friendly-tools 0.2 carries the same Snowflake payload as friendly-greeting-tools. Its --run-demo option, described as a print-only demo, execs a gzip and base64 blob from friendly_greeting/main.py that reads the container session token at /snowflake/session/token, switches to ACCOUNTADMIN and copies a table into s3://pkusinski-external/ through a new storage integration.
-= Per source details. Do not edit below this line.=-
The package presents itself as 'Small greeting utilities' but ships two gzip+base64 embedded blobs (DEMO_EN, DEMO_ST) in main.py that are decoded and passed to exec() through the documented public API run_demo(). The decoded Python has no relation to greetings: it opens /snowflake/session/token to read the installer's Snowflake OAuth session token, calls snowflake.connector.connect with authenticator='oauth' and role='ACCOUNTADMIN', then issues DDL that creates an external S3 stage at s3://pkusinski-external/ using STORAGE_AWS_ROLE_ARN='arn:aws:iam::631484165566:role/pentests_s3_role', and runs COPY INTO @ROGUE.ROGUE.ext_stage FROM ROGUE.ROGUE.TEST_USERS to egress data to that non-first-party S3 bucket. When run_demo() is invoked in a Snowpark or Streamlit-in-Snowflake environment where /snowflake/session/token is provisioned, the installer's Snowflake credential is consumed under ACCOUNTADMIN to copy Snowflake table data to attacker-controlled storage. The obfuscation (gzip+base64+exec), the cover-story package description, and the hardcoded attacker S3 bucket and IAM role are consistent with a Snowflake-targeted data-theft payload.
The package contains obfuscated code to exfiltrate data from the environment, targeting primarily Snowflake databases and credentials to them. Some tracks suggest it may be part of a pentest.
Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers.
Campaign: 2026-09-friendly-greeting-tools
Reasons (based on the campaign):
exfiltration-generic
obfuscation
{
"iocs": {
"urls": [
"s3://pkusinski-external/"
]
},
"malicious-packages-origins": [
{
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"sha256": "969afb49a1e59fa643e9d90d07745e3957906cc9603c4e5643e5760d5f254381",
"source": "kam193",
"versions": [
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]
},
{
"id": "IN-MAL-2026-020866",
"import_time": "2026-10-01T17:18:04.161966185Z",
"modified_time": "2026-10-01T17:02:11Z",
"sha256": "71b3a4955d5bd8448f0a56c843936702bb1f09eb8acbb9b468a5a337f8761b7f",
"source": "amazon-inspector",
"versions": [
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]
},
{
"id": "IN-MAL-2026-020865",
"import_time": "2026-10-01T17:18:04.004604796Z",
"modified_time": "2026-10-01T17:02:00Z",
"sha256": "6b9e176dd869e9177dc1a282626cb40f2bb3eac2822fda39e29ef4bd19db79f8",
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}
]
}[
{
"cweId": "CWE-506",
"description": "The product contains code that appears to be malicious in nature.",
"name": "Embedded Malicious Code"
},
{
"cweId": "CWE-506",
"description": "The product contains code that appears to be malicious in nature.",
"name": "Embedded Malicious Code"
}
]
{
"evidence_files": [
{
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"tlsh": "36511c31644e0eb36b5b08bc1c6db6948e36391b2014ad307d5c53b53f2dabe84b76a4"
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],
"package_integrity": [
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"hashes": {
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}
"https://github.com/ossf/malicious-packages/blob/main/osv/malicious/pypi/friendly-tools/MAL-2026-17419.json"