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PYSEC-2026-3140
No affected components available
Impact
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)
Patches
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.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Yu Tian of Qihoo 360 AIVul Team.
The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. The attacker needs the user to perform some action, like clicking a link. The impact is confined to the system where the vulnerability exists. There is a low impact on the confidentiality of the information. There is a low impact on the integrity of the data. There is a high impact on the availability of the system.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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