Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How to mitigate SSRF vulnerabilities in Go

Securing HTTP requests is crucial when developing Go applications to prevent vulnerabilities like Server-Side Request Forgery (SSRF). SSRF occurs when an attacker manipulates a server to make unintended requests, potentially accessing internal services or sensitive data. We will explore how to secure HTTP requests by employing URL parsing and validation techniques, and provide example code to fortify the http.Get HTTP GET request handler.

Open NDR static file analysis powered by YARA

Enhance utility of evidence Identify malicious files from network activity and derive the right context without increasing false positives Improve detection coverage Analyze large volumes of files for detecting threats that can be missed by EDR Drive tool consolidation Consolidate tools and eliminate the need for file extraction, storage and custom scripts.

Correlate Device Classification and Event Visibility with Cato SASE

Managing IoT/OT devices can be challenging, but Cato IoT/OT Security simplifies everything. In this demo, see how Cato's SASE platform enables real-time device discovery, granular visibility, and advanced threat prevention. Watch as malicious IoT activity is detected and blocked seamlessly—no extra products or complex setups required!

Extend IoT/OT Device Visibility in Cato SASE Cloud

Discover how Cato Networks revolutionizes IoT/OT security with its SASE Cloud platform. Watch this demo to see how we ensure seamless visibility, precise policy enforcement, and real-time threat prevention for your enterprise, all while simplifying security management and enhancing operational continuity.

Enforce Policies for IoT/OT Devices with Cato SASE

Managing firewall rules for IoT/OT devices can be complex—but not with Cato Networks. This video demonstrates how to create precise access rules for IoT/OT devices, like blocking Siemens PLC devices, using Cato's flexible, native SASE platform capabilities. Learn how Cato ensures secure, seamless operations. Visit our website for more info!

How YARA rules can complement NDR for malware detection

The Verizon 2024 Data Breach Investigations Report found that system intrusion is the leading attack pattern for the third consecutive year, accounting for 36% of breaches. System intrusion largely consists of a threat actor using hacking techniques and malware to infiltrate the victim organization. Following a successful intrusion, the attacker continues on a multi-stage process: The longer an attacker remains undetected, the greater their opportunity to find a target and extract data.

Elevating Cyber Resilience for Your Business

Protecting your business from cyber threats today means building a stronger tomorrow. As we see firsthand, the digital backdrop has grown increasingly complex, and with it, the risks businesses face daily. AI-powered threats are more sophisticated, making it critical for organizations to evolve their cybersecurity strategies.

Part of the AWS EDP program? Burn down your commit with 11:11 Systems.

If you’re part of Amazon Web Services Enterprise Discount Program (AWS EDP), we can help you make the most of your EDP commitment. That’s because you can burn down some of the amount you’ve committed to spend by leveraging 11:11 solutions and services.

Cloud Logs: The Unsung Heroes of Detection and Response

Cyberattackers are exploring stealthier and more sophisticated methods to infiltrate cloud environments. From exploiting misconfigurations to leveraging stolen credentials, adversaries are skilled at evading detection. Cloud logs are invaluable in helping organizations identify potential threats before they can cause damage.

Arctic Wolf Labs Observes Threat Campaign Targeting Cleo MFT Products - Remediation Guidance

Update: Dec 11, 2024. Find the latest information in our follow-up security bulletin. On December 7, 2024, Arctic Wolf began observing a novel campaign exploiting Cleo Managed File Transfer (MFT) products across several customer environments. Initial indications of malicious activity in this campaign were identified as early as October 19, with a sharp increase in early December.