CVE-2026-35492

Kedro-Datasets is a Kendo plugin providing data connectors. Prior to 9.3.0, PartitionedDataset in kedro-datasets was vulnerable to path traversal. Partition IDs were concatenated directly with the dataset base path without validation. An attacker or malicious input containing .. components in a...

CVE-2026-35492

Kedro-Datasets PartitionedDataset has a path traversal vulnerability prior to 9.3.0, where partition IDs were concatenated with the dataset base path without validation, potentially allowing writing outside the dataset directory on local FS or storage backends (S3, GCS, etc.). The issue affects a...

Directory Traversal

Overview kedro-datasets is a Kedro-Datasets is where you can find all of Kedro's data connectors. Affected versions of this package are vulnerable to Directory Traversal via the PartitionedDataset component. An attacker can overwrite arbitrary files on the filesystem by supplying partition IDs...

kedro-datasets has a path traversal vulnerability in PartitionedDataset that allows arbitrary file write

Impact PartitionedDataset in kedro-datasets was vulnerable to path traversal. Partition IDs were concatenated directly with the dataset base path without validation. An attacker or malicious input containing .. components in a partition ID could cause files to be written outside the configured...

GHSA-CJG8-H5QC-HRJV kedro-datasets has a path traversal vulnerability in PartitionedDataset that allows arbitrary file write

Impact PartitionedDataset in kedro-datasets was vulnerable to path traversal. Partition IDs were concatenated directly with the dataset base path without validation. An attacker or malicious input containing .. components in a partition ID could cause files to be written outside the configured...

PT-2026-30759

Name of the Vulnerable Software and Affected Versions Kedro-Datasets versions prior to 9.3.0 Description The Kedro-Datasets plugin is susceptible to a path traversal issue in the PartitionedDataset component. Partition IDs were directly concatenated with the dataset base path without proper...

[CWE-73] Keras — Arbitrary HDF5 File Read via Virtual Dataset Bypass of External Storage Check (CVE-2026-1669 Incomplete Fix)

Description The fix for CVE-2026-1669 in Keras's H5IOStore.verifydataset method savinglib.py:1051 is incomplete. The patch checks dataset.external to block HDF5 datasets that use external file storage, but it does not check dataset.isvirtual. HDF5 Virtual Datasets VDS — created via...

Directory Traversal

Overview kedro is a Kedro helps you build production-ready data and analytics pipelines Affected versions of this package are vulnerable to Directory Traversal due to unsanitized version strings in versioned dataset path construction. The AbstractVersionedDataset.getversionedpath logic used durin...

Software Vulnerability Detection Using a Lightweight Graph Neural Network

Large Language Models LLMs have emerged as a popular choice in vulnerability detection studies given their foundational capabilities, open source availability, and variety of models, but have limited scalability due to extensive compute requirements. Using the natural graph relational structure o...

MAL-2026-1986 Malicious code in cloud-datasets (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 7cbbef34e9c8a9e6db79ffb59dde86dafe9734166f201aae8a5d1837ac262fc0 Installing the package or importing the module exfiltrates basic information about the host, and the package has no other purpose. --- Category: PROBABLYPENTES...

ProvAgent: Threat Detection Based on Identity-Behavior Binding and Multi-Agent Collaborative Attack Investigation

Advanced Persistent Threats APTs pose critical challenges to modern cybersecurity due to their multi-stage and stealthy nature. While provenance-based detection approaches show promise in capturing causal attack semantics, current threat provenance practices face two paradoxical issues: 1 expert...

CVE-2026-23982

An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to...

Optimizations in Spring MVC

Spring Fruits Benchmark Abstract Benchmarks are tricky to do well, and the results are often hard to interpret. This analysis attempts to go beyond a simple headline number to explore how performance varies with data set size. The results show that while results might be disappointing for a given...

MemoPhishAgent: Memory-Augmented Multi-Modal LLM Agent for Phishing URL Detection

Traditional phishing website detection relies on static heuristics or reference lists, which lag behind rapidly evolving attacks. While recent systems incorporate large language models LLMs, they are still prompt-based, deterministic pipelines that underutilize reasoning capability. We present...

A Unified Evaluation of Learning-Based Similarity Techniques for Malware Detection

Cryptographic digests e.g., MD5, SHA-256 are designed to provide exact identity. Any single-bit change in the input produces a completely different hash, which is ideal for integrity verification but limits their usefulness in many real-world tasks like threat hunting, malware analysis and digita...

ExploitPwned

ExploitPwned Exploit Database ExploitDB is an archive of exp...

LoRA-Based Parameter-Efficient LLMs for Continuous Learning in Edge-Based Malware Detection

The proliferation of edge devices has created an urgent need for security solutions capable of detecting malware in real time while operating under strict computational and memory constraints. Recently, Large Language Models LLMs have demonstrated remarkable capabilities in recognizing complex...

Resource-Aware Deployment Optimization for Collaborative Intrusion Detection in Layered Networks

Collaborative Intrusion Detection Systems CIDS are increasingly adopted to counter cyberattacks, as their collaborative nature enables them to adapt to diverse scenarios across heterogeneous environments. As distributed critical infrastructure operates in rapidly evolving environments, such as...

An Empirical Study of the Imbalance Issue in Software Vulnerability Detection

Vulnerability detection is crucial to protect software security. Nowadays, deep learning DL is the most promising technique to automate this detection task, leveraging its superior ability to extract patterns and representations within extensive code volumes. Despite its promise, DL-based...

UBUNTU-CVE-2026-1669

Arbitrary file read in the model loading mechanism HDF5 integration in Keras versions 3.0.0 through 3.13.1 on all supported platforms allows a remote attacker to read local files and disclose sensitive information via a crafted .keras model file utilizing HDF5 external dataset references...