the-bastion

🔒 The Bastion Overview Bastions are a cluster of machines used as the unique entry point by operational teams such as sysadmins, developers, database admins, ... to securely connect to devices servers, virtual machines, cloud instances, network equipment, ..., usually using ssh. The Bastion...

Searpy

🥀 Searpy 🔧 Batch search tool, can be used for collection and traceability Supports py2 and py3 1. Install git clone https://github.com/j3ers3/Searpy pip install -r requirements.txt Configure API and account in ./config.py python Searpy -h 2. Help Searpy Engine Tookit optional arguments: -h,...

security-operations-labs

Security Operations Labs Overview This repository consolidates defensive security work from a university context in a form reworked for public traceability. The focus is on methodology, reproducible labs, validation, and the limitations of the measures developed—not on publishing course material...

CVE-2025-12627

The user impersonation flow in WSO2 Identity Server fails to properly manage refresh tokens associated with impersonated sessions. This allows an attacker who has obtained an access token for an impersonated user to leverage the refresh token grant to obtain new access tokens, extending their...

EUVD-2025-210629

The user impersonation flow in WSO2 Identity Server fails to properly manage refresh tokens associated with impersonated sessions. This allows an attacker who has obtained an access token for an impersonated user to leverage the refresh token grant to obtain new access tokens, extending their...

From Attack Simulation to SIEM Rule: Deterministic Detection-As-Code Synthesis with Probe-Level Traceability

Security teams routinely simulate attacks against their own systems to check whether their monitoring would catch a real intruder. These Breach-and-Attack-Simulation BAS tools surface findings, but the security information and event management SIEM systems that watch production need detection rul...

Security, Privacy, and Ethical Risks in OpenClaw

This paper systematically investigates the security, privacy, and ethical risks, as well as the traceability challenges of OpenClaw, a locally executable AI agent system for natural language interaction and real-world task completion. While OpenClaw shows strong potential for personal assistance,...

OpenClaw 安全漏洞

OpenClaw is an open-source intelligent artificial assistant developed by OpenClaw. Versions of OpenClaw prior to 2026.3.28 contained security vulnerabilities. These vulnerabilities stemmed from an authorization bypass in the chat.send gateway method. This allowed authenticated operator clients to...

NetSecBed: A Container-Native Testbed for Reproducible Cybersecurity Experimentation

Cybersecurity research increasingly depends on reproducible evidence, such as traffic traces, logs, and labeled datasets, yet most public datasets remain static and offer limited support for controlled re-execution and traceability, especially in heterogeneous multi-protocol environments. This...

CVE-2025-52644

HCL AION is affected by a vulnerability where certain user actions are not adequately audited or logged. The absence of proper auditing mechanisms may reduce traceability of user activities and could potentially impact monitoring, accountability, or incident investigation processes...

Unspecified Vulnerability in HCL AION (CNVD-2026-15151)

HCL AION is an AI lifecycle management platform from HCL India. HCL AION has a security vulnerability that can be exploited by attackers to affect the traceability of user activities...

EUVD-2025-208737

HCL AION is affected by a vulnerability where certain user actions are not adequately audited or logged. The absence of proper auditing mechanisms may reduce traceability of user activities and could potentially impact monitoring, accountability, or incident investigation processes...

CVE-2025-52644

HCL AION is affected by a vulnerability where certain user actions are not adequately audited or logged. The absence of proper auditing mechanisms may reduce traceability of user activities and could potentially impact monitoring, accountability, or incident investigation processes...

CVE-2025-52644

HCL AION is affected by a vulnerability where certain user actions are not adequately audited or logged. The absence of proper auditing mechanisms may reduce traceability of user activities and could potentially impact monitoring, accountability, or incident investigation processes...

CVE-2025-52644 HCL AION is affected by a vulnerability where certain user actions are not adequately audited or logged.

HCL AION is affected by a vulnerability where certain user actions are not adequately audited or logged. The absence of proper auditing mechanisms may reduce traceability of user activities and could potentially impact monitoring, accountability, or incident investigation processes...

CVE-2025-52644 HCL AION is affected by a vulnerability where certain user actions are not adequately audited or logged.

HCL AION is affected by a vulnerability where certain user actions are not adequately audited or logged. The absence of proper auditing mechanisms may reduce traceability of user activities and could potentially impact monitoring, accountability, or incident investigation processes...

CVE-2025-52644

Technical details about CVE-2025-52644 are not publicly provided in the supplied documents. Monitor for updates from vendors and security advisories.

PT-2026-25749

HCL AION is affected by a vulnerability where certain user actions are not adequately audited or logged. The absence of proper auditing mechanisms may reduce traceability of user activities and could potentially impact monitoring, accountability, or incident investigation processes...

HCL AION 安全漏洞

HCL AION is an AI lifecycle management platform from HCL India. HCL AION has a security vulnerability that can be exploited by attackers to affect the traceability of user activities...

Evaluating the Reliability of Digital Forensic Evidence Discovered by Large Language Model: A Case Study

The growing reliance on AI-identified digital evidence raises significant concerns about its reliability, particularly as large language models LLMs are increasingly integrated into forensic investigations. This paper proposes a structured framework that automates forensic artifact extraction,...