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.

Critical Gitea Flaw Let Unauthenticated Attackers Read Server Files via Org-Mode Markup

What Happened

An unauthenticated attacker can read any file the service account can access on Gitea, the self-hosted Git platform, in versions 1.22.1 through 1.27.0. No login, no repository write access. A public repository and crafted Org-mode markup are enough. The flaw is fixed in Gitea 1.27.1. The file-read flaw is tracked as CVE-2026-59774, rated Critical with a CVSS score of 9.8, and received its

Why It Matters

The article reports a critical Gitea vulnerability (CVE-2026-59774, CVSS 9.8) that allows unauthenticated remote attackers to read arbitrary files accessible to the Gitea service account by abusing Org‑mode markup via the POST /{owner}/{repo}/markup endpoint in versions 1.22.1–1.27.0, fixed in 1.27.1.[1][2] Public repositories with markup rendering enabled are enough for exploitation, and reading configuration files such as app.ini can be chained into command execution via internal tokens and malicious Git hooks.[1][2] From a RealGround perspective, any AI development or MLOps pipeline that relies on self‑hosted Gitea for code, model artifacts, secrets, or deployment configs is exposed to supply‑chain data theft and possible RCE, which can compromise model weights, training code, orchestration logic, and CI/CD for AI services. Organizations should treat Gitea as a critical AI supply‑chain component: rigorously patch to 1.27.1+, review markup endpoints and hooks for abuse, and include Gitea in SBOM-driven asset inventories and continuous red‑teaming of AI infrastructure.

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/2026/08/critical-gitea-flaw-let-unauthenticated.html