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.

Telegram Desktop Flaw Lets Hidden JavaScript Exfiltrate Messages From HTML Exports

What Happened

A flaw in Telegram Desktop let a bot's message plant hidden JavaScript inside chats that users exported to HTML files, security researchers at ExPatch said in a writeup published on September 12. In Telegram, the message looked ordinary, with a link button, and the script ran only when someone opened the export file in a web browser. It could then copy every message in that file to

Why It Matters

Report facts: Security researchers from ExPatch disclosed a flaw in Telegram Desktop where a bot could send a seemingly normal message containing a link button that, when chats were exported to HTML and opened in a browser, executed hidden JavaScript. That script could then exfiltrate all messages contained in the HTML export file, compromising the confidentiality of the chat history. RealGround analysis: While this issue targets Telegram’s client export mechanism rather than an AI model directly, it illustrates a broader data leakage pattern where untrusted, script-capable content embedded in exports or logs can exfiltrate sensitive data when rendered. For AI systems that generate or store HTML or rich content (e.g., agent logs, report exports), secure agent design and ongoing red teaming should ensure exports are script-sanitized, rendered in hardened contexts, and tested against similar content-based exfiltration paths.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to data leakage. 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/telegram-desktop-flaw-lets-hidden.html