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Source code corpora, bug reports, vulnerability databases, network intrusion detection, malware samples
1,562 datasets
A dataset likely containing records of Distributed Denial of Service attacks. It was published on Kaggle, but details on its size, origin, and creation date are not provided. The title suggests it may include a balanced representation of attack and normal network traffic.
Official merged flow-feature CSV files for IoT intrusion detection from the CIC-IoT2023 project. The dataset is intended for building and evaluating machine learning models to identify malicious activity in IoT networks. The specific creator, collection time range, and dataset size are not detailed in the provided metadata.
A dataset of Linux Executable and Linkable Format (ELF) files associated with malware. The dataset is hosted on Kaggle, but the specific number of samples, features, and collection methodology are not detailed in the provided metadata. Further details about the author, license, and data structure require verification after download.
Kaggle hosts a dataset titled 'malware-detection-data'. The dataset likely contains features for distinguishing between malicious and benign software. Its author, size, and specific collection details are not provided in the available metadata.
Network attack behavior records likely related to DDoS traffic in cloud environments. The dataset is published on Kaggle, but specific details about its size, origin, and creation date are not provided. Its content appears to focus on security event logs from cloud infrastructure.
A.S.E (AICGSecEval) is a project-level benchmark for evaluating the security of AI-generated code, created by Tencent. It simulates real-world development workflows using tasks derived from real-world GitHub projects and authoritative CVE patches. Each sample includes retrieval-based code context with relevant files and function summaries.
Results of radiation control provided by the Department of Emergency Situations on Civil Protection of the Executive Committee of Kaniv City Council for 2021. The dataset originates from the States site of Ukraine and was last updated on the platform in March 2026. The data is provided in an Excel XLSX file format.
Synelnyky City Council in Ukraine maintains a public information accounting system. The dataset, published on the eu_open_data platform, likely contains records related to the registration and management of public information. Its last update was recorded on 2026-03-03 13:25:51.678392.
Malware Classification: ember2024-joined is a dataset hosted on Kaggle. The title suggests it likely contains features for classifying malicious software, possibly related to the EMBER (Endgame Malware BEnchmark for Research) project. The dataset's specific size, columns, and creation details are not provided in the available metadata.
64 constituent indicators form the London Wellbeing and Sustainability Measure, developed by the Greater London Authority. The first iteration of this measure was published to assess London's success beyond material wealth, as committed to in the Mayor's 2021 manifesto. A summary report, user guide, and data spreadsheet are hosted alongside an interactive explorer tool.
Microsoft Malware Classification (BIG 2015) is a dataset from a Kaggle competition focused on malware detection and classification. The dataset likely contains features extracted from malware samples for use in machine learning models. Its specific contents, such as column names and data volume, are not detailed in the provided metadata.
A large-scale dataset of IoT network traffic intended for intrusion detection research. The dataset is hosted on Kaggle, but its author, organization, and specific collection details are not provided. The description indicates it is a master CSV file, likely containing tabular network flow or packet data.
ISO-Bench consists of 54 human-authored performance optimization commits sourced from the vLLM and SGLang repositories, updated in February 2026. Created by Lossfunk, this dataset provides original code diffs and benchmark commands to evaluate AI agents on software performance tasks.
38 static and behavioral analysis features characterize Portable Executable (PE) files for malware classification. The dataset originates from Kaggle, but its author, size, and update history are unspecified. Its features likely include metadata and behavioral patterns extracted from PE files.
Quarterly performance data from Q4 of the 2016-17 fiscal year, published by the London Borough of Barnet council. It tracks measures of success from the council's Corporate Plan, focusing on key performance indicators (KPIs). The dataset is used for internal reporting to the Performance and Contract Management Committee.
London Borough of Barnet's Quarterly Performance Report Q2 2014-15 details the quarterly performance of measures from the council's Corporate Plan. The dataset contains performance metrics and KPIs, though specific row and column counts are unknown.
London Borough of Barnet's quarterly performance report for Q1 of the 2016-17 financial year, detailing the council's progress against its Corporate Plan measures of success. The dataset is produced by the London Borough of Barnet and was last updated in March 2026.
Quarterly performance report for the London Borough of Barnet's Corporate Plan measures of success. The dataset covers the fourth quarter of the 2015-16 fiscal year and is produced by the council's administration. It contains performance metrics and key performance indicators (KPIs) related to the council's strategic objectives.
Quarterly performance data from the London Borough of Barnet's Corporate Plan for Q3 of the 2013-14 fiscal year. The report tracks measures of success and KPIs as reviewed by the Performance and Contract Management Committee. The specific number of rows and columns is unknown.
Quarterly Performance Report Q3 2014-15 documents the council's progress against its Corporate Plan measures of success. The dataset is provided by the London Borough of Barnet and was last updated in March 2026.