EX-NIDS: a Framework for Explainable Network Intrusion Detection Leveraging Large Language Models

This paper introduces eX-NIDS, a framework designed to enhance interpretability in flow-based Network Intrusion Detection Systems NIDS by leveraging Large Language Models LLMs. In our proposed framework, flows labelled as malicious by NIDS are initially processed through a module called the Promp...

Assessing the Role of AI in Zero Trust

By 2025, Zero Trust has evolved from a conceptual framework into an essential pillar of modern security. No longer merely theoretical, it's now a requirement that organizations must adopt. A robust, defensible architecture built on Zero Trust principles does more than satisfy baseline regulatory...

In-Context Learning of Vision Language Models for Detection of Physical and Digital Attacks against Face Recognition Systems

Recent advances in biometric systems have significantly improved the detection and prevention of fraudulent activities. However, as detection methods improve, attack techniques become increasingly sophisticated. Attacks on face recognition systems can be broadly divided into physical and digital...

PiMRef: Detecting and Explaining Ever-Evolving Spear Phishing Emails with Knowledge Base Invariants

Phishing emails are a critical component of the cybercrime kill chain due to their wide reach and low cost. Their ever-evolving nature renders traditional rule-based and feature-engineered detectors ineffective in the ongoing arms race between attackers and defenders. The rise of large language...

Quantum Skyshield: Quantum Key Distribution and Post-Quantum Authentication for Low-Altitude Wireless Networks in Adverse Skies

Recently, low-altitude wireless networks LAWNs have emerged as a critical backbone for supporting the low-altitude economy, particularly with the densification of unmanned aerial vehicles UAVs and high-altitude platforms HAPs. To meet growing data demands, some LAWN deployments incorporate...

Arbitrary Code Injection

pyLoad-ng is vulnerable to Arbitrary Code Injection. The vulnerability is due to unsafe JavaScript evaluation caused by insecure CAPTCHA processing logic that allows unauthenticated remote attackers to execute arbitrary code in the client browser and potentially on the backend server...

DEBIAN-CVE-2024-41148

A code injection vulnerability has been discovered in the Robot Operating System ROS 'rostopic' command-line tool, affecting ROS distributions Noetic Ninjemys and earlier. The vulnerability lies in the 'hz' verb, which reports the publishing rate of a topic and accepts a user-provided Python...

UBUNTU-CVE-2024-39835

A code injection vulnerability has been identified in the Robot Operating System ROS 'roslaunch' command-line tool, affecting ROS distributions Noetic Ninjemys and earlier. The vulnerability arises from the use of the eval method to process user-supplied, unsanitized parameter values within the...

CVE-2024-39289 Unsafe use of eval() method in rosparam tool

A code execution vulnerability has been discovered in the Robot Operating System ROS 'rosparam' tool, affecting ROS distributions Noetic Ninjemys and earlier. The vulnerability stems from the use of the eval function to process unsanitized, user-supplied parameter values via special converters fo...

Panoramic Corporation Digital Imaging Software

RISK EVALUATION Successful exploitation of this vulnerability could allow a standard user to obtain NT Authority/SYSTEM privileges. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize network...

CVE-2025-53890

pyload is an open-source Download Manager written in pure Python. An unsafe JavaScript evaluation vulnerability in pyLoad’s CAPTCHA processing code allows unauthenticated remote attackers to execute arbitrary code in the client browser and potentially the backend server. Exploitation requires no...

MAD-Spear: a Conformity-Driven Prompt Injection Attack on Multi-Agent Debate Systems

Multi-agent debate MAD systems leverage collaborative interactions among large language models LLMs agents to improve reasoning capabilities. While recent studies have focused on increasing the accuracy and scalability of MAD systems, their security vulnerabilities have received limited attention...

Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework

Frontier AI systems are rapidly advancing in their capabilities to persuade, deceive, and influence human behaviour, with current models already demonstrating human-level persuasion and strategic deception in specific contexts. Humans are often the weakest link in cybersecurity systems, and a...

GHSA-VMQ6-5M68-F53M

creationtimestamp| type| source ---|---|--- 2025-07-16 03:20:51+00:00| seen| https://gist.github.com/safer-bot/4a0c1681f4dce611ef9b2d8ad2491ce6 2025-07-16 03:41:01+00:00| seen| https://gist.github.com/safer-bot/1311a1d6fbeee3ebfc44b603cc3c1e8e 2025-07-16 03:46:52+00:00| seen|...

GPU-Accelerated Interpretable Generalization for Rapid Cyberattack Detection and Forensics

The Interpretable Generalization IG mechanism recently published in IEEE Transactions on Information Forensics and Security delivers state-of-the-art, evidence-based intrusion detection by discovering coherent normal and attack patterns through exhaustive intersect-and-subset operations-yet its...

Safeguarding Federated Learning-Based Road Condition Classification

Federated Learning FL has emerged as a promising solution for privacy-preserving autonomous driving, specifically camera-based Road Condition Classification RCC systems, harnessing distributed sensing, computing, and communication resources on board vehicles without sharing sensitive image data...

LITEON IC48A and IC80A EV Chargers

RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker to access sensitive information when accessing the Liteon EV chargers. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as:...

CVE-2025-53890: Improper Control of Generation of Code

pyload is an open-source Download Manager written in pure Python. An unsafe JavaScript evaluation vulnerability in pyLoad’s CAPTCHA processing code allows unauthenticated remote attackers to execute arbitrary code in the client browser and potentially the backend server. Exploitation requires no...

CVE-2025-53890

pyload is an open-source Download Manager written in pure Python. An unsafe JavaScript evaluation vulnerability in pyLoad’s CAPTCHA processing code allows unauthenticated remote attackers to execute arbitrary code in the client browser and potentially the backend server. Exploitation requires no...

CVE-2025-53890 pyLoad vulnerable to remote code execution through js2py onCaptchaResult

pyload is an open-source Download Manager written in pure Python. An unsafe JavaScript evaluation vulnerability in pyLoad’s CAPTCHA processing code allows unauthenticated remote attackers to execute arbitrary code in the client browser and potentially the backend server. Exploitation requires no...