GitHub_MCVE-2022-35993CVE-2022-35993
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. When SetSize receives an input set_shape that is not a 1D tensor, it gives a CHECK fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit cf70b79d2662c0d3c6af74583641e345fc939467. 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
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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%