Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detection

Fuzzing is a widely used technique for detecting vulnerabilities in smart contracts, which generates transaction sequences to explore the execution paths of smart contracts. However, existing fuzzers are falling short in detecting sophisticated vulnerabilities that require specific attack...

RulePilot: An LLM-Powered Agent for Security Rule Generation

The real-time demand for system security leads to the detection rules becoming an integral part of the intrusion detection life-cycle. Rule-based detection often identifies malicious logs based on the predefined grammar logic, requiring experts with deep domain knowledge for rule generation...

Retrofit: Continual Learning with Bounded Forgetting for Security Applications

Modern security analytics are increasingly powered by deep learning models, but their performance often degrades as threat landscapes evolve and data representations shift. While continual learning CL offers a promising paradigm to maintain model effectiveness, many approaches rely on full...

Prompt Engineering Vs. Fine-Tuning for LLM-Based Vulnerability Detection in Solana and Algorand Smart Contracts

Smart contracts have emerged as key components within decentralized environments, enabling the automation of transactions through self-executing programs. While these innovations offer significant advantages, they also present potential drawbacks if the smart contract code is not carefully design...

VULPO: Context-Aware Vulnerability Detection Via On-Policy LLM Optimization

The widespread reliance on open-source software dramatically increases the risk of vulnerability exploitation, underscoring the need for effective and scalable vulnerability detection VD. Existing VD techniques, whether traditional machine learning-based or LLM-based approaches like prompt...

NegBLEURT Forest: Leveraging Inconsistencies for Detecting Jailbreak Attacks

Jailbreak attacks designed to bypass safety mechanisms pose a serious threat by prompting LLMs to generate harmful or inappropriate content, despite alignment with ethical guidelines. Crafting universal filtering rules remains difficult due to their inherent dependence on specific contexts. To...

Adaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning

The routing protocol for low-power and lossy networks RPL has become the de facto routing standard for resource-constrained IoT systems, but its lightweight design exposes critical vulnerabilities to a wide range of routing-layer attacks such as hello flood, decreased rank, and version number...

EUVD-2025-175368

Dell Alienware Command Center 6.x AWCC, versions prior to 6.10.15.0, contain a Detection of Error Condition Without Action vulnerability. A low privileged attacker with local access could potentially exploit this vulnerability, leading to Arbitrary Code Execution...

CVE-2025-46367

Dell Alienware Command Center 6.x AWCC, versions prior to 6.10.15.0, contain a Detection of Error Condition Without Action vulnerability. A low privileged attacker with local access could potentially exploit this vulnerability, leading to Arbitrary Code Execution...

ThreatBook Peer-Recognized as a Strong Performer in the 2025 Gartner® Peer Insights™ Voice of the Customer for Network Detection and Response — for the Third Consecutive Year

Singapore, Singapore, 13th November 2025, CyberNewsWire...

Mageia: Security Advisory (MGASA-2025-0276)

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...

GraphFaaS: Serverless GNN Inference for Burst-Resilient, Real-Time Intrusion Detection

Provenance-based intrusion detection is an increasingly popular application of graphical machine learning in cybersecurity, where system activities are modeled as provenance graphs to capture causality and correlations among potentially malicious actions. Graph Neural Networks GNNs have...

Oracle Application Testing Suite Detection Consolidation

Consolidation of Oracle Application Testing Suite detections. 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...

Decoupling Bias, Aligning Distributions: Synergistic Fairness Optimization for Deepfake Detection

Fairness is a core element in the trustworthy deployment of deepfake detection models, especially in the field of digital identity security. Biases in detection models toward different demographic groups, such as gender and race, may lead to systemic misjudgments, exacerbating the digital divide...

How Trellix Helix detects AS-REP Roasting in Active Directory

How Trellix Helix detects AS-REP Roasting in Active Directory By Adithya Chandra and Maulik Maheta · November 13, 2025 Executive Summary Adversaries use AS-REP Roasting to extract and crack password hashes from Active Directory AD accounts with Kerberos preauthentication disabled, a...

EUVD-2025-149761

Malicious code in teagood-lokina82 npm...

EUVD-2025-124926

In the Linux kernel, the following vulnerability has been resolved: EDAC/i10nm: Skip DIMM enumeration on a disabled memory controller When loading the i10nmedac driver on some Intel Granite Rapids servers, a call trace may appear as follows: UBSAN: shift-out-of-bounds in...

CVE-2025-40157

In the Linux kernel, the following vulnerability has been resolved: EDAC/i10nm: Skip DIMM enumeration on a disabled memory controller When loading the i10nmedac driver on some Intel Granite Rapids servers, a call trace may appear as follows: UBSAN: shift-out-of-bounds in...

CVE-2025-13047

creationtimestamp| type| source ---|---|--- 2025-11-12 11:00:32+00:00| seen| https://bsky.app/profile/jos1264.social.skynetcloud.site.ap.brid.gy/post/3m5gipqacdvd2 2025-11-12 16:15:07+00:00| seen| https://bsky.app/profile/cve.skyfleet.blue/post/3m5h2cp4eno2n...

CVE-2025-40157 EDAC/i10nm: Skip DIMM enumeration on a disabled memory controller

In the Linux kernel, the following vulnerability has been resolved: EDAC/i10nm: Skip DIMM enumeration on a disabled memory controller When loading the i10nmedac driver on some Intel Granite Rapids servers, a call trace may appear as follows: UBSAN: shift-out-of-bounds in...