CVE-2022-41880Medium· 6.8▾ SunlitTensorflow vulnerable to Out-of-Bounds Read
▾ Sunlit zone — Low / medium · no exploitation signal
impact 37.4 · 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% → 0.4%
When the BaseCandidateSamplerOp function receives a value in true_classes larger than range_max, a heap oob vuln occurs.
tf.raw_ops.ThreadUnsafeUnigramCandidateSampler(
true_classes=[[0x100000,1]],
num_true = 2,
num_sampled = 2,
unique = False,
range_max = 2,
seed = 2,
seed2 = 2)
We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
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This vulnerability has been reported by Yu Tian of Qihoo 360 AIVul Team.
tensorflow >= 2.10.0, < 2.10.1tensorflow-cpu >= 2.10.0, < 2.10.1tensorflow-gpu >= 2.10.0, < 2.10.1tensorflow < 2.8.4tensorflow-cpu < 2.8.4tensorflow-gpu < 2.8.4tensorflow >= 2.9.0, < 2.9.3tensorflow-cpu >= 2.9.0, < 2.9.3tensorflow-gpu >= 2.9.0, < 2.9.3Upgrade to a patched release:
tensorflow 2.10.1tensorflow-cpu 2.10.1tensorflow-gpu 2.10.1tensorflow 2.8.4tensorflow-cpu 2.8.4tensorflow-gpu 2.8.4tensorflow 2.9.3tensorflow-cpu 2.9.3tensorflow-gpu 2.9.3Connected by shared product, vendor, weakness, or advisory.
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