ndaybench

ndaybench A benchmark for measuring whether AI agents can bui...

Malicious code in data-pipeline-check (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 37ca0e77c4eda50057aa04c615897f067ee866d02fc1e2fe65cdbb263d3081e8 On import pipelinecheck, the package spawns a daemon thread that, after a random 3-15 second delay, walks /.ssh, /.aws, /.ethereum, /.config, /.docke...

refinance-poc

Refi-Ready POC This project is a Proof-of-Concept for a serve...

Progress多款产品 代码注入漏洞

Progress Hybrid Data Pipeline and others are products of Progress, Inc.Progress Hybrid Data Pipeline is a data pipeline software.Progress Hybrid Data Pipeline Server is a data pipeline server. Progress DataDirect Connect for JDBC is a set of high-performance JDBC drivers. A code injection...

Progress多款产品 代码注入漏洞

Progress Hybrid Data Pipeline and others are products of Progress, Inc.Progress Hybrid Data Pipeline is a data pipeline software.Progress Hybrid Data Pipeline Server is a data pipeline server. Progress DataDirect Connect for JDBC is a set of high-performance JDBC drivers. A code injection...

AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence

Large Language Models LLMs have demonstrated strong capabilities in natural language reasoning, yet their application to Cyber Threat Intelligence CTI remains limited. CTI analysis involves distilling large volumes of unstructured reports into actionable knowledge, a process where LLMs could...

EUVD-2025-22997

Malicious code in bioql PyPI...

EUVD-2023-0128

Malicious code in bioql PyPI...

data_pipeline_poc

📦 Catalogue Produit Unifié — Data Pipeline 🎯 Objectif Ce...

CVE-2025-6505

Unauthorized access and impersonation can occur in versions 4.6.2.3226 and below of Progress Software's Hybrid Data Pipeline Server on Linux. This vulnerability allows attackers to combine credentials from different sources, potentially leading to client impersonation and unauthorized access. Whe...

CVE-2025-6505

Unauthorized access and impersonation can occur in versions 4.6.2.3226 and below of Progress Software's Hybrid Data Pipeline Server on Linux. This vulnerability allows attackers to combine credentials from different sources, potentially leading to client impersonation and unauthorized access. Whe...

CVE-2025-6505

Unauthorized access and impersonation can occur in versions 4.6.2.3226 and below of Progress Software's Hybrid Data Pipeline Server on Linux. This vulnerability allows attackers to combine credentials from different sources, potentially leading to client impersonation and unauthorized access. Whe...

CVE-2025-6505

Unauthorized access and impersonation can occur in versions 4.6.2.3226 and below of Progress Software's Hybrid Data Pipeline Server on Linux. This vulnerability allows attackers to combine credentials from different sources, potentially leading to client impersonation and unauthorized access. Whe...

CVE-2025-6505

Unauthorized access and impersonation can occur in versions 4.6.2.3226 and below of Progress Software's Hybrid Data Pipeline Server on Linux. This vulnerability allows attackers to combine credentials from different sources, potentially leading to client impersonation and unauthorized access. Whe...

CVE-2025-6505

Summary of CVE-2025-6505 : Progress Software’s Hybrid Data Pipeline Server (Linux) versions ≤ 4.6.2.3226 are affected. The root issue is that during an OAuth handshake the server accepts client credentials from both HTTP headers and request parameters, enabling attackers to combine credentials fr...

PT-2025-31201 · Progress · Hybrid Data Pipeline Server

Name of the Vulnerable Software and Affected Versions: Progress Software Hybrid Data Pipeline Server versions 4.6.2.3226 and below Description: The Hybrid Data Pipeline Server is susceptible to unauthorized access and impersonation. Attackers can combine credentials from multiple sources,...

Progress Hybrid Data Pipeline Server 安全漏洞

Progress Hybrid Data Pipeline Server is a data pipeline server from Progress USA. A security vulnerability exists in Progress Hybrid Data Pipeline Server versions prior to 4.6.2.2978, which stems from the possibility that the X-Forwarded-For header may be spoofed, potentially leading to...

Benchmarking Misuse Mitigation against Covert Adversaries

Existing language model safety evaluations focus on overt attacks and low-stakes tasks. Realistic attackers can subvert current safeguards by requesting help on small, benign-seeming tasks across many independent queries. Because individual queries do not appear harmful, the attack is hard to...

Nemesis - An Offensive Data Enrichment Pipeline

Nemesis is an offensive data enrichment pipeline and operator support system. Built on Kubernetes with scale in mind, our goal with Nemesis was to create a centralized data processing platform that ingests data produced during offensive security assessments. Nemesis aims to automate a number of...

Remote code execution

AWS data.all is an open source development framework to help users build a data marketplace on Amazon Web Services. data.all versions 1.2.0 through 1.5.1 do not prevent remote code execution when a user injects Python commands into the ‘Template’ field when configuring a data pipeline. The issue...