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.

Over 440,000 Exploit Attempts Target Super Forms and Elementor Pro RCE Flaws

What Happened

Threat actors are exploiting two critical security flaws in WordPress plugins Super Forms and Elementor Pro, according to findings from Wordfence. The vulnerabilities in question are - CVE-2026-14894 (CVSS score: 9.8) - A missing file type validation vulnerability in Super Forms – Drag & Drop Form Builder that allows unauthenticated attackers to upload files of any type, including

Why It Matters

Report facts: The article describes active exploitation of two critical RCE vulnerabilities in popular WordPress plugins Super Forms and Elementor Pro, with over 440,000 exploit attempts observed, including a missing file type validation issue that allows unauthenticated arbitrary file uploads. These flaws enable remote code execution on affected web properties, threatening site integrity and data security. RealGround analysis: While the vulnerabilities target traditional web plugins rather than AI components, they pose an indirect AI risk where compromised CMS infrastructure can be used to tamper with AI-integrated websites, inject malicious content into AI-powered agents, or corrupt data flowing into AI systems. Organizations should treat plugin and CMS security as part of their AI supply chain controls, maintaining SBOMs for web components, enforcing rigorous patch management, and regularly assessing AI-adjacent infrastructure for exploitation paths that could impact AI services.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to AI supply chain. 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/over-440000-exploit-attempts-target.html