CVE-2025-34117

A remote code execution vulnerability exists in multiple Netcore and Netis routers models with firmware released prior to August 2014 due to the presence of an undocumented backdoor listener on UDP port 53413. Exact version boundaries remain undocumented. An unauthenticated remote attacker can se...

CVE-2025-34117 Netcore / Netis Routers RCE via UDP Port 53413 Backdoor

A remote code execution vulnerability exists in multiple Netcore and Netis routers models with firmware released prior to August 2014 due to the presence of an undocumented backdoor listener on UDP port 53413. Exact version boundaries remain undocumented. An unauthenticated remote attacker can se...

CVE-2025-34117

CVE-2025-34117 describes a remote code execution via an undocumented backdoor listener on UDP port 53413 in Netcore/Netis routers with firmware released before August 2014. An unauthenticated attacker can send crafted UDP packets to execute commands, thanks to a hardcoded authentication mechanism...

CVE-2025-34117 Netcore / Netis Routers RCE via UDP Port 53413 Backdoor

A remote code execution vulnerability exists in multiple Netcore and Netis routers models with firmware released prior to August 2014 due to the presence of an undocumented backdoor listener on UDP port 53413. Exact version boundaries remain undocumented. An unauthenticated remote attacker can se...

UNC6148 Backdoors Fully-Patched SonicWall SMA 100 Series Devices with OVERSTEP Rootkit

A threat activity cluster has been observed targeting fully-patched end-of-life SonicWall Secure Mobile Access SMA 100 series appliances as part of a campaign designed to drop a backdoor called OVERSTEP. The malicious activity, dating back to at least October 2024, has been attributed by the Goog...

Netis Netcore Router 安全漏洞

Netis Netcore Router is a series of routers from Netis. A security vulnerability exists in Netis Netcore Router that stems from the presence of an undocumented backdoor listener on UDP port 53413, which could lead to remote execution of arbitrary code...

Multi-Trigger Poisoning Amplifies Backdoor Vulnerabilities in LLMs

Recent studies have shown that Large Language Models LLMs are vulnerable to data poisoning attacks, where malicious training examples embed hidden behaviours triggered by specific input patterns. However, most existing works assume a phrase and focus on the attack's effectiveness, offering limite...

Malicious code in aspnet-asset-management (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 068ec09bafae1223e1ebcc83c97b674b7188dd9ca13b5b73d241bccad793bf88 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

3S-Attack: Spatial, Spectral and Semantic Invisible Backdoor Attack against DNN Models

Backdoor attacks involve either poisoning the training data or directly modifying the model in order to implant a hidden behavior, that causes the model to misclassify inputs when a specific trigger is present. During inference, the model maintains high accuracy on benign samples but misclassifie...

Malicious code in igshared (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 42c9fa002fd890335fcbf32309ed3d7d078d7ccffd8b3da6c1e2836b5f522db8 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

The Dark Side of LLMs Agent-Based Attacks for Complete Computer Takeover

The rapid adoption of Large Language Model LLM agents and multi-agent systems enables unprecedented capabilities in natural language processing and generation. However, these systems have introduced unprecedented security vulnerabilities that extend beyond traditional prompt injection attacks. Th...

Malicious code in oneapi-analysis-configurator (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 62a408f2d5e2b67773b97c7a264f55597c4afd65c8bd0858394b6fbff152ec17 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

YushuTechUnitreeGo1

Based on the provided code, it appears to be a Windows executable file PE file that has been modified to contain a malicious payload. The file is likely a malware dropper or a backdoor that allows remote access to the compromised system. The code is written in C and uses various techniques to eva...

SEO Poisoning Campaign Targets 8,500+ SMB Users with Malware Disguised as AI Tools

Cybersecurity researchers have disclosed a malicious campaign that leverages search engine optimization SEO poisoning techniques to deliver a known malware loader called Oyster aka Broomstick or CleanUpLoader. The malvertising activity, per Arctic Wolf, promotes fake websites hosting trojanized...

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...

CLIP-Guided Backdoor Defense through Entropy-Based Poisoned Dataset Separation

Deep Neural Networks DNNs are susceptible to backdoor attacks, where adversaries poison training data to implant backdoor into the victim model. Current backdoor defenses on poisoned data often suffer from high computational costs or low effectiveness against advanced attacks like clean-label and...

Beyond Training-Time Poisoning: Component-Level and Post-Training Backdoors in Deep Reinforcement Learning

Deep Reinforcement Learning DRL systems are increasingly used in safety-critical applications, yet their security remains severely underexplored. This work investigates backdoor attacks, which implant hidden triggers that cause malicious actions only when specific inputs appear in the observation...

Q-Detection: a Quantum-Classical Hybrid Poisoning Attack Detection Method

Data poisoning attacks pose significant threats to machine learning models by introducing malicious data into the training process, thereby degrading model performance or manipulating predictions. Detecting and sifting out poisoned data is an important method to prevent data poisoning attacks...

Exploit for Improper Access Control in Elasticsearch

欢迎各位大佬提BUG,当前版本 AssetScanV1.3 周期 初版：2019年11月28日 V1.0初版编写完成 修改1：2019年12月02日 感谢Shadow·J反馈kali下文件导入异常 修改2：2019年12月03日 V1.1发布，新增ARP存活检测（回滚，测bug） 修改3：2019年12月04日 V1.2发布，修复漏洞脚本异常，修复weblogic脚本 修改4：2019年12月05日 V1.2修改，感谢sevck提供设计思路以及代码不规范问题 修改5：2019年12月05日 V1.2修改，修复IP数据处理异常 修改6：2019年12月19日...

CVE-2025-34061

A backdoor in PHPStudy versions 2016 through 2018 allows unauthenticated remote attackers to execute arbitrary PHP code on affected installations. The backdoor listens for base64-encoded PHP payloads in the Accept-Charset HTTP header of incoming requests, decodes and executes the payload without...