A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection

Ensuring LLM alignment is critical to information security as AI models become increasingly widespread and integrated in society. Unfortunately, many defenses against adversarial attacks and jailbreaking on LLMs cannot adapt quickly to new attacks, degrade model responses to benign prompts, or...

Latent Fusion Jailbreak: Blending Harmful and Harmless Representations to Elicit Unsafe LLM Outputs

Large language models LLMs demonstrate impressive capabilities in various language tasks but are susceptible to jailbreak attacks that circumvent their safety alignments. This paper introduces Latent Fusion Jailbreak LFJ, a representation-based attack that interpolates hidden states from harmful...

U.S. Dept Of Defense: exposed FOUO documents, including Passport information

A set of FOUO documents, including a person's passport information, was found posted online. The documents were hosted on various government websites and did not appear to contain highly sensitive information, aside from the passport details. The Distributed Denial of Secrets website was also...

The AI-Powered Security Shift: What 2025 Is Teaching Us About Cloud Defense

Now that we are well into 2025, cloud attacks are evolving faster than ever and artificial intelligence AI is both a weapon and a shield. As AI rapidly changes how enterprises innovate, security teams are now tasked with a triple burden: 1. Secure AI embedded in every part of the business. 2. Use...

EG4 Electronics EG4 Inverters (Update B)

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to intercept and manipulate critical data, install malicious firmware, hijack device access, and gain unauthorized control over the system. 2. RECOMMENDED PRACTICES CISA recommends users take defensive...

Delta Electronics DIAView

RISK EVALUATION Successful exploitation of this vulnerability may allow a remote attacker to read or write files on the affected device. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability. CISA reminds organizations...

Johnson Controls FX Server, FX80 and FX90 (Update A)

RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker to compromise the device's configuration files. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize network...

Rockwell Automation Arena

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to disclose information and execute arbitrary code. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of these vulnerabilities, such as: Minimize...

Packet Power EMX and EG

RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker to gain full access to the device without authentication. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimizing...

Burk Technology ARC Solo

RISK EVALUATION Successful exploitation of this vulnerability could result in an attacker gaining access to the device, locking out authorized users, or disrupting operations. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this...

How Top SOCs Defend Against Emerging Threats with Live Attack Data

Disclosure: This article was provided by ANY.RUN. The information and analysis presented are based on their research and findings...

Driver of destruction: How a legitimate driver is being used to take down AV processes

Introduction In a recent incident response case in Brazil, we spotted intriguing new antivirus AV killer software that has been circulating in the wild since at least October 2024. This malicious artifact abuses the ThrottleStop.sys driver, delivered together with the malware, to terminate numero...

SelectiveShield: Lightweight Hybrid Defense against Gradient Leakage in Federated Learning

Federated Learning FL enables collaborative model training on decentralized data but remains vulnerable to gradient leakage attacks that can reconstruct sensitive user information. Existing defense mechanisms, such as differential privacy DP and homomorphic encryption HE, often introduce a...

Optimizing Preventive and Reactive Defense Resource Allocation with Uncertain Sensor Signals

Cyber attacks continue to be a cause of concern despite advances in cyber defense techniques. Although cyber attacks cannot be fully prevented, standard decision-making frameworks typically focus on how to prevent them from succeeding, without considering the cost of cleaning up the damages...

BadBlocks: Low-Cost and Stealthy Backdoor Attacks Tailored for Text-To-Image Diffusion Models

In recent years,Diffusion models have achieved remarkable progress in the field of image generation.However,recent studies have shown that diffusion models are susceptible to backdoor attacks,in which attackers can manipulate the output by injecting covert triggers such as specific visual pattern...

Smart Car Privacy: Survey of Attacks and Privacy Issues

Automobiles are becoming increasingly important in our day to day life. Modern automobiles are highly computerized and hence potentially vulnerable to attack. Providing many wireless connectivity for vehicles enables a bridge between vehicles and their external environments. Such a connected...

BDFirewall: Towards Effective and Expeditiously Black-Box Backdoor Defense in MLaaS

In this paper, we endeavor to address the challenges of backdoor attacks countermeasures in black-box scenarios, thereby fortifying the security of inference under MLaaS. We first categorize backdoor triggers from a new perspective, i.e., their impact on the patched area, and divide them into:...

Anti-Tamper Protection for Unauthorized Individual Image Generation

With the advancement of personalized image generation technologies, concerns about forgery attacks that infringe on portrait rights and privacy are growing. To address these concerns, protection perturbation algorithms have been developed to disrupt forgery generation. However, the protection...

SUAD: Solid-Channel Ultrasound Injection Attack and Defense to Voice Assistants

As a versatile AI application, voice assistants VAs have become increasingly popular, but are vulnerable to security threats. Attackers have proposed various inaudible attacks, but are limited by cost, distance, or LoS. Therefore, we propose \nameAttack, a long-range, cross-barrier, and...

A Survey on Data Security in Large Language Models

Large Language Models LLMs, now a foundation in advancing natural language processing, power applications such as text generation, machine translation, and conversational systems. Despite their transformative potential, these models inherently rely on massive amounts of training data, often...