2033 matches found
CVE-2025-52883: Improper Validation of Specified Type of Input
Meshtastic-Android is an Android application for the mesh radio software Meshtastic. Prior to version 2.5.21, an attacker is able to send an unencrypted direct message to a victim impersonating any other node of the mesh. This message will be displayed in the same chat that the victim normally...
Intelligent ARP Spoofing Detection Using Multi-Layered Machine Learning (ML) Techniques for IoT Networks
Address Resolution Protocol ARP spoofing remains a critical threat to IoT networks, enabling attackers to intercept, modify, or disrupt data transmission by exploiting ARP's lack of authentication. The decentralized and resource-constrained nature of IoT environments amplifies this vulnerability,...
Deep CNN Face Matchers Inherently Support Revocable Biometric Templates
One common critique of biometric authentication is that if an individual's biometric is compromised, then the individual has no recourse. The concept of revocable biometrics was developed to address this concern. A biometric scheme is revocable if an individual can have their current enrollment i...
Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT
Address Resolution Protocol ARP spoofing attacks severely threaten Internet of Things IoT networks by allowing attackers to intercept, modify, or block communications. Traditional detection methods are insufficient due to high false positives and poor adaptability. This research proposes a...
Detecting Hardware Trojans in Microprocessors via Hardware Error Correction Code-based Modules
Software-exploitable Hardware Trojans HTs enable attackers to execute unauthorized software or gain illicit access to privileged operations. This manuscript introduces a hardware-based methodology for detecting runtime HT activations using Error Correction Codes ECCs on a RISC-V microprocessor...
Towards Effective Complementary Security Analysis Using Large Language Models
A key challenge in security analysis is the manual evaluation of potential security weaknesses generated by static application security testing SAST tools. Numerous false positives FPs in these reports reduce the effectiveness of security analysis. We propose using Large Language Models LLMs to...
Analyzing PDFs like Binaries: Adversarially Robust PDF Malware Analysis Via Intermediate Representation and Language Model
Malicious PDF files have emerged as a persistent threat and become a popular attack vector in web-based attacks. While machine learning-based PDF malware classifiers have shown promise, these classifiers are often susceptible to adversarial attacks, undermining their reliability. To address this...
PRISON: Unmasking the Criminal Potential of Large Language Models
As large language models LLMs advance, concerns about their misconduct in complex social contexts intensify. Existing research overlooked the systematic understanding and assessment of their criminal capability in realistic interactions. We propose a unified framework PRISON, to quantify LLMs'...
Tech-ASan: Two-Stage Check for Address Sanitizer
Address Sanitizer ASan is a sharp weapon for detecting memory safety violations, including temporal and spatial errors hidden in C/C++ programs during execution. However, ASan incurs significant runtime overhead, which limits its efficiency in testing large software. The overhead mainly comes fro...
Linux kernel 安全漏洞
Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in Linux kernel that stems from not properly handling PMI flags, which could lead to false positives in warning messages...
Multi-Use LLM Watermarking and the False Detection Problem
Digital watermarking is a promising solution for mitigating some of the risks arising from the misuse of automatically generated text. These approaches either embed non-specific watermarks to allow for the detection of any text generated by a particular sampler, or embed specific keys that allow...
CVE-2025-49189
The HttpOnlyflag of the session cookie "@@" is set to false. Since this flag helps preventing access to cookies via client-side scripts, setting the flag to false can lead to a higher possibility of Cross-Side-Scripting attacks which target the stored cookies...
Improper Certificate Validation
Overview devsecops-engine-tools is a Tool for DevSecOps strategy Affected versions of this package are vulnerable to Improper Certificate Validation via the getaccesstokenclientcredentials function, which uses the requests.request function with verify=False configured. Remediation Upgrade...
SDN-Based False Data Detection with Its Mitigation and Machine Learning Robustness for In-Vehicle Networks
As the development of autonomous and connected vehicles advances, the complexity of modern vehicles increases, with numerous Electronic Control Units ECUs integrated into the system. In an in-vehicle network, these ECUs communicate with one another using an standard protocol called Controller Are...
Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection
Money laundering is a financial crime that poses a serious threat to financial integrity and social security. The growing number of transactions makes it necessary to use automatic tools that help law enforcement agencies detect such criminal activity. In this work, we present Amatriciana, a nove...
Medium: python-requests
Issue Overview: Requests is a HTTP library. Prior to 2.32.0, when making requests through a Requests Session, if the first request is made with verify=False to disable cert verification, all subsequent requests to the same host will continue to ignore cert verification regardless of changes to th...
CVE-2025-20257
A vulnerability in an API subsystem of Cisco Secure Network Analytics Manager and Cisco Secure Network Analytics Virtual Manager could allow an authenticated, remote attacker with low privileges to generate fraudulent findings that are used to generate alarms and alerts on an affected product. Th...
CVE-2024-36611
In Symfony v7.07, a security vulnerability was identified in the FormLoginAuthenticator component, where it failed to adequately handle cases where the username or password field of a login request is empty. This flaw could lead to various security risks, including improper authentication logic...
CVE-2024-35150
IBM Maximo Application Suite 8.10.12, 8.11.0, 9.0.1, and 9.1.0 - Monitor Component does not neutralize output that is written to logs, which could allow an attacker to inject false log entries...