CVSS2
Attack Vector
LOCAL
Attack Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
PARTIAL
Availability Impact
PARTIAL
AV:L/AC:L/Au:N/C:N/I:P/A:P
CVSS3
Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H
EPSS
Percentile
5.1%
All TFLite operations that use quantization can be made to use unitialized values. For example:
const auto* affine_quantization =
reinterpret_cast<TfLiteAffineQuantization*>(
filter->quantization.params);
The issue stems from the fact that quantization.params
is only valid if quantization.type
is different that kTfLiteNoQuantization
. However, these checks are missing in large parts of the code.
We have patched the issue in GitHub commits 537bc7c723439b9194a358f64d871dd326c18887,
4a91f2069f7145aab6ba2d8cfe41be8a110c18a5 and 8933b8a21280696ab119b63263babdb54c298538.
The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by members of the Aivul Team from Qihoo 360.
Vendor | Product | Version | CPE |
---|---|---|---|
* | tensorflow-gpu | 2.5.0 | cpe:2.3:a:*:tensorflow-gpu:2.5.0:*:*:*:*:*:*:* |
* | tensorflow-gpu | * | cpe:2.3:a:*:tensorflow-gpu:*:*:*:*:*:*:*:* |
* | tensorflow-cpu | 2.5.0 | cpe:2.3:a:*:tensorflow-cpu:2.5.0:*:*:*:*:*:*:* |
* | tensorflow-cpu | * | cpe:2.3:a:*:tensorflow-cpu:*:*:*:*:*:*:*:* |
tensorflow | tensorflow | 2.5.0 | cpe:2.3:a:tensorflow:tensorflow:2.5.0:*:*:*:*:*:*:* |
tensorflow | tensorflow | * | cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:*:*:*:* |
github.com/advisories/GHSA-4c4g-crqm-xrxw
github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/depthwise_conv.cc#L198-L200
github.com/tensorflow/tensorflow/commit/4a91f2069f7145aab6ba2d8cfe41be8a110c18a5
github.com/tensorflow/tensorflow/commit/537bc7c723439b9194a358f64d871dd326c18887
github.com/tensorflow/tensorflow/commit/8933b8a21280696ab119b63263babdb54c298538
github.com/tensorflow/tensorflow/security/advisories/GHSA-4c4g-crqm-xrxw
nvd.nist.gov/vuln/detail/CVE-2021-37682
CVSS2
Attack Vector
LOCAL
Attack Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
PARTIAL
Availability Impact
PARTIAL
AV:L/AC:L/Au:N/C:N/I:P/A:P
CVSS3
Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H
EPSS
Percentile
5.1%