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.

Attackers Bypass WAFs to Exploit Oracle PeopleSoft Flaw and Deploy Web Shells

What Happened

Google is warning of renewed mass exploitation of a known security vulnerability in Oracle PeopleSoft as part of a campaign targeting multiple sectors globally. The ShinyHunters-linked activity involves the weaponization of CVE-2026-35273 (CVSS score: 9.8), a critical security flaw that could result in unauthenticated remote code execution. The vulnerability was first exploited as a zero-day

Why It Matters

The report describes renewed exploitation of Oracle PeopleSoft vulnerability CVE-2026-35273 by UNC6240/ShinyHunters, including URL-encoded WAF bypasses, unauthenticated remote code execution, and web-shell deployment. The incident is not specifically about artificial intelligence; its limited AI relevance is that compromised enterprise software could affect systems supporting AI services or their data. RealGround analysis: organizations should inventory dependencies, verify patching and exposure, and assess whether PeopleSoft integrations create risks for AI-related data or workflows.

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/attackers-bypass-wafs-to-exploit-oracle.html