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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 -

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@Engineer_Computer
#DiyakoSecureBow

Analytics
2023 Data Breach Investigations Report:

Hello, and welcome first-time readers! Before you get started on the 2023 Data Breach Investigations Report (DBIR), it might be a good idea to take a look at this section first. (For those of you who are familiar with the report, please feel free to jump over to the introduction.) We have been doing this report for a while now, and we appreciate that the verbiage we use can be a bit obtuse at times. We use very deliberate naming conventions, terms and definitions and spend a lot of time making sure we are consistent throughout the report. Hopefully this section will help make all of those more familia

Breaking the string of end-of-year InfoSec milestones set in 2020 with SolarWinds Orion and in 2021
by Log4j, December 2022 was comparatively boring. Intelligence indicated several threat actors were abusing Microsoft developer accounts to get malicious drivers signed through their profiles to be used
in cyberattacks, including ransomware incidents and SIM swapping operations. The streak of months with attacks exploiting zero-day vulnerabilities was extended with reports of successful attacks on Microsoft, Apple, Fortinet and Citrix products. OWASSRF is a new attack chain exploiting on-premises Exchange Servers using the URL rewrite mitigations provided by Microsoft responding to September’s ProxyNotShell attack chain. The Play ransomware threat actors had exploited OWASSRF to attack at least eight victims. Among the best intelligence collections was a virtual order of battle of TA subordinate to Bureau 121 in the Reconnaissance General Bureau (RGB), North Korea’s military intelligence agency.
Special thanks to Dave Kennedy of the Verizon Threat Research Advisory Center (VTRAC) for his continued support and yearly contribution to this report.

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@Engineer_Computer
#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

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