PyPi: Openvino-Tensorflow

CVE-2021-37684

Transitive

Safety vulnerability ID: 43242

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at Aug 12, 2021 Updated at Nov 29, 2024
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Advisory

Openvino-tensorflow 1.0.0 updates its dependency 'tensorflow' to v2.5.1 to include security fixes.

Affected package

openvino-tensorflow

Latest version: 2.3.0

OpenVINO™ integration with TensorFlow

Affected versions

Fixed versions

Vulnerability changelog

1. This release provides functional improvements and enhanced backend support from the previous release. This includes
- OpenVINO™ 2021.4.1 upgrade - Long Term Support release of OpenVINO™ with focus on stability and compatibility.
- TensorFlow v2.5.1 upgrade – Bug fixes and address vulnerabilities over TensorFlow 2.4.1 release.
- OpenVINO™ integration with TensorFlow samples in Intel DevCloud – User can learn and test this capability across multiple Intel hardware devices.
- TensorFlow 2.x compliant C++ samples covering additional use-cases.
- Enabled FP16 precision on iGPU backend.
- Increased model (TensorFlow Hub/ OpenVINO™ Model Zoo) coverage on all the supported Intel backends.
- Performance Optimizations of existing supported models on all Intel backends
- Preview support of INT8 quantized models using OpenVINO™ Neural Network Compression Framework (NNCF)
- API to export OpenVINO™ IR (Intermediate Representation) for easy transition to native OpenVINO™
2. Additional support for MacOS and Ubuntu 20.04 and Python 3.9.
3. Updated platform support for TigerLake and IceLake Family.
4. Documentation improvements
- Added Mandarin version of GitHub documentation
- Enhanced GitHub documentation

Resources

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Severity Details

CVSS Base Score

MEDIUM 5.5

CVSS v3 Details

MEDIUM 5.5
Attack Vector (AV)
LOCAL
Attack Complexity (AC)
LOW
Privileges Required (PR)
LOW
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Availability (A)
HIGH

CVSS v2 Details

LOW 2.1
Access Vector (AV)
LOCAL
Access Complexity (AC)
LOW
Authentication (Au)
NONE
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Impact (A)
PARTIAL