CVE-2017-18839

Certain NETGEAR devices are affected by stored XSS. This affects M4300-28G before 12.0.2.15, M4300-52G before 12.0.2.15, M4300-28G-POE+ before 12.0.2.15, M4300-52G-POE+ before 12.0.2.15, M4300-8X8F before 12.0.2.15, M4300-12X12F before 12.0.2.15, M4300-24X24F before 12.0.2.15, M4300-24X before...

CVE-2014-125037

A vulnerability, which was classified as critical, was found in License to Kill. This affects an unknown part of the file models/injury.rb. The manipulation of the argument name leads to sql injection. The patch is named cd11cf174f361c98e9b1b4c281aa7b77f46b5078. It is recommended to apply a patch...

CVE-2018-13367

An information exposure vulnerability in FortiOS 6.2.3, 6.2.0 and below may allow an unauthenticated attacker to gain platform information such as version, models, via parsing a JavaScript file through admin webUI...

CVE-2019-13581

An issue was discovered in Marvell 88W8688 Wi-Fi firmware before version p52, as used on Tesla Model S/X vehicles manufactured before March 2018, via the Parrot Faurecia Automotive FC6050W module. A heap-based buffer overflow allows remote attackers to cause a denial of service or execute arbitra...

CVE-2017-18827

Certain NETGEAR devices are affected by stored XSS. This affects M4300-28G before 12.0.2.15, M4300-52G before 12.0.2.15, M4300-28G-POE+ before 12.0.2.15, M4300-52G-POE+ before 12.0.2.15, M4300-8X8F before 12.0.2.15, M4300-12X12F before 12.0.2.15, M4300-24X24F before 12.0.2.15, M4300-24X before...

CVE-2013-5693

Cross-site scripting XSS vulnerability in X2Engine X2CRM before 3.5 allows remote attackers to inject arbitrary web script or HTML via the model parameter to index.php/admin/editor...

An End-To-End Model for Logits Based Large Language Models Watermarking

The rise of LLMs has increased concerns over source tracing and copyright protection for AIGC, highlighting the need for advanced detection technologies. Passive detection methods usually face high false positives, while active watermarking techniques using logits or sampling manipulation offer...

Ericsson RAN Compute and Site Controller 6610 安全漏洞

Ericsson RAN Compute and Site Controller 6610 is a computer and site controller from Ericsson Sweden. A security vulnerability exists in the Ericsson RAN Compute and Site Controller 6610 that stems from insufficient input validation and could lead to arbitrary code execution...

Robust LLM Fingerprinting Via Domain-Specific Watermarks

As open-source language models OSMs grow more capable and are widely shared and finetuned, ensuring model provenance, i.e., identifying the origin of a given model instance, has become an increasingly important issue. At the same time, existing backdoor-based model fingerprinting techniques often...

Password Strength Detection Via Machine Learning: Analysis, Modeling, and Evaluation

As network security issues continue gaining prominence, password security has become crucial in safeguarding personal information and network systems. This study first introduces various methods for system password cracking, outlines password defense strategies, and discusses the application of...

Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models

The widespread adoption of encrypted communication protocols such as HTTPS and TLS has enhanced data privacy but also rendered traditional anomaly detection techniques less effective, as they often rely on inspecting unencrypted payloads. This study aims to develop an interpretable machine...

Dynamic Encryption-Based Cloud Security Model Using Facial Image and Password-Based Key Generation for Multimedia Data

In this cloud-dependent era, various security techniques, such as encryption, steganography, and hybrid approaches, have been utilized in cloud computing to enhance security, maintain enormous storage capacity, and provide ease of access. However, the absence of data type-specific encryption and...

ReCopilot: Reverse Engineering Copilot in Binary Analysis

Binary analysis plays a pivotal role in security domains such as malware detection and vulnerability discovery, yet it remains labor-intensive and heavily reliant on expert knowledge. General-purpose large language models LLMs perform well in programming analysis on source code, while...

CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning

Fine-tuning-as-a-service, while commercially successful for Large Language Model LLM providers, exposes models to harmful fine-tuning attacks. As a widely explored defense paradigm against such attacks, unlearning attempts to remove malicious knowledge from LLMs, thereby essentially preventing th...

CVE-2025-44083

An issue in D-Link DI-8100 16.07.26A1 allows a remote attacker to bypass administrator login authentication...

CVE-2025-48265

Cross-Site Request Forgery CSRF vulnerability in Pektsekye Year Make Model Search for WooCommerce ymm-search allows Cross Site Request Forgery.This issue affects Year Make Model Search for WooCommerce: from n/a through = 1.0.11...

Alignment under Pressure: the Case for Informed Adversaries When Evaluating LLM Defenses

Large language models LLMs are rapidly deployed in real-world applications ranging from chatbots to agentic systems. Alignment is one of the main approaches used to defend against attacks such as prompt injection and jailbreaks. Recent defenses report near-zero Attack Success Rates ASR even again...

AI-Driven Dynamic Firewall Optimization Using Reinforcement Learning for Anomaly Detection and Prevention

The growing complexity of cyber threats has rendered static firewalls increasingly ineffective for dynamic, real-time intrusion prevention. This paper proposes a novel AI-driven dynamic firewall optimization framework that leverages deep reinforcement learning DRL to autonomously adapt and update...

Federated Learning-Enhanced Blockchain Framework for Privacy-Preserving Intrusion Detection in Industrial IoT

Industrial Internet of Things IIoT systems have become integral to smart manufacturing, yet their growing connectivity has also exposed them to significant cybersecurity threats. Traditional intrusion detection systems IDS often rely on centralized architectures that raise concerns over data...

eCharge Hardy Barth cPH2和eCharge Hardy Barth cPP2 安全漏洞

The eCharge Hardy Barth cPH2 and eCharge Hardy Barth cPP2 are both an electric vehicle charging station from eCharge. A security vulnerability exists in eCharge Hardy Barth cPH2 and eCharge Hardy Barth cPP2 that originates from an OS command injection in the /var/salia/mqtt.php script, which coul...