Research & news

Dream researchers push technology to its furthest edge, building and testing breakthrough capabilities, from artificial intelligence and advanced threat hunting to malware reverse engineering, and vulnerability research in existing and emerging attack surfaces.

Operating at the frontier of cyber and artificial intelligence research, we turn bold ideas into working innovation that strengthens how nations anticipate, understand, and neutralize the most complex threats.

Vulnerability advisory: Rogue CA Injection in Samba's AD Certificate Enrollment
Dream Research Labs
June 7, 2026

The DREAM Security Research Team has identified a critical security vulnerability in Samba's Group Policy certificate auto-enrollment extension.

Gulf states push for sovereign AI as cyber risks grow
Gulf News Report
May 26, 2026

UAE’s focus shifts from AI adoption to securing national digital control

Vulnerability Advisory: Unauthenticated Remote Code Execution in ScadaBR 1.2.0
Dream Research Labs
May 25, 2026

The DREAM Security Research Team has identified four security vulnerabilities in ScadaBR 1.2.0, an open-source SCADA platform. These findings were reported to CISA and published on May 19, 2026.Successful exploitation of these vulnerabilities could allow an attacker to perform unauthenticated remote code execution.No patch is available. The ScadaBR project has been dormant since 2021 and has not published a patch.

Our Latest Black Hat Asia Talk: Introducing the RFC Analyzer
Dream Research Labs
April 30, 2026

Arad Inbar, a security researcher from our research group at DREAM, recently presented at Black Hat Singapore. The talk focused on using protocol specifications, specifically RFCs, as a primary surface for vulnerability discovery.

How We Discovered The Microsoft’s Plan For Mitigating Local NTLM Relay
Dream Research Labs
April 28, 2026

One of the most powerful ways to understand what a security patch actually fixes is to reverse engineer the binaries before and after the update. Vendors rarely disclose full vulnerability details immediately, but the code always tells the truth. By performing a binary diff, researchers can quickly identify which parts of the code changed and infer the class of vulnerabilities that the patch mitigates.

Six Lessons From Making Our AI Security Agent Explainable
The Dream Team
April 16, 2026

We built an AI agent for security teams. It analyzes configs, hunts for vulnerabilities, investigates threats. Here’s what we underestimated: security people are paid to be paranoid. They don’t trust systems they can’t audit.And honestly? They shouldn’t.So we built an explainability layer. Not just “here’s what we found” but “here’s why we think that, and here’s how you can check.”Here’s what worked, what didn’t, and what surprised us.

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