aseitylab

{"schema_version":"1.7.4","id":"MAL-2026-17240","published":"2026-09-28T21:24:44Z","modified":"2026-10-25T23:40:11.583524519Z","summary":"Malicious code in aseitylab (PyPI)","details":"\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: amazon-inspector (9b47f0f7a0776cad3d4c83604d35a0023a250d2f035e58129233095aa2b110a3)\naseitylab/_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(..., '<aseitylab-compat>', '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.\n\n## Source: kam193 (24b99c2059065cbe44f7dac2f1d2878b237c58150c0890baa1856852e76fcb24)\nDuring 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.\n\n\n---\n\nCategory: MALICIOUS - The campaign has clearly malicious intent, like infostealers.\n\n\nCampaign: 2026-09-donutautosellsrc\n\n\nReasons (based on the campaign):\n\n\n - infostealer\n\n\n - Downloads and executes a remote executable.\n\n\n - obfuscation\n\n\n - The package contains code to detect if it is running in a sandbox environment.\n\n\n - malware\n\n\n - native-extension\n\n\n - steganography\n\n\n - c2-in-blockchain\n","affected":[{"package":{"name":"aseitylab","ecosystem":"PyPI"},"versions":["0.1.0","0.1.1"],"database_specific":{"cwes":[{"cweId":"CWE-506","description":"The product contains code that appears to be malicious in nature.","name":"Embedded Malicious Code"}],"indicators":{"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"}]}}}],"references":[{"type":"EVIDENCE","url":"https://www.virustotal.com/gui/file/d03c42c275f0dbc617428441508c49ae1adcbbc95af4eeb094bca4e4f8943f3e/detection"},{"type":"WEB","url":"https://polygonscan.com/address/0x9c0a507300fd902787bb193d80fca5ce6e1bff9a"},{"type":"WEB","url":"https://bad-packages.kam193.eu/pypi/package/aseitylab"},{"type":"PACKAGE","url":"https://pypi.org/project/aseitylab/0.1.0/"}],"database_specific":{"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"]},{"id":"pypi/2026-09-donutautosellsrc/aseitylab","import_time":"2026-10-25T23:38:10.324756452Z","modified_time":"2026-09-28T21:24:44.922816Z","sha256":"7a9abd6aaf665ceab13368a8983572e4df9a895f45b0fee615c2d2a1e82bd0f8","source":"kam193","versions":["0.1.0","0.1.1"]}]},"credits":[{"name":"Amazon Inspector","contact":["inspector-research@amazon.com"],"type":"FINDER"},{"name":"Kamil Mańkowski (kam193)","contact":["https://github.com/kam193","https://bad-packages.kam193.eu/"],"type":"REPORTER"}]}