🏆 Nominations for the 2026 Burp Suite Extension Awards close THIS TUESDAY ⚠️
Week 3 of Extensibility month is almost wrapped - here's what happened, what's still to come, and how to get your nomination in before it's too late 👇
(picussecurity.com) UNC2891: Anatomy of a Sophisticated Bank Heist Using CAKETAP Rootkit and Raspberry Pi-Based Attacks
UNC2891, a financially motivated threat group active since 2017, has executed sophisticated attacks on banking infrastructure using custom malware and physical access vectors. Their latest campaign in Q1 2025 involved planting a 4G-enabled Raspberry Pi on a bank’s network switch to bypass perimeter defenses, enabling ATM fraud via Payment HSM manipulation.
In brief - UNC2891 targets financial institutions with advanced Linux/Solaris malware, including the CAKETAP rootkit, to authorize fraudulent ATM withdrawals. A recent attack used a Raspberry Pi for initial access, highlighting evolving physical and digital threats to banking systems.
Technically - UNC2891 employs CAKETAP (Solaris kernel rootkit) to hook system calls like `mkdirat` and `ipcl_get_next_conn`, enabling stealthy C2 and network manipulation. SLAPSTICK (PAM backdoor) captures credentials, while TINYSHELL (backdoor) communicates over raw TCP (ports 53/443). Tools like WINGHOOK (keylogger) and STEELHOUND (in-memory dropper) facilitate credential harvesting and payload execution. The CAKETAP variant on ATM switches bypasses card/PIN verification by replaying HSM responses.
RE: https://mastodon.social/@marver/116617742819891906
If you don't recognize "Starlette":
"Starlette is the foundation of the FastAPI Python framework."
... and everything uses FastAPI.
Patch Starlette now! If you're run it via uvicorn or other common ASGI servers then a host header parsing issue can lead to vulnerabilities leading from auth bypass up until RCE! Examples for affected packages are liteLLM, vllm, etc... Here is the X41 Advisory:
@danluu part of the argument is that not just that it might not be profitable now, but that the amount of profitable that it would need to be to justify the amount of capital expenditure that has already been made and is promised is numerically impossible. JPMorgan estimated 1.2 trillion in AI debt back in december 2025, goldman sachs estimates another 500 billion in 2026. Where is the evidence that inference is profitable enough to pay off 1.7 trillion? If it was really profitable, all the publicly traded AI companies would be screaming this at the top of their quarterly reports.