Pwn2Own Berlin 2026: On the Ground With TrendAI™ ZDI's Biggest AI Showdown Yet
47 zero-days fell at Pwn2Own Berlin 2026 for US$1,298,250 in payouts. TrendAI™ was on the ground all three days — here's what we saw.
A deeper look at the first three pillars and outlining how our capabilities directly support government agencies working to bring this strategy to life.
47 zero-days fell at Pwn2Own Berlin 2026 for US$1,298,250 in payouts. TrendAI™ was on the ground all three days — here's what we saw.
Today, most organizations already have a broad range of modern security solutions in place, yet many still struggle with a lack of meaningful visibility. The challenge is no longer collecting more security data.
TrendAI™ Research analysed an intrusion where threat actors used the EtherHiding technique to route ClearFake payload delivery through smart contracts on the BNB Smart Chain testnet. The attack chain ended with two simultaneously deployed stealers, SectopRAT and ACRStealer alongside an on-chain execution tracker that confirmed each victim compromise in real time.
Void Dokkaebi, a North Korea-aligned intrusion set, has updated its information-stealing malware, InvisibleFerret, shifting its delivery format to evade script-based detections.
A solo Russian-speaking threat actor ran a 5-year Telegram channel and, starting September 2025, used AI to automate its content, credential theft, and a cryptocurrency fraud scheme targeting American audiences.
In this blog entry, researchers from the TrendAI™ MDR team discuss how they mapped the full end-to-end operation of SHADOW-WATER-063’s Banana RAT banking malware by analysing server-side artefacts and victim-side data.
AI agents now act inside the trust boundary with real credentials, and agentic governance is what keeps them from quietly breaking things at machine speed.
Our research examines the 22 April Checkmarx KICS and 24 April elementary-data incidents as part of a broader TeamPCP supply chain campaign. Across both cases, the actor abused trusted CI/CD and release workflows to steal credentials at scale.
TrendAI™ Research has identified two emerging threat campaigns—SHADOW-AETHER-040 and SHADOW-AETHER-064—that use agentic AI to drive intrusion operations against government and financial organisations in Latin America, marking these among the first cases we have observed of AI agents executing attacks from initial access to data exfiltration.
The Instructure Canvas breach affects universities, K–12 school districts, and teaching hospitals globally. This blog entry intends to provide context and practical guidance.