aseity

Source: amazon-inspector (d65d0df302f9fdd618d08a8bc095702f5b6594712ba82205c758c710fee9006e)
setup.py invokes aseity.compat._ensure_compat, which base64+zlib-decodes the DATA constant shipped in aseity/_shimdata.py and passes the resulting Python source to exec(), so the payload runs automatically on `pip install`. aseity/__init__.py runs the same routine, so a bare `import aseity` also triggers it. The decoded stage-1 performs VM and debugger checks, downloads https://thisisafalsepositive.st/cdn/v2/9f4e7a2c1b8d.png (a PNG carrying a ZIP inside its chunks), extracts a bundled python.exe and AppHost/main.py to a temp directory, and launches subprocess.Popen([py, entry, '-u', _USER, '--env', 'EXE', '--tag', 'PyPi']) with Windows creationflags DETACHED_PROCESS | CREATE_NO_WINDOW (0x00000008 | 0x08000000). A hardcoded per-victim UUID (_USER='e00db386-ab62-4dc1-91fd-21ef9ff3e6ef') is passed to the second stage. The domain thisisafalsepositive.st is not associated with any declared publisher, the delivered bytes are opaque, the payload is hidden as an encoded blob in a data-named module, and the launcher deliberately detaches with no visible window — the shape of a supply-chain dropper deploying a persistent second-stage implant on the installer's host.

Source: kam193 (cf65ea5c0fe1eeef9f47a75d65e291a715094076714694247ad03714eabc53ca)
During installation, obfuscated code is used to fetch code hidden in an image containing a Python application with a native extension module. This module holds an obfuscated infostealer which collects sensitive data and exfiltrates them to a C2 server retrieved from transaction history in the Polygon blockchain.

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Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers.

Campaign: 2026-09-donutautosellsrc

Reasons (based on the campaign):

- infostealer

- Downloads and executes a remote executable.

- obfuscation

- malware

- native-extension

- steganography

- c2-in-blockchain

- The package contains code to detect if it is running in a sandbox environment.