CVE-2021-29534
May 14, 2021
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.SparseConcat`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/b432a38fe0e1b4b904a6c222cbce794c39703e87/tensorflow/core/kernels/sparse_concat_op.cc#L76) takes the values specified in `shapes[0]` as dimensions for the output shape. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Affected Packages
tensorflow (PYTHON):
Affected version(s) >=0.11.0rc2 <2.1.4Fix Suggestion:
Update to version 2.1.4tensorflow (PYTHON):
Affected version(s) >=2.4.0 <2.4.2Fix Suggestion:
Update to version 2.4.2tensorflow-cpu (PYTHON):
Affected version(s) >=2.2.0 <2.2.3Fix Suggestion:
Update to version 2.2.3tensorflow (PYTHON):
Affected version(s) >=2.3.0 <2.3.3Fix Suggestion:
Update to version 2.3.3tensorflow-cpu (PYTHON):
Affected version(s) >=2.4.0 <2.4.2Fix Suggestion:
Update to version 2.4.2tensorflow-gpu (PYTHON):
Affected version(s) >=2.2.0 <2.2.3Fix Suggestion:
Update to version 2.2.3tensorflow-cpu (PYTHON):
Affected version(s) >=2.3.0 <2.3.3Fix Suggestion:
Update to version 2.3.3tensorflow-gpu (PYTHON):
Affected version(s) >=2.3.0 <2.3.3Fix Suggestion:
Update to version 2.3.3tensorflow-gpu (PYTHON):
Affected version(s) >=2.4.0 <2.4.2Fix Suggestion:
Update to version 2.4.2tensorflow-cpu (PYTHON):
Affected version(s) >=0.0.0 <2.1.4Fix Suggestion:
Update to version 2.1.4tensorflow (PYTHON):
Affected version(s) >=2.2.0 <2.2.3Fix Suggestion:
Update to version 2.2.3tensorflow-gpu (PYTHON):
Affected version(s) >=0.12.0rc0 <2.1.4Fix Suggestion:
Update to version 2.1.4Related Resources (7)
Do you need more information?
Contact UsCVSS v4
Base Score:
2
Attack Vector
LOCAL
Attack Complexity
HIGH
Attack Requirements
NONE
Privileges Required
LOW
User Interaction
NONE
Vulnerable System Confidentiality
NONE
Vulnerable System Integrity
NONE
Vulnerable System Availability
LOW
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
2.5
Attack Vector
LOCAL
Attack Complexity
HIGH
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
NONE
Availability
LOW
CVSS v2
Base Score:
2.1
Access Vector
LOCAL
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
PARTIAL
Weakness Type (CWE)
Improper Check for Unusual or Exceptional Conditions
EPSS
Base Score:
0.01
