INE Security Alert: Continuous CVE Practice Closes Critical Gap Between Vulnerability Alerts and Effective Defense

Cary, North Carolina, 14th May 2025, CyberNewsWire...

Adversarial Suffix Filtering: a Defense Pipeline for LLMs

Large Language Models LLMs are increasingly embedded in autonomous systems and public-facing environments, yet they remain susceptible to jailbreak vulnerabilities that may undermine their security and trustworthiness. Adversarial suffixes are considered to be the current state-of-the-art...

CVE-2025-29971

Out-of-bounds read in Web Threat Defense WTD.sys allows an unauthorized attacker to deny service over a network...

CVE-2025-29971

Out-of-bounds read in Web Threat Defense WTD.sys allows an unauthorized attacker to deny service over a network...

CVE-2025-29971 Web Threat Defense (WTD.sys) Denial of Service Vulnerability

...

CVE-2025-29971

CVE-2025-29971 is a network-exploited denial-of-service vulnerability in Windows Web Threat Defense (WTD.sys) caused by an out-of-bounds read. The issue is labeled with CVSS v3.1 base score 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H). Affected component: Web Threat Defense driver. Remediation: appl...

CVE-2025-29971 Web Threat Defense (WTD.sys) Denial of Service Vulnerability

...

Using a Mythic agent to optimize penetration testing

Introduction The way threat actors use post-exploitation frameworks in their attacks is a topic we frequently discuss. It's not just about analysis of artifacts for us, though. Our company's deep expertise means we can study these tools to implement best practices in penetration testing. This hel...

Web Threat Defense (WTD.sys) Denial of Service Vulnerability

Out-of-bounds read in Web Threat Defense WTD.sys allows an unauthorized attacker to deny service over a network...

Siemens SiPass Integrated

SUMMARY SiPass integrated versions before V2.95.3.18 contain an out of bounds read vulnerability that could allow an unauthenticated remote attacker to create a denial of service condition. Siemens has released a new version for SiPass integrated and recommends to update to the latest version...

PT-2025-20974

Name of the Vulnerable Software and Affected Versions: Web Threat Defense versions prior to May 2025 update Description: The issue is an out-of-bounds read in Web Threat Defense WTD.sys that allows an unauthorized attacker to deny service over a network. This can be exploited by remote attackers ...

Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores

The advent of convenient and efficient fully unmanned stores equipped with artificial intelligence-based automated checkout systems marks a new era in retail. However, these systems have inherent artificial intelligence security vulnerabilities, which are exploited via adversarial patch attacks,...

Siemens Polarion

SUMMARY Polarion before V2410 contains multiple vulnerabilities that could allow attackers to extract data, conduct cross-site scripting attacks or find out valid usernames. Siemens strongly recommends to update Polarion to V2410 or later versions, not only to fix the documented vulnerabilities,...

One Trigger Token Is Enough: a Defense Strategy for Balancing Safety and Usability in Large Language Models

Large Language Models LLMs have been extensively used across diverse domains, including virtual assistants, automated code generation, and scientific research. However, they remain vulnerable to jailbreak attacks, which manipulate the models into generating harmful responses despite safety...

POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models

Large language models LLMs have achieved remarkable success in various domains, primarily due to their strong capabilities in reasoning and generating human-like text. Despite their impressive performance, LLMs are susceptible to hallucinations, which can lead to incorrect or misleading outputs...

A Taxonomy of Attacks and Defenses in Split Learning

Split Learning SL has emerged as a promising paradigm for distributed deep learning, allowing resource-constrained clients to offload portions of their model computation to servers while maintaining collaborative learning. However, recent research has demonstrated that SL remains vulnerable to a...

Sparsification under Siege: Defending against Poisoning Attacks in Communication-Efficient Federated Learning

Federated Learning FL enables collaborative model training across distributed clients while preserving data privacy, yet it faces significant challenges in communication efficiency and vulnerability to poisoning attacks. While sparsification techniques mitigate communication overhead by...

CVE-2025-20182

A vulnerability in the Internet Key Exchange version 2 IKEv2 protocol processing of Cisco Adaptive Security Appliance ASA Software, Cisco Firepower Threat Defense FTD Software, Cisco IOS Software, and Cisco IOS XE Software could allow an unauthenticated, remote attacker to cause a denial of servi...

CVE-2025-20182

The CVE-2025-20182 entry describes a DoS vulnerability in IKEv2 message processing affecting Cisco ASA, FTD, IOS, and IOS XE. The root cause is insufficient input validation when handling IKEv2 traffic, which could allow an unauthenticated remote attacker to force a device reload and thus a DoS c...

An LLM-Based Self-Evolving Security Framework for 6G Space-Air-Ground Integrated Networks

Recently emerged 6G space-air-ground integrated networks SAGINs, which integrate satellites, aerial networks, and terrestrial communications, offer ubiquitous coverage for various mobile applications. However, the highly dynamic, open, and heterogeneous nature of SAGINs poses severe security...