CVE-2026-24051 OpenTelemetry-Go Affected by Arbitrary Code Execution via PATH Hijacking

OpenTelemetry-Go is the Go implementation of OpenTelemetry. The OpenTelemetry Go SDK in version v1.20.0-1.39.0 is vulnerable to Path Hijacking Untrusted Search Paths on macOS/Darwin systems. The resource detection code in sdk/resource/hostid.go executes the ioreg system command using a search pat...

CVE-2026-24051

OpenTelemetry-Go is the Go implementation of OpenTelemetry. The OpenTelemetry Go SDK in version v1.20.0-1.39.0 is vulnerable to Path Hijacking Untrusted Search Paths on macOS/Darwin systems. The resource detection code in sdk/resource/hostid.go executes the ioreg system command using a search pat...

Scam-checking just got easier: Malwarebytes is now in ChatGPT

If you’ve ever stared at a suspicious text, email, or link and thought “Is this a scam… or am I overthinking it?” Well, you’re not alone. Scams are getting harder to spot, and even savvy internet users get caught off guard. That’s why Malwarebytes is the first cybersecurity provider available...

Securing the Mid-Market Across the Complete Threat Lifecycle

For mid-market organizations, cybersecurity is a constant balancing act. Proactive, preventative security measures are essential to protect an expanding attack surface. Combined with effective protection that blocks threats, they play a critical role in stopping cyberattacks before damage is done...

CVE-2026-1738

Open5GS SGWC (up to 2.7.6) is affected by a flaw in sgwc_tunnel_add in /src/sgwc/context.c. Manipulating the pdr argument can trigger a reachable assertion, and the issue can be exploited remotely. The exploit has been published, and a patch to correct the issue is indicated as already-fixed in t...

Huawei EulerOS: Security Advisory for protobuf (EulerOS-SA-2026-1140)

The remote host is missing an update for the Huawei EulerOS SPDX-FileCopyrightText: 2026 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...

Malware Detection through Memory Analysis

This paper summarizes the research conducted for a malware detection project using the Canadian Institute for Cybersecurity's MalMemAnalysis-2022 dataset. The purpose of the project was to explore the effectiveness and efficiency of machine learning techniques for the task of binary classificatio...

Benchmarking Large Language Models for Zero-Shot and Few-Shot Phishing URL Detection

The Uniform Resource Locator URL, introduced in a connectivity-first era to define access and locate resources, remains historically limited, lacking future-proof mechanisms for security, trust, or resilience against fraud and abuse, despite the introduction of reactive protections like HTTPS...

OpenTelemetry-Go 代码问题漏洞

OpenTelemetry-Go is an open-source developer toolkit developed by OpenTelemetry - CNCF. Versions of OpenTelemetry-Go from 1.20.0 to 1.39.0 have code vulnerabilities. These vulnerabilities stem from path hijacking during the execution of the ioreg command in resource detection code, which may lead...

Huawei EulerOS: Security Advisory for libtasn1 (EulerOS-SA-2026-1128)

The remote host is missing an update for the Huawei EulerOS SPDX-FileCopyrightText: 2026 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-2026-5829e53bd7)

The remote host is missing an update for the SPDX-FileCopyrightText: 2026 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...

The Crown Jewels of Active Directory: How Trellix Helix Detects NTDS.dit Theft

The Crown Jewels of Active Directory: How Trellix Helix Detects NTDS.dit Theft By Adithya Chandra and Maulik Maheta · February 2, 2026 Executive summary Active Directory serves as the central repository for an organization's authentication infrastructure. Malicious actors frequently focus on...

Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents

Large language models LLMs have shown promise in assisting cybersecurity tasks, yet existing approaches struggle with automatic vulnerability discovery and exploitation due to limited interaction, weak execution grounding, and a lack of experience reuse. We propose Co-RedTeam, a security-aware...

Exploit for Reliance on Untrusted Inputs in a Security Decision in Microsoft

🏛️CTT -Microsoft Office OLE Manifold BYPASS CVE-2026-21509 Stan...

Linux Kernel Security Vulnerabilities

The Linux kernel is the kernel used by the Linux operating system developed by the Linux Foundation in the United States. There is a security vulnerability in the Linux kernel, which stems from the failure to release references to ICU devices during detection processes. This vulnerability may lea...

Linux Kernel Security Vulnerabilities

The Linux kernel is the core of the open-source operating system Linux, developed by the Linux Foundation in the United States. There is a security vulnerability in the Linux kernel, which stems from the lack of proper conflict detection when recording inode references. This vulnerability may lea...

Okara: Detection and Attribution of TLS Man-In-The-Middle Vulnerabilities in Android Apps with Foundation Models

Transport Layer Security TLS is fundamental to secure online communication, yet vulnerabilities in certificate validation that enable Man-in-the-Middle MitM attacks remain a pervasive threat in Android apps. Existing detection tools are hampered by low-coverage UI interaction, costly...

RPP: A Certified Poisoned-Sample Detection Framework for Backdoor Attacks under Dataset Imbalance

Deep neural networks are highly susceptible to backdoor attacks, yet most defense methods to date rely on balanced data, overlooking the pervasive class imbalance in real-world scenarios that can amplify backdoor threats. This paper presents the first in-depth investigation of how the dataset...

Semantic-Aware Advanced Persistent Threat Detection Using Autoencoders on LLM-Encoded System Logs

Advanced Persistent Threats APTs are among the most challenging cyberattacks to detect. They are carried out by highly skilled attackers who carefully study their targets and operate in a stealthy, long-term manner. Because APTs exhibit "low-and-slow" behavior, traditional statistical methods and...

The Semantic Trap: Do Fine-Tuned LLMs Learn Vulnerability Root Cause or Just Functional Pattern?

LLMs demonstrate promising performance in software vulnerability detection after fine-tuning. However, it remains unclear whether these gains reflect a genuine understanding of vulnerability root causes or merely an exploitation of functional patterns. In this paper, we identify a critical failur...