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.

WeaselBiscuit Stealer Spreads via 13 npm Packages to Harvest Chrome Extension Storage

What Happened

Cybersecurity researchers have discovered a cluster of 13 npm packages that have been found to deliver a previously undocumented JavaScript stealer codenamed WeaselBiscuit. The new malware family, per OpenSourceMalware, exhibits functional overlaps with two malware strains associated with the Democratic People's Republic of Korea's (DPRK) Contagious Interview campaign: BeaverTail and

Why It Matters

The report says security researchers identified 13 npm packages distributing a previously undocumented JavaScript stealer called WeaselBiscuit, which can harvest Chrome extension storage. The article also notes functional overlap with malware linked to the DPRK Contagious Interview campaign. RealGround analysis: this is best classified as an AI supply chain risk because the compromise enters through a software package ecosystem that could affect AI-related development and deployment pipelines, increasing the need for dependency vetting and inventory controls.

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/weaselbiscuit-stealer-spreads-via-13.html