CVE-2026-33082 DataEase: SQL Injection in v2 Dataset Export

DataEase is an open source data visualization analysis tool. Versions 2.10.20 and below contain a SQL injection vulnerability in the dataset export functionality. The expressionTree parameter in POST /de2api/datasetTree/exportDataset is deserialized into a filtering object and passed to...

DataEase 安全漏洞

DataEase is an open-source data visualization and analysis tool developed by DataEase. It helps users quickly analyze data and gain insights into business trends, thereby enabling improvements and optimizations in their businesses. DataEase versions 2.10.20 and earlier contain security...

PT-2026-33363

Name of the Vulnerable Software and Affected Versions DataEase versions prior to 2.10.21 Description An issue exists in the '/de2api/datasetData/previewSql' endpoint where user-supplied SQL is wrapped in a subquery without validation to ensure the input is a single SELECT statement. By utilizing ...

PT-2026-33352

DataEase is an open-source data visualization and analytics platform. Versions 2.10.20 and below contain a SQL injection vulnerability in the orderDirection parameter used in dataset-related endpoints including /de2api/datasetData/enumValueDs and /de2api/datasetTree/exportDataset. The Order2SQLOb...

PT-2026-33351

DataEase is an open source data visualization analysis tool. Versions 2.10.20 and below contain a SQL injection vulnerability in the dataset export functionality. The expressionTree parameter in POST /de2api/datasetTree/exportDataset is deserialized into a filtering object and passed to...

LLM-Guided Prompt Evolution for Password Guessing

Passwords still remain a dominant authentication method, yet their security is routinely subverted by predictable user choices and large-scale credential leaks. Automated password guessing is a key tool for stress-testing password policies and modeling attacker behavior. This paper applies...

LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software

Logical vulnerabilities in software stem from flaws in program logic rather than memory safety, which can lead to critical security failures. Although existing automated program repair techniques primarily focus on repairing memory corruption vulnerabilities, they struggle with logical...

Towards Automated Pentesting with Large Language Models

Large Language Models LLMs are redefining offensive cybersecurity by allowing the generation of harmful machine code with minimal human intervention. While attackers take advantage of dark LLMs such as XXXGPT and WolfGPT to produce malicious code, ethical hackers can follow similar approaches to...

A Synthetic Conversational Smishing Dataset for Social Engineering Detection

Smishing SMS phishing has become a serious cybersecurity threat, especially for elderly and cyber-unaware individuals, causing financial loss and undermining user trust. Although prior work has focused on detecting smishing at the level of individual messages, real-world attackers often rely on...

RedShell: A Generative AI-Based Approach to Ethical Hacking

The application of Machine Learning techniques in code generation is now a common practice for most developers. Tools such as ChatGPT from OpenAI leverage the natural language processing capabilities of Large Language Models to generate machine code from natural language descriptions. In the...

SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems

Skill-based agent systems tackle complex tasks by composing reusable skills, improving modularity and scalability while introducing a largely unexamined security attack surface. We propose SkillTrojan, a backdoor attack that targets skill implementations rather than model parameters or training...

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 has a path traversal vulnerability in PartitionedDataset allows arbitrary file write

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 has a path traversal vulnerability in PartitionedDataset allows arbitrary file write

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 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...

CVE-2026-35492 Kedro-Datasets has a path traversal vulnerability in PartitionedDataset allows arbitrary file write

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...

Hybrid ResNet-1D-BiGRU with Multi-Head Attention for Cyberattack Detection in Industrial IoT Environments

This study introduces a hybrid deep learning model for intrusion detection in Industrial IoT IIoT systems, combining ResNet-1D, BiGRU, and Multi-Head Attention MHA for effective spatial-temporal feature extraction and attention-based feature weighting. To address class imbalance, SMOTE was applie...

Kedro-Plugins 路径遍历漏洞

Kedro-Plugins is an official plugin collection for the Kedro framework, developed by Kedro itself. Versions of Kedro-Plugins prior to 9.3.0 contained a path traversal vulnerability. This vulnerability stemmed from PartitionedDataset connecting partition IDs directly with the basic dataset path...

PYSEC-2026-71

Kedro is a toolbox for production-ready data science. Prior to 1.3.0, the getversionedpath method in kedro/io/core.py constructs filesystem paths by directly interpolating user-supplied version strings without sanitization. Because version strings are used as path components, traversal sequences...