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
32.3%
TensorFlow is an open source platform for machine learning. If QuantizedAdd
is given min_input
or max_input
tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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.
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:*:*:*:*:*:* |
[
{
"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"
}
]
}
]
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