1038 matches found
Context-Aware Phishing Email Detection Using Machine Learning and NLP
Phishing attacks remain among the most prevalent cybersecurity threats, causing significant financial losses for individuals and organizations worldwide. This paper presents a machine learning-based phishing email detection system that analyzes email body content using natural language processing...
Machine Learning Transferability for Malware Detection
Malware continues to be a predominant operational risk for organizations, especially when obfuscation techniques are used to evade detection. Despite the ongoing efforts in the development of Machine Learning ML detection approaches, there is still a lack of feature compatibility in public...
Detecting Protracted Vulnerabilities in Open Source Projects
Timely resolution and disclosure of vulnerabilities are essential for maintaining the security of open-source software. However, many vulnerabilities remain unreported, unpatched, or undisclosed for extended periods, exposing users to prolonged security threats. While various vulnerability...
cosmos-predict2 (>=1.0.6 <=1.0.9), entity-model (>=1.0.0 <=1.0.9) +19 more potentially affected by CVE-2025-33247 via megatron-core (>=0.10.0 <=0.15.2)
megatron-core PYPI version =0.10.0, =1.0.6, =1.0.0, =5.1.6, =1.0.0, =0.1.0rc0, =0.1.0rc1, =0.1.0, =1.0.0, =2.0.8, =1.0.0, =2.0.8, =1.0.0, =1.0.0, =1.0.7 and more Source cves: CVE-2025-33247 Source advisory: SNYK:PYTHON-MEGATRONCORE-15871031...
cosmos-predict2 (>=1.0.6 <=1.0.9), entity-model (>=1.0.0 <=1.0.9) +19 more potentially affected by CVE-2026-24152 via megatron-core (>=0.10.0 <=0.15.2)
megatron-core PYPI version =0.10.0, =1.0.6, =1.0.0, =5.1.6, =1.0.0, =0.1.0rc0, =0.1.0rc1, =0.1.0, =1.0.0, =2.0.8, =1.0.0, =2.0.8, =1.0.0, =1.0.0, =1.0.7 and more Source cves: CVE-2026-24152 Source advisory: SNYK:PYTHON-MEGATRONCORE-15871035...
TLS Certificate and Domain Feature Analysis of Phishing Domains in the Danish .Dk Namespace
Phishing attacks remain a persistent cybersecurity threat, and the widespread adoption of TLS certificates has unintentionally enabled malicious websites to appear trustworthy to users. This study examines whether certificate metadata and domain characteristics can help distinguish phishing domai...
AEGIS: From Clues to Verdicts -- Graph-Guided Deep Vulnerability Reasoning Via Dialectics and Meta-Auditing
Large Language Models LLMs are increasingly adopted for vulnerability detection, yet their reasoning remains fundamentally unsound. We identify a root cause shared by both major mitigation paradigms agent-based debate and retrieval augmentation: reasoning in an ungrounded deliberative space that...
CVE-2026-33147
A flaw was found in GMT Generic Mapping Tools, an open-source collection of command-line tools. This vulnerability, a stack-based buffer overflow, occurs when a specially crafted long string is used as a dataset identifier. An attacker could exploit this to cause the application to crash or...
CVE-2026-33147
GMT is an open source collection of command-line tools for manipulating geographic and Cartesian data sets. In versions from 6.6.0 and prior, a stack-based buffer overflow vulnerability was identified in the gmtremotedatasetid function within src/gmtremote.c. This issue occurs when a specially...
EUVD-2026-13784
GMT is an open source collection of command-line tools for manipulating geographic and Cartesian data sets. In versions from 6.6.0 and prior, a stack-based buffer overflow vulnerability was identified in the gmtremotedatasetid function within src/gmtremote.c. This issue occurs when a specially...
CVE-2026-33147 GMT: Stack-based Buffer Overflow in gmt_remote_dataset_id
GMT is an open source collection of command-line tools for manipulating geographic and Cartesian data sets. In versions from 6.6.0 and prior, a stack-based buffer overflow vulnerability was identified in the gmtremotedatasetid function within src/gmtremote.c. This issue occurs when a specially...
CVE-2026-33147
GMT is an open source collection of command-line tools for manipulating geographic and Cartesian data sets. In versions from 6.6.0 and prior, a stack-based buffer overflow vulnerability was identified in the gmtremotedatasetid function within src/gmtremote.c. This issue occurs when a specially...
CVE-2026-33147 GMT: Stack-based Buffer Overflow in gmt_remote_dataset_id
GMT is an open source collection of command-line tools for manipulating geographic and Cartesian data sets. In versions from 6.6.0 and prior, a stack-based buffer overflow vulnerability was identified in the gmtremotedatasetid function within src/gmtremote.c. This issue occurs when a specially...
CVE-2026-33147
GMT is an open-source suite of CLI tools for geographic/Cartesian data. A stack-based buffer overflow was identified in the gmt_remote_dataset_id function (src/gmt_remote.c) affecting versions up to 6.6.0. Trigger occurs when a specially crafted long string is passed as a dataset identifier (e.g....
CVE-2026-33147 GMT: Stack-based Buffer Overflow in gmt_remote_dataset_id
GMT is an open source collection of command-line tools for manipulating geographic and Cartesian data sets. In versions from 6.6.0 and prior, a stack-based buffer overflow vulnerability was identified in the gmtremotedatasetid function within src/gmtremote.c. This issue occurs when a specially...
PT-2026-26669
GMT is an open source collection of command-line tools for manipulating geographic and Cartesian data sets. In versions from 6.6.0 and prior, a stack-based buffer overflow vulnerability was identified in the gmt remote dataset id function within src/gmt remote.c. This issue occurs when a speciall...
Generic Mapping Tools 安全漏洞
The Generic Mapping Tools is an open-source set of geographic data mapping and processing tools. Versions of Generic Mapping Tools 6.6.0 and earlier contain security vulnerabilities. These vulnerabilities stem from the gmtremotedatasetid function, which handles specially crafted long strings and...
A Novel Solution for Zero-Day Attack Detection in IDS Using Self-Attention and Jensen-Shannon Divergence in WGAN-GP
The increasing sophistication of cyber threats, especially zero-day attacks, poses a significant challenge to cybersecurity. Zero-day attacks exploit unknown vulnerabilities, making them difficult to detect and defend against. Existing approaches patch flaws and deploy an Intrusion Detection Syst...
Cyber-Resilient Digital Twins: Discriminating Attacks for Safe Critical Infrastructure Control
Industrial Cyber-Physical Systems ICPS face growing threats from cyber-attacks that exploit sensor and control vulnerabilities. Digital Twin DT technology can detect anomalies via predictive modelling, but current methods cannot distinguish attack types and often rely on costly full-system...
