8 posts
A cryptocurrency-mining campaign is actively exploiting CVE-2026-33017, an unauthenticated RCE vulnerability in Langflow, to deploy the lambsys malware. The attack chain involves a bash dropper that establishes SSH-based lateral movement, followed by a Go-based payload that systematically disables Linux security controls, eliminates rival miners, and deploys a customized XMRig miner.
A coordinated supply chain attack compromised 19 PyPI packages, utilizing malicious .pth files to achieve execution at Python startup. The loader downloads the Bun runtime to execute an obfuscated JavaScript stealer targeting developer secrets, cloud credentials, and CI/CD tokens, exfiltrating data via GitHub repositories and Actions.
The TrapDoor campaign is a sophisticated supply chain attack targeting crypto, DeFi, and AI developers across npm, PyPI, and Crates.io. The threat actor deployed over 34 malicious packages that utilize ecosystem-specific execution methods to steal credentials, wallets, and SSH keys, while uniquely leveraging AI configuration files like .cursorrules to trick AI assistants into executing exfiltration workflows.
Trend Micro identified two distinct threat campaigns, SHADOW-AETHER-040 and SHADOW-AETHER-064, leveraging agentic AI to orchestrate attacks against Latin American government and financial institutions. The attackers utilized AI models like Anthropic's Claude to dynamically generate scripts, analyze configurations, and establish SOCKS5 tunnels for lateral movement, demonstrating a shift towards AI-assisted, signature-evasive intrusion operations.
A software supply chain campaign attributed to the GitHub account 'BufferZoneCorp' published malicious Ruby gems and Go modules designed to steal developer secrets and compromise CI/CD environments. The packages impersonate legitimate developer tools to execute install-time and runtime payloads that harvest credentials, tamper with GitHub Actions workflows, manipulate Go dependency resolution, and establish SSH persistence.
AI-assisted malware development has rapidly matured, driven largely by the adoption of models like DeepSeek R1, which lowers the barrier to entry for threat actors. This surge has resulted in a high volume of structurally novel malware, including infostealers, RATs, and ransomware, many of which evade traditional signature-based detection while leaving distinct LLM-generated artifacts in their code.
A new information stealer named BoryptGrab is being distributed through deceptive GitHub repositories that masquerade as legitimate software tools. The malware employs complex infection chains involving DLL side-loading, VBS downloaders, and encrypted payloads to deliver the stealer alongside additional backdoors like TunnesshClient and HeaconLoad.
The article highlights the critical need to transition various network protocols, including SSH, IPsec, OpenPGP, and DNSSEC, to post-quantum cryptography (PQC) to mitigate the 'harvest now, decrypt later' threat. While TLS and SSH have clear upgrade paths with hybrid key exchanges, protocols like DNSSEC face complex architectural challenges due to signature sizes and UDP limitations.
