Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Datadog

Monitor Content Security Policy violations with Datadog

Content Security Policy (CSP) is a W3C standard that helps defend web applications against cross-site scripting (XSS), clickjacking, and other code injection attacks. CSP is often deployed by using an HTTP header (or, less commonly, a element) to specify which types of resources are allowed to load on your site and where those resources can come from.

Datadog on Detecting Threats using Network Traffic Flows

At Datadog’s scale, with over 18,000 customers sending trillions of data points per day, analyzing the volume of data coming in can be challenging. One of the largest log sources internally at Datadog are networking logs. Being able to analyze and make sense of them is critical to keep Datadog secure. To help with the task, we have built a flow analysis pipeline that alerts against network level Indicators of Compromise (IOCs) like IP address, port combinations, and data exchanged.

Detect cryptocurrency mining in your environment with Datadog Cloud SIEM

Cryptocurrency mining (or crypto mining) can be a lucrative yet resource-intensive operation, so cyber threat actors are targeting more organizations in order to take advantage of their cloud resources for mining. Datadog Cloud SIEM can now help you monitor your cloud-based systems for unwanted crypto mining via a built-in detection rule. All you need to get started is to configure your resource logs with Datadog’s @network.client.ip standard attribute.

Introducing Datadog Application Security Monitoring

Securing modern-day production systems is expensive and complex. Teams often need to implement extensive measures, such as secure coding practices, security testing, periodic vulnerability scans and penetration tests, and protections at the network edge. Even when organizations have the resources to deploy these solutions, they still struggle to keep pace with software teams, especially as they accelerate their release cycles and migrate to distributed systems and microservices.

Best practices for reducing sensitive data blindspots and risk

Modern applications log vast amounts of personal and business information that should not be accessible to external sources. Organizations face the difficult task of securing and storing this sensitive data in order to protect their customers and remain compliant. But there is often a lack of visibility into the sensitive data that application services are logging, especially in large-scale environments, and the requirements for handling it can vary across industries and regions.

The Spring4Shell vulnerability: Overview, detection, and remediation

On March 29, 2022, a critical vulnerability targeting the Spring Java framework was disclosed. This vulnerability was initially confused with a vulnerability in Spring Cloud, CVE-2022-22963. However, it was later identified as a separate vulnerability inside Spring Core, now tracked as CVE-2022-22965 and canonically named Spring4Shell.

The Dirty Pipe vulnerability: Overview, detection, and remediation

The situation with Dirty Pipe is rapidly evolving. We will update the information in this blog as it is released publicly. On March 7, 2022, Max Kellermann publicly disclosed a vulnerability in the Linux kernel, later named Dirty Pipe, which allows underprivileged processes to write to arbitrary readable files, leading to privilege escalation. This vulnerability affects kernel versions starting from 5.8.