CyberX - The Ethical Hacking Services

Most organizations know which systems are exposed.

Much fewer know how those systems relate to the rest of the infrastructure.

During Red Team engagements, CyberX evaluates how access can move across an environment by analyzing authentication relationships, permissions, trust between systems, exposed services, cloud resources, and internal connectivity.

The objective is to understand how far an attacker could realistically progress after gaining an initial foothold.

This perspective helps organizations prioritize remediation based on operational impact rather than isolated findings.

If you're looking to better understand your organization's exposure, get in touch with CyberX and discover how our team can help strengthen your security posture.

One security incident can leave critical questions unanswered. Finding those answers helps organizations move forward with confidence.

After containment, understanding what actually happened becomes a critical part of the recovery process.

At CyberX, digital forensic investigations reconstruct attacker activity using technical evidence collected across systems, endpoints, logs, and infrastructure.

Our investigations help establish:
➡️ How initial access was obtained
➡️ Which systems and accounts were involved
➡️ What actions were performed during the intrusion
➡️ Whether sensitive information was accessed or exfiltrated
➡️ If mechanisms for continued access remain in the environment

This analysis provides organizations with a reliable picture of the incident, supporting remediation efforts, compliance requirements, and future security improvements based on evidence rather than assumptions.

A critical flaw found in Amazon Q Developer showed how a malicious repository could trick the assistant into hijacking a developer's entire cloud session.

The moment a developer cloned a compromised repo and trusted the workspace, the AI ex*****on environment automatically inherited their active cloud keys, tokens, and API secrets, giving attackers direct access without needing a password.

This isn't just an Amazon issue. Similar configuration flaws have recently hit other major AI tools like Claude Code and Cursor. The root cause is always the same: giving an AI tool the freedom to automatically run background processes based on untrusted project files creates a massive security blind spot.

Amazon has already patched the gap, requiring developers to manually approve these commands before they run. If your engineering team uses Amazon Q across VS Code, JetBrains, or Visual Studio, ensure they update their AWS plugins immediately.

Assuming your local development environment is inherently safe is a major oversight. How is your team managing the security of the AI tools plugged into your source code?

See more: https://thehackernews.com/2026/06/amazon-q-developer-flaw-could-let.html

Organizations typically focus their security efforts on assets that are intentionally exposed to the internet, such as websites, VPN gateways, cloud applications, and external services.

These assets are important, but they rarely represent the full scope of operational exposure.
Security assessments frequently uncover relationships between systems that create additional paths for access.

Administrative platforms, internal applications, cloud integrations, shared authentication mechanisms, and third-party services often introduce connectivity that expands the environment beyond what traditional inventories suggest.

Understanding exposure requires more than identifying individual assets. It requires understanding how systems interact, which permissions exist between them, and how access can move through those relationships.

This perspective often reveals risks that remain invisible when assets are evaluated in isolation.