Vulnerabilities
software_vulnerabilities_dataset
Cybersecurity Vulnerabilities Dataset
Overview
This dataset, vulnerabilities.jsonl, is a comprehensive collection of 1000 common software vulnerabilities across multiple programming languages, designed for use in cybersecurity research, penetration testing, and secure coding education.
Each entry details a specific vulnerability, including its type, description, code snippet, exploitation techniques, and mitigation strategies.
The dataset is structured in JSON Lines… See the full description on the dataset page: https://huggingface.co/datasets/darkknight25/software_vulnerabilities_dataset.vuljector-extracted-vulnerabilities
Vuljector Extracted Vulnerabilities
This dataset is an export of the current Vuljector experiment artifacts.
Files:
produced_vulnerabilities.jsonl: one row per successfully produced injection attempt
verified_poc_successes.jsonl: one row per successful guided-PoC validation attempt
summary.json: aggregate counts
Current aggregate counts:
produced rows: 91
verified rows: 195
deduped unique valid cases: 267
Notes:
Counts are derived from all run artifacts under runs/injection… See the full description on the dataset page: https://huggingface.co/datasets/MananSuri27/vuljector-extracted-vulnerabilities.vuljector-extracted-vulnerabilities
Vuljector Extracted Vulnerabilities
This dataset is an export of the current Vuljector experiment artifacts.
Files:
produced_vulnerabilities.jsonl: one row per successfully produced injection attempt
verified_poc_successes.jsonl: one row per successful guided-PoC validation attempt
summary.json: aggregate counts
Current aggregate counts:
produced rows: 91
verified rows: 195
deduped unique valid cases: 267
Notes:
Counts are derived from all run artifacts under runs/injection… See the full description on the dataset page: https://huggingface.co/datasets/smtpsrvs/vuljector-extracted-vulnerabilities.redteam-vulnerabilities
OWASP Agentic 2026 Security Vulnerabilities Dataset v1.0.0
Combined red teaming benchmark dataset covering OWASP Agentic, OWASP LLM, fairness, liability, and content policy vulnerabilities
Overview
This dataset contains 819 adversarial conversation samples designed to test AI agent robustness against attacks from the OWASP Agentic AI Threats and Mitigations.
Included Vulnerabilities
Vulnerability
Description
Samples
bias
Unfair or Biased Content
20… See the full description on the dataset page: https://huggingface.co/datasets/orq/redteam-vulnerabilities.x23-solidity-vulnerabilities-audit-findings
X23 Vulnerability Dataset
The X23 Vulnerability Dataset is a normalized corpus of public smart-contract security audit findings, focused mostly on Solidity and EVM-based protocols. It includes deduplicated vulnerability findings extracted from public audit reports published between May 2019 and April 2026, with normalized titles, summaries, descriptions, severity/status/category fields, affected files/functions, remediation text, source report metadata, and attribution links where… See the full description on the dataset page: https://huggingface.co/datasets/daveytea/x23-solidity-vulnerabilities-audit-findings.agent-skill-vulnerabilities
Agent Skill Vulnerability Scenarios (defanged, teaching)
from datasets import load_dataset
ds = load_dataset("fevziegeyurtsevenler/agent-skill-vulnerabilities")
Deliberately-vulnerable, defanged agent-extension artifacts — for training detectors & hands-on learning.
Schema
column
meaning
id
scenario
artifact_type
SKILL.md / mcp.json
content, walkthrough
artifact + defense
Related AltaySec resources
🕵️ uncloak scanner:… See the full description on the dataset page: https://huggingface.co/datasets/fevziegeyurtsevenler/agent-skill-vulnerabilities.