CVSS2
Attack Vector
NETWORK
Attack Complexity
LOW
Authentication
SINGLE
Confidentiality Impact
PARTIAL
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:N/AC:L/Au:S/C:P/I:N/A:P
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
AI Score
Confidence
High
EPSS
Percentile
76.8%
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence
does not fully validate the value of batch_dim
and can result in a heap OOB read. There is a check to make sure the value of batch_dim
does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python’s negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of Dim
would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Vendor | Product | Version | CPE |
---|---|---|---|
tensorflow | * | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | |
tensorflow | 2.7.0 | cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:* |
github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.h#L415-L428
github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/ops/array_ops.cc#L1636-L1671
github.com/tensorflow/tensorflow/commit/37c01fb5e25c3d80213060460196406c43d31995
github.com/tensorflow/tensorflow/security/advisories/GHSA-6gmv-pjp9-p8w8
CVSS2
Attack Vector
NETWORK
Attack Complexity
LOW
Authentication
SINGLE
Confidentiality Impact
PARTIAL
Integrity Impact
NONE
Availability Impact
PARTIAL
AV:N/AC:L/Au:S/C:P/I:N/A:P
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
NONE
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
AI Score
Confidence
High
EPSS
Percentile
76.8%