Windows-pentest-lab

Windows-pentest-lab Penetration testing and vulnerability asse...

Veritas: A Semantically Grounded Agentic Framework for Memory Corruption Vulnerability Detection in Binaries

Detecting memory corruption vulnerabilities in stripped binaries requires recovering object semantics, interprocedural propagation, and feasible triggers from low-level, lossy representations. Recent LLM-based approaches improve code understanding, but reliable detection still requires grounding ...

CVE-2026-8093

A flaw was found in Firefox. The Mozilla Foundation's Security Advisory describes the following issue: Memory safety bugs present in Firefox 150.0.1. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run...

An Automated Framework for Cybersecurity Policy Compliance Assessment against Security Control Standards

Organizational cybersecurity policies are often examined to determine whether they adequately comply standard security controls. This task is difficult because control statements are abstract, whereas policy documents describe governance practices in varied natural language. As a result,...

Quantifiable Uncertainty: A Stochastic Consensus Multi-Agent RAG Framework for Robust Malware Detection

While contemporary deep learning malware detectors define a dominant defense paradigm, their sophistication also exposes them to novel structural evasion attacks, a limitation we attribute to their inherent inability to express epistemic uncertainty. To address this challenge, we present MAGMA, a...

PT-2026-38368

Name of the Vulnerable Software and Affected Versions free5GC versions prior to 4.2.2 Description The PCF Npcf SMPolicyControl service lacks authentication middleware in the NewServer function, where the smPolicyGroup route group is created without attaching the RouterAuthorizationCheck middlewar...

LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution

LLMs are increasingly explored for malware analysis; however, current LLM-based malware attribution remains limited by unsupported indicators and insufficient code-level grounding for identifying malicious and vulnerable code segments. To address these limitations, this research introduces LCC-LL...

Axonflow fixed bugs by implementing multi-tenant isolation and access-control hardening

Summary Eight independently-filed bug fixes in the v7.1.3 → v7.5.0 release window collectively close a set of multi-tenant isolation, access-control, and policy-enforcement defects in the AxonFlow platform. They are filed as a single consolidated advisory because the recommended remediation is a...

SOCpilot: Verifying Policy Compliance for LLM-Assisted Incident Response

Security operations centers SOCs are beginning to use large language models LLMs as copilots to draft incident-response plans. These plans may include actions that are valid per the catalog but still violate mandatory steps, required ordering, or approval gates before analyst review. SOCpilot mak...

Root-Cause-Driven Automated Vulnerability Repair

Recent LLM-based systems have made automated vulnerability repair increasingly practical, but two challenges remain. First, without strong signals about where a bug originates, repair agents drift toward shallow edits that silence the observed failure while leaving the underlying defect unresolve...

GHSA-QPRH-M6P3-HWXC `sui-execution-cut` was removed from crates.io for malicious code

sui-execution-cut included a build script that attempted to exfiltrate data from the build machine. The malicious crate had 1 version published on 2026-04-20 and had no evidence of actual usage. This crate had no dependencies on crates.io...

Evaluating Retrieval-Augmented Generation for Explainable Malware Analysis

Large Language Models LLMs are increasingly being used as security engineering tools to summarize and explain malware behavior to analysts. A common assumption is that Retrieval-Augmented Generation RAG improves explanation quality by injecting external security knowledge. In this work, we...

PT-2026-37358

mysten-metrics included a build script that attempted to exfiltrate data from the build machine. The malicious crate had 1 version published on 2026-04-20 and had no evidence of actual usage. This crate had no dependencies on crates.io...

Observability for Post-Quantum TLS Readiness: A Multi-Surface Evidence Framework

Post-quantum migration in Transport Layer Security TLS requires evidence-aware measurements that distinguish session negotiation, endpoint capability, certificate-chain evidence, and the provenance of missing observations. This distinction is essential under TLS 1.3 encryption, resumption, mutual...

CVE-2022-50993

Weaver Fanwei E-office versions prior to 10.020221201 contain an unauthenticated arbitrary file upload vulnerability in the OfficeServer.php endpoint that allows remote attackers to upload malicious files by sending multipart POST requests with arbitrary filenames and disguised content types...

CVE-2025-71284

Synway SMG Gateway Management Software contains an OS command injection vulnerability in the RADIUS configuration endpoint at /en/9-2radius.php where the radiusaddress POST parameter is split and interpolated directly into a sed command without sanitization. An unauthenticated remote attacker can...

EUVD-2025-209597

Synway SMG Gateway Management Software contains an OS command injection vulnerability in the RADIUS configuration endpoint at /en/9-2radius.php where the radiusaddress POST parameter is split and interpolated directly into a sed command without sanitization. An unauthenticated remote attacker can...

CVE-2025-71284 Synway SMG Gateway Management Software OS Command Injection via radius_address

Synway SMG Gateway Management Software contains an OS command injection vulnerability in the RADIUS configuration endpoint at /en/9-2radius.php where the radiusaddress POST parameter is split and interpolated directly into a sed command without sanitization. An unauthenticated remote attacker can...

Benefits of Breach and Attack Simulation in Vulnerability Management

Vulnerability management teams face an overwhelming challenge: tens of thousands of CVEs published annually, limited remediation capacity, and no reliable way to separate genuine threats from background noise. Traditional approaches rely on CVSS scores and scanner output, but these methods lack t...

Toward Autonomous SOC Operations: End-To-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations

Security Operations Centers SOCs face mounting operational challenges. These challenges come from increasing threat volumes, heterogeneous SIEM platforms, and time-consuming manual triage workflows. We present an end-to-end threat management framework that integrates ensemble-based detection,...