >= 2.6.0, < 2.6.3tensorflow-cpu >= 2.7.0, < 2.7.1tensorflow-gpu < 2.5.3tensorflow-gpu >= 2.6.0, < 2.6.3tensorflow-gpu >= 2.7.0, < 2.7.1Upgrade to a patched release:
tensorflow 2.5.3tensorflow 2.6.3tensorflow 2.7.1tensorflow-cpu 2.5.3tensorflow-cpu 2.6.3tensorflow-cpu 2.7.1tensorflow-gpu 2.5.3tensorflow-gpu 2.6.3tensorflow-gpu 2.7.1Connected by shared product, vendor, weakness, or advisory.
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