Adversarial Machine Learning for Robust Password Strength Estimation

Passwords remain one of the most common methods for securing sensitive data in the digital age. However, weak password choices continue to pose significant risks to data security and privacy. This study aims to solve the problem by focusing on developing robust password strength estimation models...

Transformers for Secure Hardware Systems: Applications, Challenges, and Outlook

The rise of hardware-level security threats, such as side-channel attacks, hardware Trojans, and firmware vulnerabilities, demands advanced detection mechanisms that are more intelligent and adaptive. Traditional methods often fall short in addressing the complexity and evasiveness of modern...

Aurora: Are Android Malware Classifiers Reliable under Distribution Shift?

The performance figures of modern drift-adaptive malware classifiers appear promising, but does this translate to genuine operational reliability? The standard evaluation paradigm primarily focuses on baseline performance metrics, neglecting confidence-error alignment and operational stability...

M3S-UPD: Efficient Multi-Stage Self-Supervised Learning for Fine-Grained Encrypted Traffic Classification with Unknown Pattern Discovery

The growing complexity of encrypted network traffic presents dual challenges for modern network management: accurate multiclass classification of known applications and reliable detection of unknown traffic patterns. Although deep learning models show promise in controlled environments, their...

Language of Network: a Generative Pre-Trained Model for Encrypted Traffic Comprehension

The increasing demand for privacy protection and security considerations leads to a significant rise in the proportion of encrypted network traffic. Since traffic content becomes unrecognizable after encryption, accurate analysis is challenging, making it difficult to classify applications and...

Weak-Jamming Detection in IEEE 802.11 Networks: Techniques, Scenarios and Mobility

State-of-the-art solutions detect jamming attacks ex-post, i.e., only when jamming has already disrupted the wireless communication link. In many scenarios, e.g., mobile networks or static deployments distributed over a large geographical area, it is often desired to detect jamming at the early...

CVE-2025-5157

The CVE-2025-5157 issue affects H3C SecCenter SMP-E1114P02 up to 20250513. It targets the function fileContent in /cfgFile/fileContent, where manipulating the filePath argument enables path traversal. The vulnerability is exploitable remotely and is classified as critical. The available documents...

Toward Malicious Clients Detection in Federated Learning

Federated learning FL enables multiple clients to collaboratively train a global machine learning model without sharing their raw data. However, the decentralized nature of FL introduces vulnerabilities, particularly to poisoning attacks, where malicious clients manipulate their local models to...

WordPress WP SMTP plugin <= 2.1.5 - Unauthenticated Stored Cross-Site Scripting via Email vulnerability

Unauthenticated Stored Cross-Site Scripting via Email vulnerability discovered by zer0gh0st in WordPress Plugin WP SMTP versions = 2.1.5...

CVE-2024-7853

A vulnerability was found in SourceCodester Yoga Class Registration System up to 1.0. It has been classified as critical. Affected is an unknown function of the file /admin/?page=categories/viewcategory. The manipulation of the argument id leads to sql injection. It is possible to launch the atta...

CVE-2024-7659

A vulnerability, which was classified as problematic, was found in projectsend up to r1605. Affected is the function generaterandomstring of the file includes/functions.php of the component Password Reset Token Handler. The manipulation leads to insufficiently random values. It is possible to...

CVE-2024-10498

CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer vulnerability exists that could allow an unauthorized attacker to modify configuration values outside of the normal range when the attacker sends specific Modbus write packets to the device which could result in...

CVE-2024-7069

A vulnerability, which was classified as critical, has been found in SourceCodester Employee and Visitor Gate Pass Logging System 1.0. This issue affects some unknown processing of the file /employeegatepass/classes/Master.php?f=deletedepartment. The manipulation of the argument id leads to sql...

CVE-2023-4445

A vulnerability, which was classified as critical, has been found in Mini-Tmall up to 20230811. Affected by this issue is some unknown functionality of the file product/1/1?test=1&test2;=2&. The manipulation of the argument orderBy leads to sql injection. The attack may be launched remotely. The...

CVE-2023-41293

Data security classification vulnerability in the DDMP module. Successful exploitation of this vulnerability may affect confidentiality...

CVE-2023-30961

Palantir Gotham was found to be vulnerable to a bug where under certain circumstances, the frontend could have applied an incorrect classification to a newly created property or link...

CVE-2023-3465

A vulnerability was found in SimplePHPscripts Classified Ads Script 1.8. It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the file user.php of the component HTTP POST Request Handler. The manipulation of the argument title leads to cross site...

CVE-2021-43708

The Labeling tool in Titus Classification Suite 18.8.1910.140 allows users to avoid the generation of a classification label by using Excel's safe mode...

WordPress ReDi Restaurant Reservation plugin <= 24.1209 - Reflected Cross Site Scripting (XSS) vulnerability

Reflected Cross Site Scripting XSS vulnerability discovered by Ryan Novotny in WordPress Plugin ReDi Restaurant Reservation versions = 24.1209...

CVE-2019-20634

An issue was discovered in Proofpoint Email Protection through 2019-09-08. By collecting scores from Proofpoint email headers, it is possible to build a copy-cat Machine Learning Classification model and extract insights from this model. The insights gathered allow an attacker to craft emails tha...