tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl: 19 vulnerabilities (highest severity is: 9.8) - autoclosed #25
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✔️ 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. |
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TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Vulnerabilities
**In some cases, Remediation PR cannot be created automatically for a vulnerability despite the availability of remediation
Details
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow 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 Fix
Type: Upgrade version
Origin: GHSA-gw97-ff7c-9v96
Release Date: 2023-03-25
Fix Resolution: 2.11.1
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Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow 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 Fix
Type: Upgrade version
Origin: GHSA-6hg6-5c2q-7rcr
Release Date: 2023-03-25
Fix Resolution: 2.11.1
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Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an end-to-end open source platform for machine learning.
array_ops.upper_boundcauses a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12.Publish Date: 2024-07-30
URL: CVE-2023-33976
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 Fix
Type: Upgrade version
Origin: GHSA-gjh7-xx4r-x345
Release Date: 2024-07-30
Fix Resolution: 2.12.1
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Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA,
tf.raw_ops.ParallelConcatsegfaults with a nullptr dereference when given a parametershapewith rank that is not greater than zero. A fix is available in TensorFlow 2.12.0 and 2.11.1.Publish Date: 2023-03-25
URL: CVE-2023-25676
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 Fix
Type: Upgrade version
Origin: GHSA-6wfh-89q8-44jq
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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Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA,
tf.raw_ops.Bincountsegfaults when given a parameterweightsthat is neither the same shape as parameterarrnor a length-0 tensor. A fix is included in TensorFlow 2.12.0 and 2.11.1.Publish Date: 2023-03-25
URL: CVE-2023-25675
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 Fix
Type: Upgrade version
Origin: GHSA-7x4v-9gxg-9hwj
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
Step up your Open Source Security Game with Mend here
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source machine learning platform. Versions prior to 2.12.0 and 2.11.1 have a null pointer error in RandomShuffle with XLA enabled. A fix is included in TensorFlow 2.12.0 and 2.11.1.
Publish Date: 2023-03-25
URL: CVE-2023-25674
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 Fix
Type: Upgrade version
Origin: GHSA-gf97-q72m-7579
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
Step up your Open Source Security Game with Mend here
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a Floating Point Exception in TensorListSplit with XLA. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
Publish Date: 2023-03-25
URL: CVE-2023-25673
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 Fix
Type: Upgrade version
Origin: GHSA-647v-r7qq-24fh
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
Step up your Open Source Security Game with Mend here
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source platform for machine learning. The function
tf.raw_ops.LookupTableImportV2cannot handle scalars in thevaluesparameter and gives an NPE. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.Publish Date: 2023-03-25
URL: CVE-2023-25672
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 Fix
Type: Upgrade version
Origin: GHSA-94mm-g2mv-8p7r
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
Step up your Open Source Security Game with Mend here
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source platform for machine learning. There is out-of-bounds access due to mismatched integer type sizes. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
Publish Date: 2023-03-25
URL: CVE-2023-25671
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 Fix
Type: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2023-25671
Release Date: 2023-03-25
Fix Resolution: 2.11.1
Step up your Open Source Security Game with Mend here
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 have a null point error in QuantizedMatMulWithBiasAndDequantize with MKL enabled. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
Publish Date: 2023-03-25
URL: CVE-2023-25670
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 Fix
Type: Upgrade version
Origin: GHSA-49rq-hwc3-x77w
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
Step up your Open Source Security Game with Mend here
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow 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 Fix
Type: Upgrade version
Origin: 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
Step up your Open Source Security Game with Mend here
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, integer overflow occurs when
2^31 <= num_frames * height * width * channels < 2^32, for example Full HD screencast of at least 346 frames. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.Publish Date: 2023-03-25
URL: CVE-2023-25667
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 Fix
Type: Upgrade version
Origin: GHSA-fqm2-gh8w-gr68
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
Step up your Open Source Security Game with Mend here
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when
SparseSparseMaximumis given invalid sparse tensors as inputs, it can give a null pointer error. A fix is included in TensorFlow version 2.12 and version 2.11.1.Publish Date: 2023-03-25
URL: CVE-2023-25665
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 Fix
Type: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2023-25665
Release Date: 2023-03-25
Fix Resolution: 2.11.1
Step up your Open Source Security Game with Mend here
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when
ctx->step_containter()is a null ptr, the Lookup function will be executed with a null pointer. A fix is included in TensorFlow 2.12.0 and 2.11.1.Publish Date: 2023-03-25
URL: CVE-2023-25663
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 Fix
Type: Upgrade version
Origin: GHSA-64jg-wjww-7c5w
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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Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 are vulnerable to integer overflow in EditDistance. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
Publish Date: 2023-03-25
URL: CVE-2023-25662
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 Fix
Type: Upgrade version
Origin: GHSA-7jvm-xxmr-v5cw
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
Step up your Open Source Security Game with Mend here
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when the parameter
summarizeoftf.raw_ops.Printis zero, the new methodSummarizeArray<bool>will reference to a nullptr, leading to a seg fault. A fix is included in TensorFlow version 2.12 and version 2.11.1.Publish Date: 2023-03-25
URL: CVE-2023-25660
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 Fix
Type: Upgrade version
Origin: GHSA-qjqc-vqcf-5qvj
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
Step up your Open Source Security Game with Mend here
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the parameter
indicesforDynamicStitchdoes not match the shape of the parameterdata, it can trigger an stack OOB read. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.Publish Date: 2023-03-25
URL: CVE-2023-25659
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 Fix
Type: Upgrade version
Origin: GHSA-93vr-9q9m-pj8p
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
Step up your Open Source Security Game with Mend here
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, an out of bounds read is in GRUBlockCellGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1.
Publish Date: 2023-03-25
URL: CVE-2023-25658
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 Fix
Type: Upgrade version
Origin: GHSA-68v3-g9cm-rmm6
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
Step up your Open Source Security Game with Mend here
Vulnerable Library - tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
TensorFlow is an open source machine learning framework for everyone.
Library home page: https://files.pythonhosted.org/packages/42/24/830571895f0927fe205a23309b136520c7914921420bd1e81aff1da47bb1/tensorflow-2.11.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /coin/Eonix/requirements.txt
Path to vulnerable library: /coin/Eonix/requirements.txt,/ai/model_training/requirements.txt,/ai/prediction/requirements.txt,/analytics/requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 011e5f9d5ce310049a1a68c19f7df65be4f88caf
Found in base branch: main
Vulnerability Details
TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A proof of concept can be constructed with the
Convolution3DTransposefunction. This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be potentially used to trigger a denial of service attack on ML cloud services. An attacker must have privilege to provide input to aConvolution3DTransposecall. This issue has been patched and users are advised to upgrade to version 2.11.1. There are no known workarounds for this vulnerability.Publish Date: 2023-03-27
URL: CVE-2023-25661
CVSS 3 Score Details (6.5)
Base Score Metrics:
- Exploitability Metrics:
- Attack Vector: Network
- Attack Complexity: Low
- Privileges Required: Low
- 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 Fix
Type: Upgrade version
Origin: GHSA-fxgc-95xx-grvq
Release Date: 2023-03-27
Fix Resolution: 2.11.1
Step up your Open Source Security Game with Mend here
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