Network Security Channel
2.57K subscribers
5.33K photos
3.42K videos
5.56K files
4.44K links
شروع از سال 1395
Security Operation Center (SOC)
Bug Bounty
Vulnerability
Pentest
Hardening
Linux
Reasearch
Security Network
Security Researcher
DevSecOps
Blue Team
Red Team
Download Telegram
Galit_Shmueli_Peter_C_Bruce_Peter_Gedeck_Nitin_R_Patel_Data_Mining.pdf
12.3 MB
2020 Data Mining for Business Analytics_ Concepts, Techniques and Applications in Python-Wiley Galit Shmueli_ Peter C. Bruce_ Peter Gedeck_ Nitin R. Patel -

#DataMining #Data_Mining #DM #Business #Analytics #Python #Wiley

کانال آموزش کامپیوتر
@Engineer_Computer
Cyber risk is calculated by considering the identified security threat, its degree of vulnerability, and the likelihood of exploitation. At a high level, this can be quantified as follows:
Cyber risk = Threat x Vulnerability x Information Value

In the newly revised How to Measure Anything in Cybersecurity Risk, Second Edition, a pioneering information security professional and a leader in quantitative analysis methods delivers yet another eye-opening text applying the quantitative language of risk analysis to cybersecurity. In the book, the authors demonstrate how to quantify uncertainty and shed light on how to measure seemingly intangible goals. It's a practical guide to improving risk assessment with a straightforward and simple framework.

How to Measure Anything in Cybersecurity Risk
Second Edition
DOUGLAS W. HUBBARD
RICHARD SEIERSEN
Logo: Wiley
Copyright © 2023 by John Wiley & Sons, Inc. All rights reserved.
https://lnkd.in/euz7HM8Y

-Business Secure Continuity-
1402.03.21
#cybersecurity #job #training #help #university #future #security #business #sansinstitute #eccouncil #iso22301 #nistcybersecurityframework #isaca #cissp
#isc2 #redteam #blueteam #csirt #forensics #splunksecurity #siem #otsecurity

@Engineer_Computer
Infosec Standards
NIST SP 800-124 r2:
Guidelines for Managing the Security of Mobile Devices in the Enterprise May 2023


-Business Secure Continuity-
1402.03.29


#DiyakoSecureBow
#businessanalyst #infosec #securitymanagement #security #business
@Engineer_Computer
#DiyakoSecureBow

No Network Access
Sandboxes don't have network access, so if a malicious document can compromise one, it can't phone home

Optional OCR
Dangerzone can optionally OCR the safe PDFs it creates, so it will have a text layer again

Reduced File Size
Dangerzone compresses the safe PDF to reduce file size

Open Docs Safely
After converting, Dangerzone lets you open the safe PDF in the PDF viewer of your choice, which allows you to open PDFs and office docs in Dangerzone by default so you never accidentally open a dangerous document

HOW IT WORKS
Dangerzone works like this: You give it a document that you don't know if you can trust (for example, an email attachment). Inside of a sandbox, Dangerzone converts the document to a PDF (if it isn't already one), and then converts the PDF into raw pixel data: a huge list of of RGB color values for each page. Then, in a separate sandbox, Dangerzone takes this pixel data and converts it back into a PDF.

#cyberresilience #event #stage #business #help #siem #threatintelligence #threatdetection #threathunting #threatvulnerabilitymanagement #threatanalysis #network #data #pdf #email #like
#DiyakoSecureBow

Analytics
OWASP Top 10 API Security Risks - 2023

Risk:
1.
API1:2023 - Broken Object Level Authorization
Description:
APIs tend to expose endpoints that handle object identifiers, creating a wide attack surface of Object Level Access Control issues. Object level authorization checks should be considered in every function that accesses a data source using an ID from the user.

2.
API2:2023 - Broken Authentication
Authentication mechanisms are often implemented incorrectly, allowing attackers to compromise authentication tokens or to exploit implementation flaws to assume other user's identities temporarily or permanently. Compromising a system's ability to identify the client/user, compromises API security overall.

3.
API3:2023 - Broken Object Property Level Authorization
This category combines API3:2019 Excessive Data Exposure and API6:2019 - Mass Assignment, focusing on the root cause: the lack of or improper authorization validation at the object property level. This leads to information exposure or manipulation by unauthorized parties.

4.
API4:2023 - Unrestricted Resource Consumption
Satisfying API requests requires resources such as network bandwidth, CPU, memory, and storage. Other resources such as emails/SMS/phone calls or biometrics validation are made available by service providers via API integrations, and paid for per request. Successful attacks can lead to Denial of Service or an increase of operational costs.

5.
API5:2023 - Broken Function Level Authorization Complex access control policies with different hierarchies, groups, and roles, and an unclear separation between administrative and regular functions, tend to lead to authorization flaws. By exploiting these issues, attackers can gain access to other users’ resources and/or administrative functions.
https://owasp.org/API-Security/editions/2023/en/0x11-t10

@Engineer_Computer

#businessadvisor #cyberdefense #data #gpt4 #ai #cybersecurityawareness #cybersecuritytraining #cybercrime #cyberdefense #networksecurity
#securityaudit #intelligenceéconomique #analytics #research #mal #malware #reverseengineering #engineering #team #business #software #security