-= Per source details. Do not edit below this line.=-
aseitylab/_shimdata.py contains a large base85-encoded, zlib-compressed blob stored as DATA. aseitylab/compat.py defines _ensure_compat(), which base85-decodes and zlib-inflates DATA and passes the result to exec(compile(..., '', 'exec')). setup.py imports aseitylab.compat and invokes _ensure_compat() during package build/install, and aseitylab/init.py calls the same function on every import, so the decoded payload runs both when the package is installed and whenever it is imported. Execution is gated by environment variables (ASEITYLAB_COMPAT=0, DAS_STAGED=1) that allow the payload to be suppressed in build or test environments. The README advertises a pure-Python task-orchestration toolkit with no runtime dependencies, which does not require a compressed, encoded executable blob shipped as 'compatibility shim data'. MANIFEST.in additionally excludes file names (loader_payload.py, make_armed.py, armed.json, manifest.benign.json) consistent with a build harness that produces separate 'armed' and 'benign' tarballs. The contents of the executed payload are not inspectable from the shipped source; installing or importing the package hands arbitrary code execution to whatever DATA decodes to.
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
The package contains code to detect if it is running in a sandbox environment.
malware
native-extension
steganography
c2-in-blockchain
{
"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/aseitylab",
"import_time": "2026-09-28T22:18:26.131496416Z",
"modified_time": "2026-09-28T21:24:44.922816Z",
"sha256": "24b99c2059065cbe44f7dac2f1d2878b237c58150c0890baa1856852e76fcb24",
"source": "kam193",
"versions": [
"0.1.0",
"0.1.1"
]
},
{
"id": "IN-MAL-2026-020624",
"import_time": "2026-09-29T04:22:41.724812405Z",
"modified_time": "2026-09-29T03:47:52Z",
"sha256": "9b47f0f7a0776cad3d4c83604d35a0023a250d2f035e58129233095aa2b110a3",
"source": "amazon-inspector",
"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": "aseitylab/compat.py",
"sha256": "67a8e98c2d83e13097bf6138c7ca7bc388830df888ec12bc56438859e7adb20b",
"tlsh": "e6019c606d4d1cb2e230b06e8964e4bcc26d5b07be266006bd8c47bc2f30f51d2e28dc"
},
{
"path": "aseitylab/_shimdata.py",
"sha256": "aad65af02297f9594503919fb08845ade61092e9116f314c813ced6d9ca266a2",
"tlsh": "ad31fab54d504edae1ac134423302cfeed221e3d4be69675f9d048d2166e0548550aff"
},
{
"path": "MANIFEST.in",
"sha256": "9f2f4b9007fbab4bf4176ae67d7b3787493575da533a3e0d35a0f6e045ee9c32",
"tlsh": "7fc02230865cb056820d04ea2e609e14a19a2e073aa36313c6090cedec0b5c8d0176aa"
}
]
}
"https://github.com/ossf/malicious-packages/blob/main/osv/malicious/pypi/aseitylab/MAL-2026-17240.json"