BackFed: an Efficient and Standardized Benchmark Suite for Backdoor Attacks in Federated Learning

Federated Learning FL systems are vulnerable to backdoor attacks, where adversaries train their local models on poisoned data and submit poisoned model updates to compromise the global model. Despite numerous proposed attacks and defenses, divergent experimental settings, implementation errors, a...

Evaluating the Critical Risks of Amazon'S Nova Premier under the Frontier Model Safety Framework

Nova Premier is Amazon's most capable multimodal foundation model and teacher for model distillation. It processes text, images, and video with a one-million-token context window, enabling analysis of large codebases, 400-page documents, and 90-minute videos in a single prompt. We present the fir...

Static Analysis for Detecting Transaction Conflicts in Ethereum Smart Contracts

Ethereum smart contracts operate in a concurrent environment where multiple transactions can be submitted simultaneously. However, the Ethereum Virtual Machine EVM enforces sequential execution of transactions within each block to prevent conflicts arising from concurrent access to the same state...

Rethinking and Exploring String-Based Malware Family Classification in the Era of LLMs and RAG

Malware Family Classification MFC aims to identify the fine-grained family e.g., GuLoader or BitRAT to which a potential malware sample belongs, in contrast to malware detection or sample classification that predicts only an Yes/No. Accurate family identification can greatly facilitate automated...

SUSE CVE-2025-25208

A Developer persona can bring down the Authorino service, preventing the evaluation of all AuthPolicies on the cluster...

Evaluating the Evaluators: Trust in Adversarial Robustness Tests

Despite significant progress in designing powerful adversarial evasion attacks for robustness verification, the evaluation of these methods often remains inconsistent and unreliable. Many assessments rely on mismatched models, unverified implementations, and uneven computational budgets, which ca...

Mitsubishi Electric MELSEC iQ-F Series

RISK EVALUATION Successful exploitation of this vulnerability could result in a denial-of-service condition for legitimate users for a certain period by repeatedly attempting to log in with incorrect passwords. When the product repeatedly receives unauthorized logins from an attacker, legitimate...

Hitachi Energy MicroSCADA X SYS600

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to tamper with the system file, overwrite files, create a denial-of-service condition, or leak file content. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of...

CVE-2025-6839

A vulnerability, which was classified as critical, has been found in Conjure Position Department Service Quality Evaluation System up to 1.0.11. Affected by this issue is the function eval of the file public/assets/less/bootstrap-less/mixins/head.php. The manipulation of the argument payload lead...

CVE-2025-6839 Conjure Position Department Service Quality Evaluation System head.php eval backdoor

A vulnerability, which was classified as critical, has been found in Conjure Position Department Service Quality Evaluation System up to 1.0.11. Affected by this issue is the function eval of the file public/assets/less/bootstrap-less/mixins/head.php. The manipulation of the argument payload lead...

CVE-2025-6839: Hidden Functionality

A vulnerability, which was classified as critical, has been found in Conjure Position Department Service Quality Evaluation System up to 1.0.11. Affected by this issue is the function eval of the file public/assets/less/bootstrap-less/mixins/head.php. The manipulation of the argument payload lead...

PT-2025-27339 · Unknown · Position Department Service Quality Evaluation System

Name of the Vulnerable Software and Affected Versions: Conjure Position Department Service Quality Evaluation System versions up to 1.0.11 Description: A critical vulnerability has been found in the Conjure Position Department Service Quality Evaluation System. The issue affects the eval function...

TrendMakers Sight Bulb Pro

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to capture sensitive information and execute arbitrary shell commands on the target device as root if connected to the local network segment. 2. RECOMMENDED PRACTICES CISA reminds organizations to perform...

Poster: Enhancing GNN Robustness for Network Intrusion Detection Via Agent-Based Analysis

Graph Neural Networks GNNs show great promise for Network Intrusion Detection Systems NIDS, particularly in IoT environments, but suffer performance degradation due to distribution drift and lack robustness against realistic adversarial attacks. Current robustness evaluations often rely on...

ControlID iDSecure On-premises

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to bypass authentication, retrieve information, leak arbitrary data, or perform SQL injections. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of...

Kaleris Navis N4 Terminal Operating System

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to remotely exploit the operating system, achieve remote code execution, or extract sensitive information. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of...

MICROSENS NMP Web+

RISK EVALUATION Successful exploitation of these vulnerabilities could allow an attacker to gain system access, overwrite files or execute arbitrary code. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of these vulnerabilities, such...

Diffusion-Based Task-Oriented Semantic Communications with Model Inversion Attack

Semantic communication has emerged as a promising neural network-based system design for 6G networks. Task-oriented semantic communication is a novel paradigm whose core goal is to efficiently complete specific tasks by transmitting semantic information, optimizing communication efficiency and ta...

PhishingHook: Catching Phishing Ethereum Smart Contracts Leveraging EVM Opcodes

The Ethereum Virtual Machine EVM is a decentralized computing engine. It enables the Ethereum blockchain to execute smart contracts and decentralized applications dApps. The increasing adoption of Ethereum sparked the rise of phishing activities. Phishing attacks often target users through...

DUMB and DUMBer: Is Adversarial Training Worth It in the Real World?

Adversarial examples are small and often imperceptible perturbations crafted to fool machine learning models. These attacks seriously threaten the reliability of deep neural networks, especially in security-sensitive domains. Evasion attacks, a form of adversarial attack where input is modified a...