CVE-2025-48413 Hard-coded OS root credentials in eCharge Hardy Barth cPH2 / cPP2 charging stations

The /etc/passwd and /etc/shadow files reveal hard-coded password hashes for the operating system "root" user. The credentials are shipped with the update files. There is no option for deleting or changing their passwords for an enduser. An attacker can use the credentials to log into the device...

PT-2025-22344

Name of the Vulnerable Software and Affected Versions The product name cannot be determined. Description A USB backdoor feature can be triggered by attaching a USB drive containing specially crafted salia.ini files. These files can contain commands that an attacker could exploit to export or modi...

Malware-infected printer delivered something extra to Windows users

You'd hope that spending $6,000 on a printer would give you a secure experience, free from viruses and other malware. However, in the case of Procolored printers, you'd be wrong. The Shenzen-based company sells UV printers, which are able to print on a variety of materials including wood, acrylic...

Chinese Hackers Deploy MarsSnake Backdoor in Multi-Year Attack on Saudi Organization

Threat hunters have exposed the tactics of a China-aligned threat actor called UnsolicitedBooker that targeted an unnamed international organization in Saudi Arabia with a previously undocumented backdoor dubbed MarsSnake. ESET, which first discovered the hacking group's intrusions targeting the...

Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?

Low rank adaptation LoRA has emerged as a prominent technique for fine-tuning large language models LLMs thanks to its superb efficiency gains over previous methods. While extensive studies have examined the performance and structural properties of LoRA, its behavior upon training-time attacks...

FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense against High-Ratio Malicious Clients

Federated learning FL is gaining increasing attention as an emerging collaborative machine learning approach, particularly in the context of large-scale computing and data systems. However, the fundamental algorithm of FL, Federated Averaging FedAvg, is susceptible to backdoor attacks. Although...

Pro-Ukraine Group Targets Russian Developers with Python Backdoor

ReversingLabs discovers dbgpkg, a fake Python debugger that secretly backdoors systems to steal data. Researchers suspect a pro-Ukraine…...

The Ripple Effect: on Unforeseen Complications of Backdoor Attacks

Recent research highlights concerns about the trustworthiness of third-party Pre-Trained Language Models PTLMs due to potential backdoor attacks. These backdoored PTLMs, however, are effective only for specific pre-defined downstream tasks. In reality, these PTLMs can be adapted to many other...

Defending the Edge: Representative-Attention for Mitigating Backdoor Attacks in Federated Learning

Federated learning FL enhances privacy and reduces communication cost for resource-constrained edge clients by supporting distributed model training at the edge. However, the heterogeneous nature of such devices produces diverse, non-independent, and identically distributed non-IID data, making t...

Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted

With the advancement of AI generative techniques, Deepfake faces have become incredibly realistic and nearly indistinguishable to the human eye. To counter this, Deepfake detectors have been developed as reliable tools for assessing face authenticity. These detectors are typically developed on De...

CVE-2025-4561

The KFOX from KingFor has an Arbitrary File Upload vulnerability, allowing remote attackers with regular privilege to upload and execute web shell backdoors, thereby enabling arbitrary code execution on the server...

Malicious code in ghosts3c (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 4043c1bd543dfe1287c1dd1d9b016beb0acfc6d126754bd599179713d3e36966 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

BadLingual: a Novel Lingual-Backdoor Attack against Large Language Models

In this paper, we present a new form of backdoor attack against Large Language Models LLMs: lingual-backdoor attacks. The key novelty of lingual-backdoor attacks is that the language itself serves as the trigger to hijack the infected LLMs to generate inflammatory speech. They enable the precise...

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...

A Chaos Driven Metric for Backdoor Attack Detection

The advancement and adoption of Artificial Intelligence AI models across diverse domains have transformed the way we interact with technology. However, it is essential to recognize that while AI models have introduced remarkable advancements, they also present inherent challenges such as their...

Chinese Group TheWizards Exploits IPv6 to Drop WizardNet Backdoor

ESET has discovered Spellbinder, a new tool used by the China-linked cyber espionage group TheWizards to conduct AitM…...

Backdoor Attacks against Patch-Based Mixture of Experts

As Deep Neural Networks DNNs continue to require larger amounts of data and computational power, Mixture of Experts MoE models have become a popular choice to reduce computational complexity. This popularity increases the importance of considering the security of MoE architectures. Unfortunately,...

A Survey on Privacy Risks and Protection in Large Language Models

Although Large Language Models LLMs have become increasingly integral to diverse applications, their capabilities raise significant privacy concerns. This survey offers a comprehensive overview of privacy risks associated with LLMs and examines current solutions to mitigate these challenges. Firs...

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...

Malicious code in helmet-fastapi (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 c1f805932ecbcd95197e98c6e2336eb773252abf5615fe135076d1848cb90395 Package contains hidden code adding a backdoor - a WebSocket path handler which will execute commands sent by an attacker knowing the path. In addition, it add...