Large Language Models Are Autonomous Cyber Defenders

Fast and effective incident response is essential to prevent adversarial cyberattacks. Autonomous Cyber Defense ACD aims to automate incident response through Artificial Intelligence AI agents that plan and execute actions. Most ACD approaches focus on single-agent scenarios and leverage...

Disable the System from Responding to ICMP Broadcast Packets

Internet Control Message Protocol ICMP transmits query packets and error packets. You can configure a policy of not receiving ICMP broadcast packets to defend against ICMP packet attacks. This parameter determines whether a device needs to respond to the ICMP echo messages and timestamp requests...

Cisco多款产品 缓冲区错误漏洞

Cisco IOS and others are products of Cisco Corporation USA.Cisco IOS is a set of operating systems developed for its network appliances.Cisco IOS XE is an operating system.Cisco Adaptive Security Appliance is a network appliance. A buffer error vulnerability exists in various Cisco products that...

BrightSign Players (Update A)

RISK EVALUATION Successful exploitation of this vulnerability could allow for privilege escalation on the device, easily guessed passwords, or for arbitrary code to be executed on the underlying operating system. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize...

Mitigating Backdoor Triggered and Targeted Data Poisoning Attacks in Voice Authentication Systems

Voice authentication systems remain susceptible to two major threats: backdoor triggered attacks and targeted data poisoning attacks. This dual vulnerability is critical because conventional solutions typically address each threat type separately, leaving systems exposed to adversaries who can...

LlamaFirewall: an Open Source Guardrail System for Building Secure AI Agents

Large language models LLMs have evolved from simple chatbots into autonomous agents capable of performing complex tasks such as editing production code, orchestrating workflows, and taking higher-stakes actions based on untrusted inputs like webpages and emails. These capabilities introduce new...

U.S. Dept Of Defense: POST XSS - data[type] parameter

A Cross-Site Scripting XSS vulnerability was discovered on a certain system. The vulnerable parameter was datatype, which allowed an attacker to inject malicious scripts that could be executed. The vulnerability was reported and referenced...

SoK: Stealing Cars since Remote Keyless Entry Introduction and How to Defend from It

Remote Keyless Entry RKE systems have been the target of thieves since their introduction in automotive industry. Robberies targeting vehicles and their remote entry systems are booming again without a significant advancement from the industrial sector being able to protect against them...

Fine-Grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams

Local Differential Privacy LDP enables massive data collection and analysis while protecting end users' privacy against untrusted aggregators. It has been applied to various data types e.g., categorical, numerical, and graph data and application settings e.g., static and streaming. Recent finding...

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures

As large language models LLMs continue to evolve, it is critical to assess the security threats and vulnerabilities that may arise both during their training phase and after models have been deployed. This survey seeks to define and categorize the various attacks targeting LLMs, distinguishing...

KUNBUS GmbH Revolution Pi (Update A)

RISK EVALUATION Successful exploitation of these vulnerabilities could allow attackers to bypass authentication, gain unauthorized access to critical functions, and execute malicious server-side includes SSI within a web page. 2. RECOMMENDED PRACTICES CISA recommends users take defensive...

Protocol-Agnostic and Data-Free Backdoor Attacks on Pre-Trained Models in RF Fingerprinting

While supervised deep neural networks DNNs have proven effective for device authentication via radio frequency RF fingerprinting, they are hindered by domain shift issues and the scarcity of labeled data. The success of large language models has led to increased interest in unsupervised pre-train...

OET: Optimization-Based Prompt Injection Evaluation Toolkit

Large Language Models LLMs have demonstrated remarkable capabilities in natural language understanding and generation, enabling their widespread adoption across various domains. However, their susceptibility to prompt injection attacks poses significant security risks, as adversarial inputs can...

CVE-2024-10635

Enterprise Protection contains an improper input validation vulnerability in attachment defense that allows an unauthenticated remote attacker to bypass attachment scanning security policy by sending a malicious S/MIME attachment with an opaque signature. When opened by a recipient in a downstrea...

A Comprehensive Study of Exploitable Patterns in Smart Contracts: from Vulnerability to Defense

With the rapid advancement of blockchain technology, smart contracts have enabled the implementation of increasingly complex functionalities. However, ensuring the security of smart contracts remains a persistent challenge across the stages of development, compilation, and execution...

Cert-SSB: toward Certified Sample-Specific Backdoor Defense

Deep neural networks DNNs are vulnerable to backdoor attacks, where an attacker manipulates a small portion of the training data to implant hidden backdoors into the model. The compromised model behaves normally on clean samples but misclassifies backdoored samples into the attacker-specified...

Traceback of Poisoning Attacks to Retrieval-Augmented Generation

Large language models LLMs integrated with retrieval-augmented generation RAG systems improve accuracy by leveraging external knowledge sources. However, recent research has revealed RAG's susceptibility to poisoning attacks, where the attacker injects poisoned texts into the knowledge database,...

Microsoft announces the 2025 Security Excellence Awards winners

In today’s rapidly evolving digital world, security requires a global community of defenders working together as a team to build a safer world for all. That’s why we’re thrilled to recognize the extraordinary individuals and organizations who have gone above and beyond in the fight against...

The Rise of Intelligent Security Validation: What a Month of Enhanced BAS Revealed

Running short on time but still want to stay in the know? Well, we’ve got you covered! We’ve condensed all the key takeaways into a handy audio summary. Our AI-driven podcasts are fit for on the go. Click right here to hear it all on CAASM & CDMB Inefficiencies! Four weeks ago, a major healthcare...

Delta Electronics ISPSoft

RISK EVALUATION Successful exploitation of these vulnerabilities could result in an attacker executing arbitrary code. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of these vulnerabilities, such as: Minimize network exposure for all...