PyPi: Autogluon

CVE-2022-45907

Transitive

Safety vulnerability ID: 52772

This vulnerability was reviewed by experts

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

Created at Nov 26, 2022 Updated at Dec 04, 2024
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Advisory

Autogluon 0.6.2 updates its dependency 'torch' to v0.13.1 to include a security fix.

Affected package

autogluon

Latest version: 1.2

Fast and Accurate ML in 3 Lines of Code

Affected versions

Fixed versions

Vulnerability changelog

v0.6.2 is a security and bug fix release.

As always, only load previously trained models using the same version of AutoGluon that they were originally trained on.
Loading models trained in different versions of AutoGluon is not supported.

See the full commit change-log here: https://github.com/autogluon/autogluon/compare/v0.6.1...v0.6.2

Special thanks to daikikatsuragawa and yzhliu who were first time contributors to AutoGluon this release!

This version supports Python versions 3.7 to 3.9. 0.6.x are the last releases that will support Python 3.7.

Changes

Documentation improvements

- Ray usage FAQ (2559) - yinweisu
- Fix missing Predictor API doc (2573) - gidler
- 2023 Roadmap Update (2590) - Innixma
- Image classifiction tutorial update for bytearray (2598) - suzhoum
- Fix broken tutorial index links (2617) - shchur
- Improve timeseries quickstart tutorial (2653) - shchur


Bug Fixes / Security

- [multimodal] Refactoring and bug fixes(2554, 2541, 2477, 2569, 2578, 2613, 2620, 2630, 2633, 2635, 2647, 2645, 2652, 2659) - zhiqiangdon, yongxinw, FANGAreNotGnu, sxjscience, Innixma
- [multimodal] Support of named entity recognition (2556) - cheungdaven
- [multimodal] bytearray support for image modality (2495) - suzhoum
- [multimodal] Support HPO for matcher (2619) - zhiqiangdon
- [multimodal] Support Onnx export for timm image model (2564) - liangfu
- [tabular] Refactoring and bug fixes (2387, 2595,2599, 2589, 2628, 2376, 2642, 2646, 2650, 2657) - Innixma, liangfu, yzhliu, daikikatsuragawa, yinweisu
- [tabular] Fix ensemble folding (2582) - yinweisu
- [tabular] Convert ColumnTransformer in tabular NN from sklearn to onnx (2503) - liangfu
- [tabular] Throw error on non-finite values in label column ($2509) - gidler
- [timeseries] Refactoring and bug fixes (2584, 2594, 2605, 2606) - shchur
- [timeseries] Speed up data preparation for local models (2587) - shchur
- [timeseries] Spped up prediction for GluonTS models (2593) - shchur
- [timeseries] Speed up the train/val splitter (2586) - shchur
[timeseries] Speed up TimeSeriesEnsembleSelection.fit (2602) - shchur
- [security] Update torch (2588) - gradientsky

Resources

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Severity Details

CVSS Base Score

CRITICAL 9.8

CVSS v3 Details

CRITICAL 9.8
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
LOW
Privileges Required (PR)
NONE
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
HIGH
Integrity Impact (I)
HIGH
Availability Availability (A)
HIGH