-= Per source details. Do not edit below this line.=-
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.
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.
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.
{
"iocs": {
"domains": [
"thisisafalsepositive.st",
"sltnnt.ru"
],
"urls": [
"https://thisisafalsepositive.st/cdn/v2/9f4e7a2c1b8d.png",
"https://thisisafalsepositive.st/cdn/v2/promotion/manifest.json"
]
},
"malicious-packages-origins": [
{
"id": "pypi/2026-09-donutautosellsrc/aseity",
"import_time": "2026-09-27T15:16:24.602624157Z",
"modified_time": "2026-09-27T14:15:46.125923Z",
"sha256": "cf65ea5c0fe1eeef9f47a75d65e291a715094076714694247ad03714eabc53ca",
"source": "kam193",
"versions": [
"0.1.0"
]
},
{
"id": "IN-MAL-2026-020578",
"import_time": "2026-09-28T14:21:43.6255932Z",
"modified_time": "2026-09-28T14:17:43Z",
"sha256": "d65d0df302f9fdd618d08a8bc095702f5b6594712ba82205c758c710fee9006e",
"source": "amazon-inspector",
"versions": [
"0.1.0"
]
},
{
"id": "pypi/2026-09-donutautosellsrc/aseity",
"import_time": "2026-09-28T22:18:26.130227673Z",
"modified_time": "2026-09-27T14:15:46.125923Z",
"sha256": "16b7922f1908a09623723d954ad42997eef7a97144e450cb23f0898b2d459f0d",
"source": "kam193",
"versions": [
"0.1.0"
]
}
]
}[
{
"cweId": "CWE-506",
"description": "The product contains code that appears to be malicious in nature.",
"name": "Embedded Malicious Code"
}
]
{
"evidence_files": [
{
"path": "aseity/compat.py",
"sha256": "bcbf1ed8bcb83753f6913abbc6b41b9d8c394464ed0d93a33b98052d42af05e3",
"tlsh": "6401947194542cf1f224b41a8961e4acc1ad6e0b7d256014bc4c47ec1fa5b12c1e25ec"
},
{
"path": "aseity/_shimdata.py",
"sha256": "d404bdb4515aa25231f59e7ddfd6592b29b98dc78231fc1efb6fee585ee9eb27",
"tlsh": "9c312b12fc610521626a782e0ca468a85df137e3da19bb55d0dbdaa75c431c5e8c9370"
}
],
"package_integrity": [
{
"filename": "aseity-0.1.0.tar.gz",
"hashes": {
"blake2b_256": "40ab26f62939196cd3d687c84892295fee2e06f519ed099599872d6ab0bf47c4",
"md5": "3740ee6048df40a0154ef546df874663",
"sha256": "9c223b8caa928ca44161921ab62d6e8d68208d6cbea4a50ddb2ae61d2ab3200e"
}
}
]
}
"https://github.com/ossf/malicious-packages/blob/main/osv/malicious/pypi/aseity/MAL-2026-17200.json"