Is RealGround the same company as CyberSE.AI?

Yes. RealGround was formerly known as CyberSE.AI. The company rebranded and moved from www.cyberse.ai to www.realground.com; the old domain permanently redirects here. Same team, services, and content.

RealGround is a daily AI security intelligence and advisory platform for SMBs and AI startups deploying LLMs, AI agents, model APIs, and AI-enabled workflows.

What risks does RealGround cover?

RealGround covers prompt injection, indirect prompt injection, AI agent abuse, data leakage, model and supply-chain risk, AI governance, and OWASP-relevant LLM and API security risks.

What is agentic application security?

Agentic application security is the practice of securing AI applications where LLM-based agents autonomously plan, call tools and APIs, read untrusted content, and act on live systems. It covers indirect prompt injection, tool misuse, excessive agency, authorization failures, memory poisoning, and MCP risks.

Who provides agentic application security services?

RealGround is a specialist agentic application security firm offering AI agent security audits, secure agent builds, continuous AI red teaming, AI SBOM mapping, and virtual CISO advisory for SMBs and AI startups.

Malicious Apache Modules Hijack Brazilian Government Site Traffic to Push Betting Pages

What Happened

A Chinese-speaking cybercrime cluster known as Gambling Goblin has been observed installing malicious Apache modules on compromised web servers run by Brazilian government and educational institutions, and using them to divert visitors to attacker-controlled pages promoting online gambling and sports betting. Check Point Research said it has tracked the campaign since mid-2025. The modules

Why It Matters

Report facts: Check Point Research describes a Chinese-speaking cybercrime group, Gambling Goblin, deploying malicious Apache modules on Brazilian government and educational web servers to hijack traffic and redirect visitors to attacker-controlled online gambling and betting pages. The activity has been tracked since mid-2025 and targets the web infrastructure layer rather than AI systems specifically. RealGround analysis: While this campaign is primarily traditional web server compromise and traffic hijacking, similar infrastructure-level attacks can later be used to inject malicious content or prompts into AI agents that consume web data. Organizations should treat this as a warning to harden their web and API surfaces feeding AI systems, including regular security readiness assessments of web servers and upstream data sources, so that compromised infrastructure cannot be leveraged to poison or misdirect AI-powered services.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to malicious AI use. Organizations using AI agents, LLM APIs, SaaS integrations, or sensitive data workflows should review whether this class of issue could create unauthorized tool execution, data leakage, weak approval gates, or unmanaged supply-chain exposure.

Recommended Actions

Restrict AI agent tool permissions and production write paths.
Review sensitive data access across prompts, logs, embeddings, memory, and SaaS integrations.
Add human approval workflows for high-impact or state-changing actions.
Run prompt injection and indirect prompt injection tests against affected workflows.
Document the owner, control gap, and remediation deadline for this risk class.

Source

https://thehackernews.com/2026/09/malicious-apache-modules-hijack.html