PYSEC-2026-1258 Allegro AI ClearML path traversal vulnerability

A path traversal vulnerability in versions 1.4.0 to 1.14.1 of the client SDK of Allegro AI’s ClearML platform enables a maliciously uploaded dataset to write local or remote files to an arbitrary location on an end user’s system when interacted with...

PYSEC-2026-1182 Apache Superset Open Redirect vulnerability

An authenticated attacker with update datasets permission could change a dataset link to an untrusted site by spoofing the HTTP Host header, users could be redirected to this site when clicking on that specific dataset. This issue affects Apache Superset versions before 3.0.0...

PYSEC-2026-781 Apache Superset Open Redirect vulnerability

An authenticated attacker with update datasets permission could change a dataset link to an untrusted site, users could be redirected to this site when clicking on that specific dataset. This issue affects Apache Superset version 1.5.2 and prior versions and version 2.0.0...

PT-2026-56230

Name of the Vulnerable Software and Affected Versions Joomla! Core affected versions not specified Description An improper access check allows unauthorized users to access datasets within the com privacy webservice endpoints. Recommendations At the moment, there is no information about a newer...

CVE-2026-12480

Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the H5IOStore.verifydataset and fileeditor.py methods, which fail to check the dataset.isvirtual property of HDF5 datasets. This allows ...

UBUNTU-CVE-2026-12480

Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the H5IOStore.verifydataset and fileeditor.py methods, which fail to check the dataset.isvirtual property of HDF5 datasets. This allows ...

CVE-2026-12480

Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the H5IOStore.verifydataset and fileeditor.py methods, which fail to check the dataset.isvirtual property of HDF5 datasets. This allows ...

CVE-2026-12480

Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the H5IOStore.verifydataset and fileeditor.py methods, which fail to check the dataset.isvirtual property of HDF5 datasets. This allows ...

EUVD-2026-41090

Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the H5IOStore.verifydataset and fileeditor.py methods, which fail to check the dataset.isvirtual property of HDF5 datasets. This allows ...

PT-2026-54620

Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the H5IOStore. verify dataset and file editor.py methods, which fail to check the dataset.is virtual property of HDF5 datasets. This...

PYSEC-2026-291 Backpropagate: backprop ui --auth and backprop ui --share do not enforce authentication

Summary In backpropagate = 1.1.0, the optional Reflex web UI pip install backpropagateui, launched via backprop ui exposes a training control plane: dataset upload, model load, training start/stop, multi-run orchestration, GGUF export, and HuggingFace Hub push. The CLI accepts two operator-facing...

CVE-2026-10804

A flaw was found in Streamlit, within its Palette Handler component. This vulnerability stems from the use of a weak hashing algorithm. A local attacker could exploit this flaw, though it requires a high level of technical complexity. Successful exploitation may lead to a low impact on the...

EUVD-2026-39562

The qrscp application's C-STORE handler uses a specific instance from attacker-supplied DICOM datasets directly in os.path.join without sanitization, allowing file writes to arbitrary paths...

CVE-2026-48797

Backpropagate is a Python library for fine-tuning large language models on a single GPU. In versions 1.1.0 and 1.1.1, the optional Reflex web UI exposes a training control plane without authentication: dataset upload, model load, training start/stop, multi-run orchestration, GGUF export, and...

[20260711] - Core - Incorrect Access Control in com_privacy webservice endpoints

An improper access check allows unauthorized users to access comprivacy datasets...

Turn specs into evals for any agent with ASSERT

Today, we’re releasing Adaptive Spec-driven Scoring for Evaluation and Regression Testing ASSERT, an open-source framework for turning natural-language behavior specifications into executable evaluations. Every team building an AI system starts with a clear intention for the behaviors they want t...

NCMD: Benign-Anchored Feature Selection for Imbalanced Network Intrusion Detection

Feature selection is critical for network intrusion detection systems NIDS operating under high-dimensional, highly imbalanced traffic, as found in operational and defense networks. Traditional filter methods rank features using global statistics computed symmetrically across classes and thus fai...

CVE-2026-40904

Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create charts. In version 4.9.0, Chartbrew exposes multiple dataset and dataRequest endpoints that authorize low-privileged project members at the team level instead of binding the...

FDM: A Framework for Decision-Making to Build ML-Based Malware Detection Systems

Selecting appropriate machine learning ML configurations for malware detection is a complex, multi-criteria problem. Model choice, feature engineering, and update mechanisms must jointly satisfy operational constraints that vary across deployment contexts. This paper proposes the Framework for...

Operationalizing Cyber Attack Prediction: A Gap-Prioritized Framework with Dataset and Model Selection Guidelines

While AI and machine learning for cyber attack prediction have advanced, a critical gap persists between theoretical research and practical operational deployment. Building on Ankalaki et al. 2025, this paper provides a comprehensive analysis of 150+ benchmark datasets and 200+ studies to identif...