Monitoreo de llamadas al sistema como método de prevención de malware

De acuerdo con la categoría de un malware, se puede inferir que existen patrones de llamadas al sistema (syscalls) que permitirían descubrir qué tipo de malware se está ejecutando sobre un Sistema Operativo GNU/Linux y de esa manera reaccionar ante un ataque de estas características. Para esto es necesario monitorizar las llamadas al sistema en dicho sistema operativo. La herramienta que se presenta es un monitor de llamadas al sistema en tiempo real. Esta herramienta es parte de un proyecto homologado, cuyo objetivo es detectar malware basándose en patrones de llamadas al sistema en GNU/Linux.Workshop: WSI - Seguridad InformáticaRed de Universidades con Carreras en Informátic

Syscall Top: Estrategias de monitoreo de llamadas al sistema en sistemas GNU/Linux

Los procesos que se ejecutan en un sistema GNU/Linux interactúan con el kernel por medio de llamadas al sistema, incluso los malwares. Existen distintas categorías de malware y en base a su comportamiento se puede inferir que existen patrones de llamadas al sistema, o syscalls, que permitirían descubrir qué tipo de malware se está ejecutando sobre un GNU/Linux. El presente trabajo pretende introducir formalmente la herramienta syscall top, la cual permite visualizar las llamadas al sistema interceptadas de todos los procesos y administrar reglas que permitan configurar acciones automáticas en contra de los procesos que no cumplan con dichas reglas. También se presentarán distintas estrategias reactivas frente a posibles ejecuciones de procesos sospechosos de ser ransomwares.XI Workshop Seguridad Informática (WSI)Red de Universidades con Carreras en Informátic

Cobalt Complexes: Introduction and Spectra Analysis

Little abundant on the Earth's surface, cobalt is obtained from the extraction of ores and the most common oxidation states for this element are +2 and +3. The objective of this work was to obtain the hexamincobalt (III) chloride complex from binder substitution reactions and oxidation of the metal center. The complex was characterized by UV-Vis spectroscopy and FTIR. The characteristic bands of strain and stretching of the NH3 molecule present in the compound were identified by FTIR. In the UV-Vis, two bands referring to the electronic transitions 1A1g → 1T1g and 1A1g →1T2g were identified, in addition to the TCML load transfer band. This work aims to contribute to the practical classes of inorganic chemistry. DOI: http://dx.doi.org/10.17807/orbital.v11i6.1242 </p

COVID-19 infection in adult patients with hematological malignancies: a European Hematology Association Survey (EPICOVIDEHA)

Background: Patients with hematological malignancies (HM) are at high risk of mortality from SARS-CoV-2 disease 2019 (COVID-19). A better understanding of risk factors for adverse outcomes may improve clinical management in these patients. We therefore studied baseline characteristics of HM patients developing COVID-19 and analyzed predictors of mortality. Methods: The survey was supported by the Scientifc Working Group Infection in Hematology of the European Hematology Association (EHA). Eligible for the analysis were adult patients with HM and laboratory-confrmed COVID19 observed between March and December 2020. Results: The study sample includes 3801 cases, represented by lymphoproliferative (mainly non- Hodgkin lymphoma n=1084, myeloma n=684 and chronic lymphoid leukemia n=474) and myeloproliferative malignancies (mainly acute myeloid leukemia n=497 and myelodysplastic syndromes n=279). Severe/critical COVID-19 was observed in 63.8% of patients (n=2425). Overall, 2778 (73.1%) of the patients were hospitalized, 689 (18.1%) of whom were admitted to intensive care units (ICUs). Overall, 1185 patients (31.2%) died. The primary cause of death was COVID19 in 688 patients (58.1%), HM in 173 patients (14.6%), and a combination of both COVID-19 and progressing HM in 155 patients (13.1%). Highest mortality was observed in acute myeloid leukemia (199/497, 40%) and myelodysplastic syndromes (118/279, 42.3%). The mortality rate signifcantly decreased between the frst COVID-19 wave (March–May 2020) and the second wave (October–December 2020) (581/1427, 40.7% vs. 439/1773, 24.8%, p value<0.0001). In the multivariable analysis, age, active malignancy, chronic cardiac disease, liver disease, renal impairment, smoking history, and ICU stay correlated with mortality. Acute myeloid leukemia was a higher mortality risk than lymphoproliferative diseases. Conclusions: This survey confrms that COVID-19 patients with HM are at high risk of lethal complications. However, improved COVID-19 prevention has reduced mortality despite an increase in the number of reported cases