SilkParasite Espionage Campaign Targets Central Asian Governments with Five New RATs
Bitdefender reports SilkParasite, a China-nexus espionage cluster targeting Central Asian governments with seven RATs, five newly documented, delivered via spearphished RAR archives.
Bitdefender Labs assesses with medium confidence that SilkParasite, first discovered in late 2025, is a China-nexus cluster targeting government bodies in Uzbekistan, Turkmenistan, Kyrgyzstan, Tajikistan, Kazakhstan, and Georgia. Attacks use password-protected RAR archives with malicious Office documents, macro-triggered DLL sideloading, and checks for running Kaspersky AV before execution. The arsenal spans seven RAT families in .NET, C++, Go, and JavaScript with plugin architectures and diverse C2 channels including Google Drive and HTTP cookie/ETag headers; roughly 65 DriveSilkRAT infections were observed, mostly in Asia. Ties to China include BLOODALCHEMY (a Deed RAT/ShadowPad descendant) and an improved SpiceRAT used by SneakyChef, with traces of AI-assisted development in the tooling and lures.
Hackers Use Autonomous AI Agents to Launch Mass Credential Theft Attacks in Under 6 Hours
Google Cloud reports attackers used autonomous AI agents to steal thousands of credentials including 23,800 secrets in a sub-six-hour campaign.
Google Cloud threat intelligence observed financially motivated attackers compromising cloud infrastructure and using AI coding agents guided by written playbook files to scan, harvest and rotate credentials within six hours. An exposed C2 dashboard for a framework called Recon organized and validated more than 23,800 stolen secrets, including API keys for cloud and AI services. Related activity includes UNC6780 publishing the trojanized tiktoken_mcp package on PyPI to target CI/CD tokens and the DUSTMAKER stealer hiding in .claude, .vscode and .cursor workspace directories.
GTIG AI Threat Tracker: From Prompting to Autonomy – The Evolution of Adversarial AI
GTIG's Q2 2026 tracker shows adversaries adopting agentic AI workflows, including credential harvesting in under six hours and supply chain attacks by UNC6780.
Google Threat Intelligence Group's Q2 2026 report documents adversaries moving from basic prompting to agentic AI workflows and automation, including a cloud compromise followed by agent-enabled mass credential harvesting executed in under six hours. It tracks financially motivated actor UNC6780 (TeamPCP) conducting large-scale open source supply chain compromises across PyPI, npm, and Docker Hub since March 2026, deploying credential stealers. The report also highlights growing targeting of proprietary AI models, source code, prompts, and API credentials, plus LLMJacking practices where adversaries steal developer credentials or hijack cloud infrastructure to run unauthorized AI workloads.
Philippine Nuclear and Naval Targets Hit by Suspected Chinese Operator
Suspected Chinese-speaking operator breached Philippine nuclear research and naval supplier systems via ownCloud CVE-2023-49103 and WordPress CVE-2024-28000.
Hunt.io found an exposed staging server containing custom Python scripts, logs, and stolen data documenting intrusions against a Philippine nuclear research body and a marine engineering company serving the Philippine Navy. The actor exploited an ownCloud authentication bypass (CVE-2023-49103) using empty-secret pre-signed WebDAV URLs and a LiteSpeed Cache plugin flaw (CVE-2024-28000) to gain WordPress admin access, also guessing passwords against XML-RPC with rockyou.txt. Roughly 9 GB was referenced as stolen from the nuclear agency, including reactor databases, radiation-safety records, and staff passport data; Simplified Chinese labels suggest a Chinese-speaking operator.