130 matches found
jackdaw
jackdaw gather gather gather What is this? Jackdaw is here to collect all information in your domain, store it in a SQL database and show you nice graphs on how your domain objects interact with each-other an how a potential attacker may exploit these interactions. It also comes with a handy...
sandsifter
s a n d s i f t e r : the x86 processor fuzzer Overview The sandsifter audits x86 processors for hidden instructions and hardware bugs, by systematically generating machine code to search through a processor's instruction set, and monitoring execution for anomalies. Sandsifter has uncovered secre...
netstat2neo4j
Netstat Visualization with Neo4j Description Graphs help to spot anomalies and patterns in large datasets. This script takes netstat information from multiple hosts and formats them in a way to make them importable into Neo4j. Neo4j can be queried for find connections to certain hosts, from certa...
rootkit-detection-ebpf-time-trace
Detecção de Rootkits com Rastreamento de Tempo via eBPF Este repositório contém código para coletar medições de tempo de funções do kernel que são manipuladas por rootkits quando eles ocultam arquivos, bem como um método de detecção semissupervisionado que analisa mudanças nos tempos de execução...
Filter-Then-Verify: A Multiphase GNN and ModernBERT Framework for Social Engineering Detection in Email Networks
Social engineering attacks exploit human trust rather than software vulnerabilities, making them difficult to detect using conventional filters. We propose a two-stage filter-then-verify framework combining inductive Graph Neural Networks GNNs for structural anomaly detection with a co-attention...
Simplifying AWS defense with Microsoft Sentinel UEBA
In this article 1. Under the hood: The tables 2. Traditional vs. new approach 3. Real-world attack scenarios: Microsoft Sentinel UEBA in action 4. Practical implementation: Getting started 5. Limitations and constraints 6. From raw logs to behavioral context With the expansion of Microsoft Sentin...
CVE-2026-5943
Document structural anomalies caused inconsistencies between page element relationships and internal index states. When scripts triggered document modifications, object reference validity was not properly maintained, leading to a crash when accessing an invalid pointer during page information...
CVE-2026-5943 Foxit PDF Editor/Reader AcroForm Annotation Use-After-Free Remote Code Execution Vulnerability
Document structural anomalies caused inconsistencies between page element relationships and internal index states. When scripts triggered document modifications, object reference validity was not properly maintained, leading to a crash when accessing an invalid pointer during page information...
EUVD-2026-25829
Document structural anomalies caused inconsistencies between page element relationships and internal index states. When scripts triggered document modifications, object reference validity was not properly maintained, leading to a crash when accessing an invalid pointer during page information...
Foxit PDF Editor < 13.2.4 Multiple Vulnerabilities
According to its version, the Foxit PDF Editor application previously named Foxit PhantomPDF installed on the remote Windows host is prior to 13.2.4. It is, therefore affected by multiple vulnerabilities: - Document structural anomalies caused inconsistencies between page element relationships an...
PT-2026-35405
Document structural anomalies caused inconsistencies between page element relationships and internal index states. When scripts triggered document modifications, object reference validity was not properly maintained, leading to a crash when accessing an invalid pointer during page information...
net_exploit_detector
netexploitdetector.py Behavioral network exploit detector f...
Everyday tools, extraordinary crimes: the ransomware exfiltration playbook
Data exfiltration activity increasingly leverages legitimate native utilities, commonly deployed third-party tools, and cloud service clients, reducing the effectiveness of static indicators of compromise IOCs and tool-based blocking strategies. The Exfiltration Framework systematically normalize...
AegisUI: Behavioral Anomaly Detection for Structured User Interface Protocols in AI Agent Systems
AI agents that build user interfaces on the fly assembling buttons, forms, and data displays from structured protocol payloads are becoming common in production systems. The trouble is that a payload can pass every schema check and still trick a user: a button might say "View invoice" while its...
Shai-Hulud 2.0: Guidance for detecting, investigating, and defending against the supply chain attack
The Shai‑Hulud 2.0 supply chain attack represents one of the most significant cloud-native ecosystem compromises observed recently. Attackers maliciously modified hundreds of publicly available packages, targeting developer environments, continuous integration and continuous delivery CI/CD...
Quantum Autoencoders for Anomaly Detection in Cybersecurity
Anomaly detection in cybersecurity is a challenging task, where normal events far outnumber anomalous ones with new anomalies occurring frequently. Classical autoencoders have been used for anomaly detection, but struggles in data-limited settings which quantum counterparts can potentially...
GNN-Enhanced Traffic Anomaly Detection for Next-Generation SDN-Enabled Consumer Electronics
Consumer electronics CE connected to the Internet of Things are susceptible to various attacks, including DDoS and web-based threats, which can compromise their functionality and facilitate remote hijacking. These vulnerabilities allow attackers to exploit CE for broader system attacks while...
EUVD-2019-14896
Malware in sbrugna...