EMBER2024 -- a Benchmark Dataset for Holistic Evaluation of Malware Classifiers

A lack of accessible data has historically restricted malware analysis research, and practitioners have relied heavily on datasets provided by industry sources to advance. Existing public datasets are limited by narrow scope - most include files targeting a single platform, have labels supporting...

deepmtp (>=0.0.5, <=0.0.12), tid-costa-rica-poverty-prediction (>=0.0.1, <=0.0.3) +1 more potentially affected by CVE-2025-30167 via jupyter-core (4.10.0)

jupyter-core PYPI version 4.10.0 is affected by a known vulnerability. The following packages have a transitive dependency on jupyter-core and may be impacted: - deepmtp =0.0.5, =0.0.1, =0.12.0, =0.12.1 Source cves: CVE-2025-30167 Source advisory: OSV:GHSA-33P9-3P43-82VQ...

Shadow Defense against Gradient Inversion Attack in Federated Learning

Federated learning FL has emerged as a transformative framework for privacy-preserving distributed training, allowing clients to collaboratively train a global model without sharing their local data. This is especially crucial in sensitive fields like healthcare, where protecting patient data is...

Adversarial Machine Learning for Robust Password Strength Estimation

Passwords remain one of the most common methods for securing sensitive data in the digital age. However, weak password choices continue to pose significant risks to data security and privacy. This study aims to solve the problem by focusing on developing robust password strength estimation models...

Data Flows in You: Benchmarking and Improving Static Data-Flow Analysis on Binary Executables

Data-flow analysis is a critical component of security research. Theoretically, accurate data-flow analysis in binary executables is an undecidable problem, due to complexities of binary code. Practically, many binary analysis engines offer some data-flow analysis capability, but we lack...

VulBinLLM: LLM-Powered Vulnerability Detection for Stripped Binaries

Recognizing vulnerabilities in stripped binary files presents a significant challenge in software security. Although some progress has been made in generating human-readable information from decompiled binary files with Large Language Models LLMs, effectively and scalably detecting vulnerabilitie...

Hunting the Ghost: Towards Automatic Mining of IoT Hidden Services

In this paper, we proposes an automatic firmware analysis tool targeting at finding hidden services that may be potentially harmful to the IoT devices. Our approach uses static analysis and symbolic execution to search and filter services that are transparent to normal users but explicit to...

Uncovering Black-Hat SEO Based Fake E-Commerce Scam Groups from Their Redirectors and Websites

While law enforcements agencies and cybercrime researchers are working hard, fake E-commerce scam is still a big threat to Internet users. One of the major techniques to victimize users is luring them by black-hat search-engine-optimization SEO; making search engines display their lure pages as i...

Weak-Jamming Detection in IEEE 802.11 Networks: Techniques, Scenarios and Mobility

State-of-the-art solutions detect jamming attacks ex-post, i.e., only when jamming has already disrupted the wireless communication link. In many scenarios, e.g., mobile networks or static deployments distributed over a large geographical area, it is often desired to detect jamming at the early...

CVE-2025-5150 docarray Web API torch_dataset.py __getitem__ prototype pollution

A vulnerability was found in docarray up to 0.40.1. It has been rated as critical. Affected by this issue is the function getitem of the file /docarray/data/torchdataset.py of the component Web API. The manipulation leads to improperly controlled modification of object prototype attributes...

DocArray security vulnerability

DocArray is a DocArray open source tool for representing, sending, storing, and searching multimodal data. A security vulnerability exists in DocArray 0.40.1 and earlier versions that stems from a prototype contamination issue in the file /docarray/data/torchdataset.py...

LAMDA: a Longitudinal Android Malware Benchmark for Concept Drift Analysis

Machine learning ML-based malware detection systems often fail to account for the dynamic nature of real-world training and test data distributions. In practice, these distributions evolve due to frequent changes in the Android ecosystem, adversarial development of new malware families, and the...

CVE-2024-34075

kurwov is a fast, dependency-free library for creating Markov Chains. An unsafe sanitization of dataset contents on the MarkovDatagetNext method used in Markovgenerate and Markovchoose allows a maliciously crafted string on the dataset to throw and stop the function from running properly. If a...

CVE-2024-41803

Xibo is a content management system CMS. An SQL injection vulnerability was discovered in the API routes inside the CMS responsible for Filtering DataSets. This allows an authenticated user to to obtain arbitrary data from the Xibo database by injecting specially crafted values in to the API for...

CVE-2024-5389

In lunary-ai/lunary version 1.2.13, an insufficient granularity of access control vulnerability allows users to create, update, get, and delete prompt variations for datasets not owned by their organization. This issue arises due to the application not properly validating the ownership of dataset...

CVE-2023-22834

The Contour Service was not checking that users had permission to create an analysis for a given dataset. This could allow an attacker to clutter up Compass folders with extraneous analyses, that the attacker would otherwise not have permission to create...

CVE-2023-1573

A vulnerability was found in DataGear up to 1.11.1 and classified as problematic. This issue affects some unknown processing of the component Graph Dataset Handler. The manipulation leads to cross site scripting. The attack may be initiated remotely. The exploit has been disclosed to the public a...

CVE-2022-43721

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...

Sec5GLoc: Securing 5G Indoor Localization Via Adversary-Resilient Deep Learning Architecture

Emerging 5G millimeter-wave and sub-6 GHz networks enable high-accuracy indoor localization, but security and privacy vulnerabilities pose serious challenges. In this paper, we identify and address threats including location spoofing and adversarial signal manipulation against 5G-based indoor...

EtherBee: a Global Dataset of Ethereum Node Performance Measurements Coupled with Honeypot Interactions and Full Network Sessions

We introduce EtherBee, a global dataset integrating detailed Ethereum node metrics, network traffic metadata, and honeypot interaction logs collected from ten geographically diverse vantage points over three months. By correlating node data with granular network sessions and security events,...