mend-bolt-for-github[bot]
commented
11 months ago :heavy_check_mark: This issue was automatically closed by Mend because the vulnerable library in the specific branch(es) was either marked as ignored or it is no longer part of the Mend inventory.
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Vulnerabilities
**In some cases, Remediation PR cannot be created automatically for a vulnerability despite the availability of remediation
Details
CVE-2022-41900
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.
Publish Date: 2022-11-18
URL: CVE-2022-41900
### CVSS 3 Score Details (9.8)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: High - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://github.com/advisories/GHSA-xvwp-h6jv-7472
Release Date: 2022-11-18
Fix Resolution: tensorflow - 2.8.4,2.9.3,2.10.1;tensorflow-cpu - 2.8.4,2.9.3,2.10.1;tensorflow-gpu - 2.8.4,2.9.3,2.10.1
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CVE-2023-25668
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow version 2.11.1.
Publish Date: 2023-03-25
URL: CVE-2023-25668
### CVSS 3 Score Details (9.8)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: High - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://github.com/advisories/GHSA-gw97-ff7c-9v96
Release Date: 2023-03-25
Fix Resolution: 2.11.1
Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2023-25664
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a heap buffer overflow in TAvgPoolGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1.
Publish Date: 2023-03-25
URL: CVE-2023-25664
### CVSS 3 Score Details (9.8)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: High - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6hg6-5c2q-7rcr
Release Date: 2023-03-25
Fix Resolution: 2.11.1
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CVE-2022-41902
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.
Publish Date: 2022-12-06
URL: CVE-2022-41902
### CVSS 3 Score Details (9.1)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://github.com/advisories/GHSA-cg88-rpvp-cjv5
Release Date: 2022-09-30
Fix Resolution: tensorflow - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-cpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-gpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0
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CVE-2022-41910
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.
Publish Date: 2022-12-06
URL: CVE-2022-41910
### CVSS 3 Score Details (9.1)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://github.com/advisories/GHSA-frqp-wp83-qggv
Release Date: 2022-09-30
Fix Resolution: tensorflow - 2.8.4,2.9.3,2.10.1;tensorflow-cpu - 2.8.4,2.9.3,2.10.1;tensorflow-gpu - 2.8.4,2.9.3,2.10.1
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CVE-2022-41880
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. When the `BaseCandidateSamplerOp` function receives a value in `true_classes` larger than `range_max`, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Publish Date: 2022-11-18
URL: CVE-2022-41880
### CVSS 3 Score Details (9.1)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2022-41880
Release Date: 2022-11-18
Fix Resolution: tensorflow - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-cpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-gpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0
Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2022-41894
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. The reference kernel of the `CONV_3D_TRANSPOSE` TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the result. Instead of `data_ptr += num_channels;` it should be `data_ptr += output_num_channels;` as if the number of input channels is different than the number of output channels, the wrong result will be returned and a buffer overflow will occur if num_channels > output_num_channels. An attacker can craft a model with a specific number of input channels. It is then possible to write specific values through the bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel resolver is used in the interpreter. We have patched the issue in GitHub commit 72c0bdcb25305b0b36842d746cc61d72658d2941. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Publish Date: 2022-11-18
URL: CVE-2022-41894
### CVSS 3 Score Details (8.1)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: High - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: High - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2022-41894
Release Date: 2022-11-18
Fix Resolution: tensorflow - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-cpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-gpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0
Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2022-41883
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Publish Date: 2022-11-18
URL: CVE-2022-41883
### CVSS 3 Score Details (7.5)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2022-41883
Release Date: 2022-11-18
Fix Resolution: 2.10.1
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CVE-2022-41884
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Publish Date: 2022-11-18
URL: CVE-2022-41884
### CVSS 3 Score Details (7.5)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2022-41884
Release Date: 2022-11-18
Fix Resolution: tensorflow - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-cpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-gpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0
Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2022-41887
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.
Publish Date: 2022-11-18
URL: CVE-2022-41887
### CVSS 3 Score Details (7.5)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2022-41887
Release Date: 2022-11-18
Fix Resolution: 2.10.1
Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2022-41888
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. When running on GPU, `tf.image.generate_bounding_box_proposals` receives a `scores` input that must be of rank 4 but is not checked. We have patched the issue in GitHub commit cf35502463a88ca7185a99daa7031df60b3c1c98. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Publish Date: 2022-11-18
URL: CVE-2022-41888
### CVSS 3 Score Details (7.5)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2022-41888
Release Date: 2022-11-18
Fix Resolution: tensorflow - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-cpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-gpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0
Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)
CVE-2022-41886
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. When `tf.raw_ops.ImageProjectiveTransformV2` is given a large output shape, it overflows. We have patched the issue in GitHub commit 8faa6ea692985dbe6ce10e1a3168e0bd60a723ba. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Publish Date: 2022-11-18
URL: CVE-2022-41886
### CVSS 3 Score Details (7.5)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2022-41886
Release Date: 2022-11-18
Fix Resolution: tensorflow - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-cpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-gpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0
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CVE-2022-41889
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Publish Date: 2022-11-18
URL: CVE-2022-41889
### CVSS 3 Score Details (7.5)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2022-41889
Release Date: 2022-11-18
Fix Resolution: tensorflow - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-cpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0, tensorflow-gpu - 2.8.4, 2.9.3, 2.10.1, 2.11.0
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CVE-2022-41901
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Publish Date: 2022-11-18
URL: CVE-2022-41901
### CVSS 3 Score Details (7.5)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://github.com/advisories/GHSA-g9fm-r5mm-rf9f
Release Date: 2022-11-18
Fix Resolution: tensorflow - 2.8.4,2.9.3,2.10.1;tensorflow-cpu - 2.8.4,2.9.3,2.10.1;tensorflow-gpu - 2.8.4,2.9.3,2.10.1
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CVE-2023-25669
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
Publish Date: 2023-03-25
URL: CVE-2023-25669
### CVSS 3 Score Details (7.5)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6p
Release Date: 2023-03-24
Fix Resolution: tensorflow - 2.11.1,2.12.0, tensorflow-cpu - 2.11.1,2.12.0, tensorflow-gpu - 2.11.1,2.12.0
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CVE-2022-41907
### Vulnerable Library - tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whlTensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/3f/cd/9c217589c88448d67a4c755c4215cfae3e261e0af357ee81b9a5d7a96eda/tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy: - :x: **tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: b3c4d3a4ce2a8c63dd5db6be463427d89ea56c77
Found in base branch: main
### Vulnerability DetailsTensorFlow is an open source platform for machine learning. When `tf.raw_ops.ResizeNearestNeighborGrad` is given a large `size` input, it overflows. We have patched the issue in GitHub commit 00c821af032ba9e5f5fa3fe14690c8d28a657624. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Publish Date: 2022-11-18
URL: CVE-2022-41907
### CVSS 3 Score Details (7.5)Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: tensorflow - 2.8.4,2.9.3,2.10.1,2.11.0;tensorflow-cpu - 2.8.4,2.9.3,2.10.1,2.11.0;tensorflow-gpu - 2.8.4,2.9.3,2.10.1,2.11.0
Release Date: 2022-11-18
Fix Resolution: https://github.com/advisories/GHSA-368v-7v32-52fx
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