GitHub_MCVE-2022-35971CVE-2022-35971
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. If FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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%