Research-Driven Offensive Security

Breaking Modern Systems Before Attackers Do

Assessing how modern systems fail across AI platforms, cloud infrastructure, embedded devices, and connected vehicles.

Research Multiple CVEs
Recognition Apple Security Hall of Fame
Specialization AI/LLM • Cloud • IoT • Automotive
Services

Security Testing Focus Areas

We test what attackers target. Our assessments cover emerging attack surfaces that traditional security testing often misses.

Research

Vulnerabilities & CVEs

Our security research has resulted in multiple CVEs and acknowledgments in Apple's Security Hall of Fame. We maintain active participation in bug bounty programs and vendor vulnerability research programs.

Bug Bounty Expertise

Our lead researcher xploiterr maintains a top ranking on HackerOne. View HackerOne profile →

CVE-2024-2083

Directory traversal in zenml-io/zenml MLOps repository.

View CVE →
CVE-2024-4263

Broken access control in mlflow/mlflow AI/LLM platform.

View CVE →
CVE-2023-48295

Stored XSS in LibreNMS network monitoring tool.

View CVE →
CVE-2024-5124

Timing attack in chuanhuchatgpt LLM GUI application.

View CVE →
Approach

Research-Driven Testing

We approach security testing from an attacker's perspective. Our assessments are informed by active security research, vulnerability discovery, and real-world exploitation techniques.

Attacker Mindset

We think like attackers. Our testing methodology focuses on realistic attack scenarios, not compliance checklists.

Research-Backed

Our testing techniques are validated through active security research and vulnerability discovery.

Technical Depth

We go beyond surface-level testing. Firmware analysis, protocol reverse engineering, and custom exploit development when needed.

Actionable Outcomes

Every finding includes remediation guidance, risk context, and prioritized recommendations for immediate implementation.

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