What is SAP Threat Intelligence?
In this article, we will look at the prerequisites for SAP Threat Intelligence – and how it could look like. The generally accepted definition of Threat Intelligence is as follows: Threat intelligence is evidence-based information about cyber-attacks organized and analyzed by cyber security experts. This is also valid for SAP but must be specifically refined.
Let’s start with an example. In December 2021, the log4j vulnerability shocked the IT divisions and prevented them from enjoying a relaxing Christmas time. The CVSS 10 Vulnerability for Log4j, a widely used component, does not have an easy fix. Instead, the IT and security experts had to search for the use of the component before delivering the fixing strategy. SAP customers had to rely on the immediate actions of the security team of SAP SE to provide a fix.
The Log4j incident can be an example to illustrate how little insight companies usually have on which components they use.
The missing piece:
Not knowing can be a benefit, but not when it comes to SAP security. The foundation for any form of intelligence is data, or in other words, the transparency that should be applied in the area of intelligence.
This is an important aspect, the missing piece for Threat Intelligence for SAP is often the lack of understanding of threats and attack vectors. Companies are in the dark about missing security patches for specific components. Similarly, there is a lack of visibility into an insecure configuration actively exploited in their SAP NetWeaver application. Let us look at: What data for SAP Threat Intelligence is needed?
Foundation for Threat Intelligence:
Often, securing the SAP systems is pushed to the end of the task list because special dependencies need to be considered. These dependencies tend to make an already complex topic even more. Furthermore, the dependencies between, for example, system configuration and customer-specific application development increase the coordination effort between the departments. To create the basis for threat intelligence concerning SAP applications, the following areas must be analyzed:
1. System configuration:
All security-relevant parameters and their current setting must be filed and known. At first, no dependency among the individual parameters must be known. This needs to be considered later. Each vulnerability should be classified according to exploitation risk and effort of remediation.
2. Custom code security:
Furthermore, there are almost always vulnerabilities in the customer’s programming in addition to SAP standard product vulnerabilities that get fixed by regular security updates. The program code needs checking for backdoors or SQL injection vulnerabilities. All vulnerabilities should be recorded and sorted according to severity.
3. Missing security patches:
Security patches are released on a monthly cycle by the SAP Security Response Teams. Since there is no central overview of the missing security updates for SAP systems, it is very time-consuming to collect this information. Unfortunately, this is an essential part of Threat Detection for SAP.
4. Interface landscape:
Especially for SAP security, it is important to take a detailed look at the integration landscape and the ways of integration. SAP systems communicate via Remote Function Calls (RFC). RFC connections are set up for this purpose, which if configured incorrectly, can easily be misused by attackers.
5. Log collection and triaging:
SAP systems record almost all important information required to detect attacks in various logs. For some details, a separate query, like one of the SAP user masters, must be made. The information must be freed from transactional content and reduced to security-relevant content.
What does SAP Threat Intelligence look like?
Threat Intelligence can be applied only when data is available. It is possible to establish the actual threat intelligence through data mining, pattern recognition, and dependency matrices. We have not only implemented the methods mentioned above in our SecurityBridge but also include the statistical detection of anomalies. Through a bird-eye view, intelligent conclusions can be made that can even trigger automatic actions. Unfortunately, the threat scenario is constantly changing. Therefore, the once established catalog of use cases on the customer side has to be continuously adapted.
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