3089 matches found
A Systematic Study of Code Obfuscation against LLM-Based Vulnerability Detection
As large language models LLMs are increasingly adopted for code vulnerability detection, their reliability and robustness across diverse vulnerability types have become a pressing concern. In traditional adversarial settings, code obfuscation has long been used as a general strategy to bypass...
Fedora: Security Advisory (FEDORA-2025-24dfd3b072)
The remote host is missing an update for the SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...
Fedora: Security Advisory (FEDORA-2025-7f360be18f)
The remote host is missing an update for the SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...
Diverse LLMs Vs. Vulnerabilities: Who Detects and Fixes Them Better?
Large Language Models LLMs are increasingly being studied for Software Vulnerability Detection SVD and Repair SVR. Individual LLMs have demonstrated code understanding abilities, but they frequently struggle when identifying complex vulnerabilities and generating fixes. This study presents...
CVE-2025-66516: Detecting and Defending Against Apache Tika XXE Attack
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Exploit for Deserialization of Untrusted Data in Facebook React
React2Shell Metasploit Module CVE-2025-55182 BETA A robus...
Huawei EulerOS: Security Advisory for libtiff (EulerOS-SA-2025-2466)
The remote host is missing an update for the Huawei EulerOS SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...
Exploit for Deserialization of Untrusted Data in Facebook React
R2SAE - React2Shell Auto-Exploit A Firefox extension...
Nextcloud Server Multiple Vulnerabilities (GHSA-24wp-p865-7j4r)
Nextcloud Server is prone to multiple vulnerabilities. SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only CPE = "cpe:/a:nextcloud:nextcloudserver"...
Exploit for Deserialization of Untrusted Data in Facebook React
Next.js RSC Vulnerability Scanner CVE-2025-66478 A lightwei...
BloodFang
🩸 BloodFang !Versionhttps://img.shields.io/badge/version-1...
Exploit for CVE-2025-55182
CVE-2025-55182-shellinteractive Base used from: https://gith...
Exploit for CVE-2025-55182
CVE-2025-55182 React2Shell Detection Tool Detection tools for...
Exploit for CVE-2025-55182
CVE-2025-55182 Exploit Tool CVE-2025-55182 Comprehensive Expl...
Exploit for CVE-2025-55182
what's it For CVE-2025-55182 and CVE-2025-66478 Security Resp...
Python DoS Vulnerability (Dec 2025) - Mac OS X
Python is prone to a denial of service DoS vulnerability. SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only CPE = "cpe:/a:python:python";...
Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
Few-shot prompting has emerged as a practical alternative to fine-tuning for leveraging the capabilities of large language models LLMs in specialized tasks. However, its effectiveness depends heavily on the selection and quality of in-context examples, particularly in complex domains. In this wor...
Fedora: Security Advisory (FEDORA-2025-45b1844342)
The remote host is missing an update for the SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...
LLMs As Firmware Experts: A Runtime-Grown Tree-Of-Agents Framework
Large Language Models LLMs and their agent systems have recently demonstrated strong potential in automating code reasoning and vulnerability detection. However, when applied to large-scale firmware, their performance degrades due to the binary nature of firmware, complex dependency structures, a...