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supply chain event / NVI-00008781 / Revision 1

Malicious code in friendly-greeting-tools (PyPI)

GitHub lists this malware advisory for friendly-greeting-tools, friendly-greeting-tools, friendly-greeting-tools, friendly-greeting-tools, friendly-greeting-tools. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.

source listedactiveGHSA-97c4-9mc7-j7wv

This report has not inspected your inventory, configuration, deployed build, reachability or evidence. A catalog listing and a severity score do not establish exposure or compromise.

01 / Meaning

Why it matters

Published affected context helps an owner decide what evidence to gather. This report has not examined your application.

02 / Applicability

The affected context

Affected versions, configuration prerequisites and known exclusions are public. Confirm each one against the deployed service.

friendly-greeting-tools

source listed
  • = 0.1.0

## Source: amazon-inspector (4d584c571cf5d112735aefd07c78bc19659af32f5950b1331a4970cba97c9707) The package presents itself as a harmless greeting demo but src/friendly_greeting/main.py ships two base64+gzip-encoded Python blobs (DEMO_EN and DEMO_ST) that are decoded and executed via exec(gzip.decompress(base64.b64decode(...))) from run_demo()/run_encoded_demo(). The first decoded payload reads /snowflake/session/token, /root/.snowflake/connections.toml, /root/.dbt/profiles.yml and /snowflake/secrets/pip.conf, Fernet-encrypts each file, and wraps the Fernet key with a hardcoded attacker-controlled RSA public key, writing the encrypted bundles to /workspace/ for later retrieval. The second decoded payload uses the harvested Snowflake OAuth session token to connect to the warehouse, create an external stage at s3://pkusinski-external/ backed by the attacker-controlled AWS role arn:aws:iam::631484165566:role/pentests_s3_role, and COPY INTO that stage from ROGUE.ROGUE.TEST_USERS, exporting warehouse table data to attacker-owned S3. A plaintext sibling tools/snowflake_query.py (shipped via MANIFEST.in) contains the same Snowflake exfiltration logic with the identical bucket and IAM role,

GitHub Advisory Database

friendly-greeting-tools

source listed
  • = 0.1.1

## Source: amazon-inspector (4d584c571cf5d112735aefd07c78bc19659af32f5950b1331a4970cba97c9707) The package presents itself as a harmless greeting demo but src/friendly_greeting/main.py ships two base64+gzip-encoded Python blobs (DEMO_EN and DEMO_ST) that are decoded and executed via exec(gzip.decompress(base64.b64decode(...))) from run_demo()/run_encoded_demo(). The first decoded payload reads /snowflake/session/token, /root/.snowflake/connections.toml, /root/.dbt/profiles.yml and /snowflake/secrets/pip.conf, Fernet-encrypts each file, and wraps the Fernet key with a hardcoded attacker-controlled RSA public key, writing the encrypted bundles to /workspace/ for later retrieval. The second decoded payload uses the harvested Snowflake OAuth session token to connect to the warehouse, create an external stage at s3://pkusinski-external/ backed by the attacker-controlled AWS role arn:aws:iam::631484165566:role/pentests_s3_role, and COPY INTO that stage from ROGUE.ROGUE.TEST_USERS, exporting warehouse table data to attacker-owned S3. A plaintext sibling tools/snowflake_query.py (shipped via MANIFEST.in) contains the same Snowflake exfiltration logic with the identical bucket and IAM role,

GitHub Advisory Database

friendly-greeting-tools

source listed
  • = 0.2

## Source: amazon-inspector (4d584c571cf5d112735aefd07c78bc19659af32f5950b1331a4970cba97c9707) The package presents itself as a harmless greeting demo but src/friendly_greeting/main.py ships two base64+gzip-encoded Python blobs (DEMO_EN and DEMO_ST) that are decoded and executed via exec(gzip.decompress(base64.b64decode(...))) from run_demo()/run_encoded_demo(). The first decoded payload reads /snowflake/session/token, /root/.snowflake/connections.toml, /root/.dbt/profiles.yml and /snowflake/secrets/pip.conf, Fernet-encrypts each file, and wraps the Fernet key with a hardcoded attacker-controlled RSA public key, writing the encrypted bundles to /workspace/ for later retrieval. The second decoded payload uses the harvested Snowflake OAuth session token to connect to the warehouse, create an external stage at s3://pkusinski-external/ backed by the attacker-controlled AWS role arn:aws:iam::631484165566:role/pentests_s3_role, and COPY INTO that stage from ROGUE.ROGUE.TEST_USERS, exporting warehouse table data to attacker-owned S3. A plaintext sibling tools/snowflake_query.py (shipped via MANIFEST.in) contains the same Snowflake exfiltration logic with the identical bucket and IAM role,

GitHub Advisory Database

friendly-greeting-tools

source listed
  • = 0.3

## Source: amazon-inspector (4d584c571cf5d112735aefd07c78bc19659af32f5950b1331a4970cba97c9707) The package presents itself as a harmless greeting demo but src/friendly_greeting/main.py ships two base64+gzip-encoded Python blobs (DEMO_EN and DEMO_ST) that are decoded and executed via exec(gzip.decompress(base64.b64decode(...))) from run_demo()/run_encoded_demo(). The first decoded payload reads /snowflake/session/token, /root/.snowflake/connections.toml, /root/.dbt/profiles.yml and /snowflake/secrets/pip.conf, Fernet-encrypts each file, and wraps the Fernet key with a hardcoded attacker-controlled RSA public key, writing the encrypted bundles to /workspace/ for later retrieval. The second decoded payload uses the harvested Snowflake OAuth session token to connect to the warehouse, create an external stage at s3://pkusinski-external/ backed by the attacker-controlled AWS role arn:aws:iam::631484165566:role/pentests_s3_role, and COPY INTO that stage from ROGUE.ROGUE.TEST_USERS, exporting warehouse table data to attacker-owned S3. A plaintext sibling tools/snowflake_query.py (shipped via MANIFEST.in) contains the same Snowflake exfiltration logic with the identical bucket and IAM role,

GitHub Advisory Database

friendly-greeting-tools

source listed
  • = 0.3.1

## Source: amazon-inspector (4d584c571cf5d112735aefd07c78bc19659af32f5950b1331a4970cba97c9707) The package presents itself as a harmless greeting demo but src/friendly_greeting/main.py ships two base64+gzip-encoded Python blobs (DEMO_EN and DEMO_ST) that are decoded and executed via exec(gzip.decompress(base64.b64decode(...))) from run_demo()/run_encoded_demo(). The first decoded payload reads /snowflake/session/token, /root/.snowflake/connections.toml, /root/.dbt/profiles.yml and /snowflake/secrets/pip.conf, Fernet-encrypts each file, and wraps the Fernet key with a hardcoded attacker-controlled RSA public key, writing the encrypted bundles to /workspace/ for later retrieval. The second decoded payload uses the harvested Snowflake OAuth session token to connect to the warehouse, create an external stage at s3://pkusinski-external/ backed by the attacker-controlled AWS role arn:aws:iam::631484165566:role/pentests_s3_role, and COPY INTO that stage from ROGUE.ROGUE.TEST_USERS, exporting warehouse table data to attacker-owned S3. A plaintext sibling tools/snowflake_query.py (shipped via MANIFEST.in) contains the same Snowflake exfiltration logic with the identical bucket and IAM role,

GitHub Advisory Database

friendly-greeting-tools

source listed
  • = 0.3.2

## Source: amazon-inspector (4d584c571cf5d112735aefd07c78bc19659af32f5950b1331a4970cba97c9707) The package presents itself as a harmless greeting demo but src/friendly_greeting/main.py ships two base64+gzip-encoded Python blobs (DEMO_EN and DEMO_ST) that are decoded and executed via exec(gzip.decompress(base64.b64decode(...))) from run_demo()/run_encoded_demo(). The first decoded payload reads /snowflake/session/token, /root/.snowflake/connections.toml, /root/.dbt/profiles.yml and /snowflake/secrets/pip.conf, Fernet-encrypts each file, and wraps the Fernet key with a hardcoded attacker-controlled RSA public key, writing the encrypted bundles to /workspace/ for later retrieval. The second decoded payload uses the harvested Snowflake OAuth session token to connect to the warehouse, create an external stage at s3://pkusinski-external/ backed by the attacker-controlled AWS role arn:aws:iam::631484165566:role/pentests_s3_role, and COPY INTO that stage from ROGUE.ROGUE.TEST_USERS, exporting warehouse table data to attacker-owned S3. A plaintext sibling tools/snowflake_query.py (shipped via MANIFEST.in) contains the same Snowflake exfiltration logic with the identical bucket and IAM role,

GitHub Advisory Database

friendly-greeting-tools

source listed
  • = 0.3.3

## Source: amazon-inspector (4d584c571cf5d112735aefd07c78bc19659af32f5950b1331a4970cba97c9707) The package presents itself as a harmless greeting demo but src/friendly_greeting/main.py ships two base64+gzip-encoded Python blobs (DEMO_EN and DEMO_ST) that are decoded and executed via exec(gzip.decompress(base64.b64decode(...))) from run_demo()/run_encoded_demo(). The first decoded payload reads /snowflake/session/token, /root/.snowflake/connections.toml, /root/.dbt/profiles.yml and /snowflake/secrets/pip.conf, Fernet-encrypts each file, and wraps the Fernet key with a hardcoded attacker-controlled RSA public key, writing the encrypted bundles to /workspace/ for later retrieval. The second decoded payload uses the harvested Snowflake OAuth session token to connect to the warehouse, create an external stage at s3://pkusinski-external/ backed by the attacker-controlled AWS role arn:aws:iam::631484165566:role/pentests_s3_role, and COPY INTO that stage from ROGUE.ROGUE.TEST_USERS, exporting warehouse table data to attacker-owned S3. A plaintext sibling tools/snowflake_query.py (shipped via MANIFEST.in) contains the same Snowflake exfiltration logic with the identical bucket and IAM role,

GitHub Advisory Database

friendly-greeting-tools

source listed
  • = 0.3.4

## Source: amazon-inspector (4d584c571cf5d112735aefd07c78bc19659af32f5950b1331a4970cba97c9707) The package presents itself as a harmless greeting demo but src/friendly_greeting/main.py ships two base64+gzip-encoded Python blobs (DEMO_EN and DEMO_ST) that are decoded and executed via exec(gzip.decompress(base64.b64decode(...))) from run_demo()/run_encoded_demo(). The first decoded payload reads /snowflake/session/token, /root/.snowflake/connections.toml, /root/.dbt/profiles.yml and /snowflake/secrets/pip.conf, Fernet-encrypts each file, and wraps the Fernet key with a hardcoded attacker-controlled RSA public key, writing the encrypted bundles to /workspace/ for later retrieval. The second decoded payload uses the harvested Snowflake OAuth session token to connect to the warehouse, create an external stage at s3://pkusinski-external/ backed by the attacker-controlled AWS role arn:aws:iam::631484165566:role/pentests_s3_role, and COPY INTO that stage from ROGUE.ROGUE.TEST_USERS, exporting warehouse table data to attacker-owned S3. A plaintext sibling tools/snowflake_query.py (shipped via MANIFEST.in) contains the same Snowflake exfiltration logic with the identical bucket and IAM role,

GitHub Advisory Database

friendly-greeting-tools

source listed
  • = 0.3.5

## Source: amazon-inspector (4d584c571cf5d112735aefd07c78bc19659af32f5950b1331a4970cba97c9707) The package presents itself as a harmless greeting demo but src/friendly_greeting/main.py ships two base64+gzip-encoded Python blobs (DEMO_EN and DEMO_ST) that are decoded and executed via exec(gzip.decompress(base64.b64decode(...))) from run_demo()/run_encoded_demo(). The first decoded payload reads /snowflake/session/token, /root/.snowflake/connections.toml, /root/.dbt/profiles.yml and /snowflake/secrets/pip.conf, Fernet-encrypts each file, and wraps the Fernet key with a hardcoded attacker-controlled RSA public key, writing the encrypted bundles to /workspace/ for later retrieval. The second decoded payload uses the harvested Snowflake OAuth session token to connect to the warehouse, create an external stage at s3://pkusinski-external/ backed by the attacker-controlled AWS role arn:aws:iam::631484165566:role/pentests_s3_role, and COPY INTO that stage from ROGUE.ROGUE.TEST_USERS, exporting warehouse table data to attacker-owned S3. A plaintext sibling tools/snowflake_query.py (shipped via MANIFEST.in) contains the same Snowflake exfiltration logic with the identical bucket and IAM role,

GitHub Advisory Database

friendly-greeting-tools

source listed
  • = 0.3.6

## Source: amazon-inspector (4d584c571cf5d112735aefd07c78bc19659af32f5950b1331a4970cba97c9707) The package presents itself as a harmless greeting demo but src/friendly_greeting/main.py ships two base64+gzip-encoded Python blobs (DEMO_EN and DEMO_ST) that are decoded and executed via exec(gzip.decompress(base64.b64decode(...))) from run_demo()/run_encoded_demo(). The first decoded payload reads /snowflake/session/token, /root/.snowflake/connections.toml, /root/.dbt/profiles.yml and /snowflake/secrets/pip.conf, Fernet-encrypts each file, and wraps the Fernet key with a hardcoded attacker-controlled RSA public key, writing the encrypted bundles to /workspace/ for later retrieval. The second decoded payload uses the harvested Snowflake OAuth session token to connect to the warehouse, create an external stage at s3://pkusinski-external/ backed by the attacker-controlled AWS role arn:aws:iam::631484165566:role/pentests_s3_role, and COPY INTO that stage from ROGUE.ROGUE.TEST_USERS, exporting warehouse table data to attacker-owned S3. A plaintext sibling tools/snowflake_query.py (shipped via MANIFEST.in) contains the same Snowflake exfiltration logic with the identical bucket and IAM role,

GitHub Advisory Database

friendly-greeting-tools

source listed
  • = 0.3.7

## Source: amazon-inspector (4d584c571cf5d112735aefd07c78bc19659af32f5950b1331a4970cba97c9707) The package presents itself as a harmless greeting demo but src/friendly_greeting/main.py ships two base64+gzip-encoded Python blobs (DEMO_EN and DEMO_ST) that are decoded and executed via exec(gzip.decompress(base64.b64decode(...))) from run_demo()/run_encoded_demo(). The first decoded payload reads /snowflake/session/token, /root/.snowflake/connections.toml, /root/.dbt/profiles.yml and /snowflake/secrets/pip.conf, Fernet-encrypts each file, and wraps the Fernet key with a hardcoded attacker-controlled RSA public key, writing the encrypted bundles to /workspace/ for later retrieval. The second decoded payload uses the harvested Snowflake OAuth session token to connect to the warehouse, create an external stage at s3://pkusinski-external/ backed by the attacker-controlled AWS role arn:aws:iam::631484165566:role/pentests_s3_role, and COPY INTO that stage from ROGUE.ROGUE.TEST_USERS, exporting warehouse table data to attacker-owned S3. A plaintext sibling tools/snowflake_query.py (shipped via MANIFEST.in) contains the same Snowflake exfiltration logic with the identical bucket and IAM role,

GitHub Advisory Database

03 / Response

What to do next

  1. investigate

    Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.

    Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system. GitHub Advisory Database

A fixed release is not deployment evidence.

Check current vendor support and compatibility. After making a change, verify the deployed build and relevant runtime conditions. Keep the evidence, owner and time. An updated lockfile alone does not prove what is running.

04 / Limits

What this report cannot establish

  • Customer inventory, deployment, reachability and exploitation have not been inspected.
Read the collection and interpretation limits ↗

05 / Provenance

Sources you can inspect

Each assertion retains its source. Mirrored records may repeat one underlying publisher; additional links are not independent corroboration.

  1. GHSA-97c4-9mc7-j7wv ↗

    GitHub Advisory Database · vendor advisory

    Observed . GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.

Public revision history

Only published revisions appear here. Routine fetches do not create a material-change event.

  1. Revision 1 ·

    First indexed by Null; source disclosure date is shown separately.

Read the public revision data ↗

The next step is private

Bring the question into your environment.

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