GitHub_MCVE-2022-35969CVE-2022-35969
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS
Percentile
35.2%
TensorFlow is an open source platform for machine learning. The implementation of Conv2DBackpropInput requires input_sizes to be 4-dimensional. Otherwise, it gives a CHECK failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. 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. There are no known workarounds for this issue.
Affected configurations
| Vendor | Product | Version | CPE |
|---|---|---|---|
| tensorflow | * | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | |
| tensorflow | 2.10 | cpe:2.3:a:google:tensorflow:2.10:rc0:*:*:*:*:*:* | |
| tensorflow | 2.10 | cpe:2.3:a:google:tensorflow:2.10:rc1:*:*:*:*:*:* | |
| tensorflow | 2.10 | cpe:2.3:a:google:tensorflow:2.10:rc2:*:*:*:*:*:* | |
| tensorflow | 2.10 | cpe:2.3:a:google:tensorflow:2.10:rc3:*:*:*:*:*:* |
CNA Affected
[
{
"product": "tensorflow",
"vendor": "tensorflow",
"versions": [
{
"status": "affected",
"version": "< 2.7.2"
},
{
"status": "affected",
"version": ">= 2.8.0, < 2.8.1"
},
{
"status": "affected",
"version": ">= 2.9.0, < 2.9.1"
}
]
}
]References
Social References
More
Related
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS
Percentile
35.2%