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.

CryptoJS Weak RNG Behind $5.7 Million in Drains Affects Five Crypto Wallet Apps

What Happened

Coinspect has identified CryptoJS.lib.WordArray.random() as the weak random number generator behind the Ill Bloom wallet drains. Introduced in the JavaScript cryptography library 12 years ago, the function supplied weak entropy that affected wallet apps used to generate recovery phrases. Coinspect's on-chain analysis puts the measured theft across two sweeps since late May at a lower bound of

Why It Matters

The report says a weak RNG in CryptoJS.lib.WordArray.random() was used by affected wallet apps to generate recovery phrases, and that this weakness contributed to at least $5.7 million in drains across five crypto wallet applications. It also states that phrases created through the vulnerable path remain guessable even if later imported into a hardware wallet, and that rehashing or a later package update cannot restore missing entropy.[1][5] From a RealGround perspective, this is a fintech supply-chain and secure-crypto implementation risk: teams should inventory dependent packages, identify whether any seed or key material was generated through the vulnerable function, and rotate exposed wallets or secrets immediately.[1][4]

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to fintech AI risk. 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/cryptojs-weak-rng-behind-57-million-in.html