-= Per source details. Do not edit below this line.=-
The package advertises itself as an 'auth token handler' but its public API (src/ml_core_airflow_auth/init.py) exposes only a trivial in-memory TokenStore stub unrelated to the ~3300 LOC of hidden telemetry code shipped alongside. The setup.py custom install command copies telemetry.pth into site-packages; that.pth file contains import _telemetry_init, causing every subsequent Python interpreter start on the host to auto-load _telemetry_init._bootstrap, which spawns a daemon thread that constructs an analytics Client (Envelope, HttpTransport, ServiceDiscovery, DataScrubber, SessionTracker) and calls client.track('session_start') with the machine's hostname, OS, Python version, and cpu_count. The reporting endpoint is not a static URL; _telemetry_transport.py's ServiceDiscovery opens a raw UDP DNS socket with hardcoded fallback resolvers 8.8.8.8 and 1.1.1.1, queries TXT records under 0.<domain>... N.<domain>, and reconstructs the destination via base64.b64decode(''.join(segments)), letting the operator change the exfiltration destination post-install without republishing. The name, generic 'Platform Engineering' author, and mismatch between the declared purpose and the hidden persistent telemetry framework are consistent with dependency-confusion targeting corporate ML/Airflow environments.
Package presents little functionality, but excessive fake 'telemetry' module. This fake telemetry is used to download and run malicious executables. Code is designed to survive different blocks: first, there is an attempt to download the executable from one of five Cloudflare Workers. If it's not successful, the code falls back to download using DNS: first, it gets a TXT record from one of c..dl.well1[.]site domains, depending on the system. This record returns a number, which is then used to iterate over domains in the form <0...n>..dl.well1[.]site and reconstruct the encoded executable from their TXT records. The downloaded binary is then executed and removed afterward. Using a PTH file ensures persistence and runs on every Python start. In this campaign, versions 0.0.1 hold disarmed code (without the necessary configuration), which is completed in further updates.
This is a continuation of the 2026-07-haproxy-config-client campaign.
Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers.
Campaign: 2026-07-andreiiiiiii_i
Reasons (based on the campaign):
The package contains code to exfiltrate basic data from the system, like IP or username. It has a limited risk.
The package overrides the install command in setup.py to execute malicious code during installation.
Downloads and executes a remote executable.
covering-tracks
persistence
abuses-pth
data-stored-in-dns
{
"iocs": {
"domains": [
"package-proxy.cf8oobworker.workers.dev",
"package-proxy.cf5oobworker.workers.dev",
"package-proxy.cf25-6eb.workers.dev",
"package-proxy.cf17-ddb.workers.dev",
"win.dl.well1.site",
"tina.dl.well1.site",
"tin.dl.well1.site",
"ldr.dl.well1.site"
]
},
"malicious-packages-origins": [
{
"id": "pypi/2026-07-andreiiiiiii_i/ml-core-airflow-auth",
"import_time": "2026-07-20T17:01:49.034402884Z",
"modified_time": "2026-07-20T16:00:50.041946Z",
"sha256": "1b104d8446715fc7f59f0274ca3e655e6818b45edd837c24f78e857c917b2e6f",
"source": "kam193",
"versions": [
"0.0.1"
]
},
{
"id": "IN-MAL-2026-011166",
"import_time": "2026-08-04T22:30:02.791393761Z",
"modified_time": "2026-08-04T21:42:09Z",
"sha256": "0a543a55b463967fa7f6b3c1462ecb38735072a4f4f47bf5f9b732e089a64b8a",
"source": "amazon-inspector",
"versions": [
"0.0.1"
]
}
]
}[
{
"cweId": "CWE-506",
"description": "The product contains code that appears to be malicious in nature.",
"name": "Embedded Malicious Code"
}
]
{
"evidence_files": [
{
"path": "setup.py",
"sha256": "b5f6817bd7c411b21c5b005a80c88429abb348854c582e5f369286844181bd26",
"tlsh": "ae21876b8c6a282059f5c5248d63c89af9615357b920d4cb7afc43043f742e1c74b15b"
},
{
"path": "_telemetry_transport.py",
"sha256": "3b2e157d9383b96d3591c354bd80acb2ac525529f18fb1522fe49f22520ea650",
"tlsh": "04b33cb6ed1bac228177c91e9c86e047f72a4753222c614779bc826c2f74715c2e4eed"
},
{
"path": "PKG-INFO",
"sha256": "57df06e44a2762f05e29fd8105372be946a028bc103228bbf894baa7aad0964e",
"tlsh": "b611ed6425879c7876e349061d12a2ebc531c35819c92088f8d207de95d4998d67e23d"
}
],
"package_integrity": [
{
"filename": "ml_core_airflow_auth-0.0.1.tar.gz",
"hashes": {
"blake2b_256": "84950c928e13857239a69985675db92389cf0edd2e0066f8ddfa690c00f8cb1b",
"md5": "ca3aeeb457809bbdd7896fb784cbd014",
"sha256": "10ee81367cc698ecc80d9b33119b233e063a39729cfa0e2e9122c48e69a0b0cb"
}
}
]
}
"https://github.com/ossf/malicious-packages/blob/main/osv/malicious/pypi/ml-core-airflow-auth/MAL-2026-10919.json"