PyPi: Adversarial-Robustness-Toolbox

CVE-2021-28675

Transitive

Safety vulnerability ID: 41781

This vulnerability was reviewed by experts

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

Created at Jun 02, 2021 Updated at Oct 02, 2024
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Advisory

Adversarial-robustness-toolbox version 1.6.1 updates its dependency "Pillow" to a secure version. See CVE-2021-28675.

Affected package

adversarial-robustness-toolbox

Latest version: 1.18.2

Toolbox for adversarial machine learning.

Affected versions

Fixed versions

Vulnerability changelog

This release of ART v1.8.0 introduces the first estimators for object tracking and regression, adds a general model-independent object detection estimator and new membership inference attacks.

Added

- Added estimator for object tracker GOTURN in PyTorch in `art.estimators.object_tracking.PyTorchGoturn` (1318)
- Added estimator for scikit-learn DecisionTreeRegressor in `art.estimators.regression.ScikitlearnDecistionTreeRegressor` and added compatibility in attacks `AttributeInferenceBlackBox` and `MembershipInferenceBlackBox` (1272)
- Added general estimator for all object detection models of `torchvision` in `art.estimators.object_detection.PyTorchObjectDetector` (1295)
- Added membership inference attack based on boundary attacks with general threshold selection by Li and Zhang (1197)

Changed

- Changed `art.estimators.classification.BlackboxClassifier*` to also accept recorded input/prediction data pairs, instead of a callable providing predictions by evaluating the attacked model, enabling attacks on prediction data only without the necessity for direct access to the attacked model (1247)
- Moved patched Lingvo decoder to `art.contrib` (1261)

Removed

- Removed `art.classifiers` and `art.wappers`, both modules have been replaced with tools in `art.preprocessing.expectation_over_transformation`, `art.estimators.classification` and `art.estimators.classification` (1256)

Fixed

[None]

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)
NONE
User Interaction (UI)
REQUIRED
Scope (S)
UNCHANGED
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Availability (A)
HIGH

CVSS v2 Details

MEDIUM 4.3
Access Vector (AV)
NETWORK
Access Complexity (AC)
MEDIUM
Authentication (Au)
NONE
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Impact (A)
PARTIAL