39298 matches found
cybersecurity-home-lab-btp
🛡️ Laboratorio Domestico di Cybersecurity — Rilevamento e Monitoraggio B.Tech Project BTP | IIIT Pune Basato su: "Designing and Implementing an Effective Cybersecurity Home Lab for Detection and Monitoring" — ICCCNT 2023, IIT Delhi Un laboratorio domestico di cybersecurity completamente funzionant...
SUSE CVE-2026-75147
FFmpeg before commit 983dae9 contains an out-of-bounds read in the AV1 RTP packetizer libavformat/rtpencav1.c. The keyframe detection loop that searches for a sequence header OBU advanced its pointer and remaining-size counter by the encoded header length plus the OBU payload size without first...
Joern 4.0.611
Joern is the bug hunter's workbench. With this tool, you can uncover attack surface, sloppy coding practices, and variants of known vulnerabilities using an interactive code analysis shell. Joern supports C, C++, LLVM bitcode, x86 binaries via Ghidra, JVM bytecode via Soot, and Javascript...
Research Methodologies for Cybersecurity in Enterprise Environments: A Narrative Review, Synthesis and Executable Guide
Enterprise cybersecurity research draws on a wider range of methods than any single community routinely teaches. Researchers face a selection problem before they face a technical one: a study may simultaneously need a systematic review, a design-science artifact, a controlled detection experiment...
Defending Network Intrusion Detection Systems Based on Graph Neural Networks against Structural Adversarial Attacks
Graph Neural Networks GNNs represent a promising solution for Machine Learning ML based Network Intrusion Detection Systems NIDS, thanks to their ability to leverage both network flow features and topological patterns. While GNN classifiers demonstrate superior robustness against feature-based...
qla2xxxpci_error_detected Heap Buffer Overflow DoS
The vulnerability of the qla2xxxpcierrordetected function in the drivers/scsi/qla2xxx/qlaos.c driver module for Linux SCSI devices is related to error handling flaws. Exploiting this vulnerability could allow an attacker to cause service failures...
Towards LLM-Enhanced Android Taint Analysis
Taint analysis is a fundamental technique for detecting sensitive data leaks in Android apps. However, traditional static tools, such as FlowDroid, still face well-known challenges due to the complexity of accurately modeling the Android framework. In this paper, we investigate whether...
CVE-2026-06555
creationtimestamp| type| source ---|---|--- 2026-08-24 21:00:04+00:00| seen| Telegram/0Lzh2WjQOWsuTydOWekHZzZKDiwWQ3jcpMbWJHlr9UUA 2026-08-25 00:00:09+00:00| published-proof-of-concept| Telegram/0Lzh2WjQOWsuTydOWekHZzZKDiwWQ3jcpMbWJHlr9UUA...
CVE-2026-74686
A flaw was found in the Linux kernel's rqspinlock component. During deadlock detection, the system may not correctly reset the tail of the waiter queue. This improper handling can cause the system to wait indefinitely for a subsequent waiter that never arrives, leading to an indefinite stall and ...
MAL-2026-14401 Malicious code in multyproccess (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 7938a109a642dfe8b161e9568d6373a038c3413c0fd1f2b01702f4f173348553 The package's setup.py overrides the install and develop cmdclass to base64-decode a bundled request/.payload file and launch it via...
Malicious code in multyproccess (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 7938a109a642dfe8b161e9568d6373a038c3413c0fd1f2b01702f4f173348553 The package's setup.py overrides the install and develop cmdclass to base64-decode a bundled request/.payload file and launch it via...
Closing the Gap Between Detection and Protection with AI-Assisted Custom Rules
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Robustness of Anomaly Detection Models for Industrial Control Systems under Training-Time Data Contamination
Machine-learning-based anomaly detection is increasingly used in industrial control systems ICS, yet most studies assume that detector training data is trustworthy. In practice, training data may be corrupted through compromised logs, labeling errors, manipulated historian records, or unsafe...
WPProbe Plugin Enumeration Tool 0.12.9
A fast WordPress plugin and theme scanner that detects installed plugins via REST API enumeration and themes from HTML discovery, then maps them to known vulnerabilities. Over 5,000 plugins detectable without brute-force, thousands more with it...
Adapter-Based Few-Shot Continual Learning for Malicious Packet Recognition
The continual evolution of malware variants necessitates detection systems that can adapt to new threats without retraining from scratch. However, continually updating models on new data often leads to catastrophic forgetting, where previously learned knowledge is overwritten. While continual...
RAD: Rule-Augmented Relational Anomaly Detection
Anomaly detection is often applied to data stored in relational databases, yet most existing methods require flattening multiple tables into a single feature matrix. This flattening can obscure entity identity, schema structure, and multi-hop dependencies, limiting the detection of anomalies that...
Effective Pivot Attack Detection Via System and Network Information
Perimeter-based security appliances, such as firewalls or Intrusion Detection Systems, are ineffective against modern attacks that use pivoting, wherein attackers "pivot" traffic through compromised hosts to gain access to additional targets that would otherwise be inaccessible. Due to the...
The Surprising Effectiveness of LLMs in BGP Security: Mining an Unprecedented Amount of Incidents and Boosting Anomaly Detection
Border Gateway Protocol BGP security is critical to Internet infrastructure, yet progress in routing anomaly detection has been limited by the scarcity of publicly available incident datasets, which contain only 18 recorded cases. We observe that public operator mailing lists, e.g., NANOG and...
