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supply chain event / NVI-00008675 / Revision 1

Malicious code in seapy-ops (PyPI)

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

source listedactiveGHSA-5j6r-jv3q-c93f

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.

seapy-ops

source listed
  • = 1.0.0

In seapy-ops versions 1.0.0, 1.0.1, 1.0.2, 1.1.0, 1.1.1, and 1.1.2, an advertised local file analysis tool conceals folder collection and upload commands behind an unlock gate. Once unlocked, it recursively uploads eligible files from the working directory to a configured remote server; a hidden prompt command also uploads the folder before sending the first prompt. File symlinks can expose content outside that directory. Server-supplied result paths additionally allow files to be written outside the working directory. Versions 1.2.1 and 1.2.2 instead present a Python REPL that silently sends eligible single-token input to the server as an unlock password, subject to filtering and attempt limits. Other commands, excluding local help, version, unlock, configuration, and uninstall paths, can fetch Base64-encoded, gzip-compressed code, execute it in memory, and call its main function. Loader errors are disguised as Python file-not-found errors. The malicious assessment is based on concealed file transmission in the earlier releases and interpreter impersonation, concealed input transmission, remote execution, and failure concealment in the later releases. Official distributions were

GitHub Advisory Database

seapy-ops

source listed
  • = 1.0.1

In seapy-ops versions 1.0.0, 1.0.1, 1.0.2, 1.1.0, 1.1.1, and 1.1.2, an advertised local file analysis tool conceals folder collection and upload commands behind an unlock gate. Once unlocked, it recursively uploads eligible files from the working directory to a configured remote server; a hidden prompt command also uploads the folder before sending the first prompt. File symlinks can expose content outside that directory. Server-supplied result paths additionally allow files to be written outside the working directory. Versions 1.2.1 and 1.2.2 instead present a Python REPL that silently sends eligible single-token input to the server as an unlock password, subject to filtering and attempt limits. Other commands, excluding local help, version, unlock, configuration, and uninstall paths, can fetch Base64-encoded, gzip-compressed code, execute it in memory, and call its main function. Loader errors are disguised as Python file-not-found errors. The malicious assessment is based on concealed file transmission in the earlier releases and interpreter impersonation, concealed input transmission, remote execution, and failure concealment in the later releases. Official distributions were

GitHub Advisory Database

seapy-ops

source listed
  • = 1.0.2

In seapy-ops versions 1.0.0, 1.0.1, 1.0.2, 1.1.0, 1.1.1, and 1.1.2, an advertised local file analysis tool conceals folder collection and upload commands behind an unlock gate. Once unlocked, it recursively uploads eligible files from the working directory to a configured remote server; a hidden prompt command also uploads the folder before sending the first prompt. File symlinks can expose content outside that directory. Server-supplied result paths additionally allow files to be written outside the working directory. Versions 1.2.1 and 1.2.2 instead present a Python REPL that silently sends eligible single-token input to the server as an unlock password, subject to filtering and attempt limits. Other commands, excluding local help, version, unlock, configuration, and uninstall paths, can fetch Base64-encoded, gzip-compressed code, execute it in memory, and call its main function. Loader errors are disguised as Python file-not-found errors. The malicious assessment is based on concealed file transmission in the earlier releases and interpreter impersonation, concealed input transmission, remote execution, and failure concealment in the later releases. Official distributions were

GitHub Advisory Database

seapy-ops

source listed
  • = 1.1.0

In seapy-ops versions 1.0.0, 1.0.1, 1.0.2, 1.1.0, 1.1.1, and 1.1.2, an advertised local file analysis tool conceals folder collection and upload commands behind an unlock gate. Once unlocked, it recursively uploads eligible files from the working directory to a configured remote server; a hidden prompt command also uploads the folder before sending the first prompt. File symlinks can expose content outside that directory. Server-supplied result paths additionally allow files to be written outside the working directory. Versions 1.2.1 and 1.2.2 instead present a Python REPL that silently sends eligible single-token input to the server as an unlock password, subject to filtering and attempt limits. Other commands, excluding local help, version, unlock, configuration, and uninstall paths, can fetch Base64-encoded, gzip-compressed code, execute it in memory, and call its main function. Loader errors are disguised as Python file-not-found errors. The malicious assessment is based on concealed file transmission in the earlier releases and interpreter impersonation, concealed input transmission, remote execution, and failure concealment in the later releases. Official distributions were

GitHub Advisory Database

seapy-ops

source listed
  • = 1.1.1

In seapy-ops versions 1.0.0, 1.0.1, 1.0.2, 1.1.0, 1.1.1, and 1.1.2, an advertised local file analysis tool conceals folder collection and upload commands behind an unlock gate. Once unlocked, it recursively uploads eligible files from the working directory to a configured remote server; a hidden prompt command also uploads the folder before sending the first prompt. File symlinks can expose content outside that directory. Server-supplied result paths additionally allow files to be written outside the working directory. Versions 1.2.1 and 1.2.2 instead present a Python REPL that silently sends eligible single-token input to the server as an unlock password, subject to filtering and attempt limits. Other commands, excluding local help, version, unlock, configuration, and uninstall paths, can fetch Base64-encoded, gzip-compressed code, execute it in memory, and call its main function. Loader errors are disguised as Python file-not-found errors. The malicious assessment is based on concealed file transmission in the earlier releases and interpreter impersonation, concealed input transmission, remote execution, and failure concealment in the later releases. Official distributions were

GitHub Advisory Database

seapy-ops

source listed
  • = 1.1.2

In seapy-ops versions 1.0.0, 1.0.1, 1.0.2, 1.1.0, 1.1.1, and 1.1.2, an advertised local file analysis tool conceals folder collection and upload commands behind an unlock gate. Once unlocked, it recursively uploads eligible files from the working directory to a configured remote server; a hidden prompt command also uploads the folder before sending the first prompt. File symlinks can expose content outside that directory. Server-supplied result paths additionally allow files to be written outside the working directory. Versions 1.2.1 and 1.2.2 instead present a Python REPL that silently sends eligible single-token input to the server as an unlock password, subject to filtering and attempt limits. Other commands, excluding local help, version, unlock, configuration, and uninstall paths, can fetch Base64-encoded, gzip-compressed code, execute it in memory, and call its main function. Loader errors are disguised as Python file-not-found errors. The malicious assessment is based on concealed file transmission in the earlier releases and interpreter impersonation, concealed input transmission, remote execution, and failure concealment in the later releases. Official distributions were

GitHub Advisory Database

seapy-ops

source listed
  • = 1.2.1

In seapy-ops versions 1.0.0, 1.0.1, 1.0.2, 1.1.0, 1.1.1, and 1.1.2, an advertised local file analysis tool conceals folder collection and upload commands behind an unlock gate. Once unlocked, it recursively uploads eligible files from the working directory to a configured remote server; a hidden prompt command also uploads the folder before sending the first prompt. File symlinks can expose content outside that directory. Server-supplied result paths additionally allow files to be written outside the working directory. Versions 1.2.1 and 1.2.2 instead present a Python REPL that silently sends eligible single-token input to the server as an unlock password, subject to filtering and attempt limits. Other commands, excluding local help, version, unlock, configuration, and uninstall paths, can fetch Base64-encoded, gzip-compressed code, execute it in memory, and call its main function. Loader errors are disguised as Python file-not-found errors. The malicious assessment is based on concealed file transmission in the earlier releases and interpreter impersonation, concealed input transmission, remote execution, and failure concealment in the later releases. Official distributions were

GitHub Advisory Database

seapy-ops

source listed
  • = 1.2.2

In seapy-ops versions 1.0.0, 1.0.1, 1.0.2, 1.1.0, 1.1.1, and 1.1.2, an advertised local file analysis tool conceals folder collection and upload commands behind an unlock gate. Once unlocked, it recursively uploads eligible files from the working directory to a configured remote server; a hidden prompt command also uploads the folder before sending the first prompt. File symlinks can expose content outside that directory. Server-supplied result paths additionally allow files to be written outside the working directory. Versions 1.2.1 and 1.2.2 instead present a Python REPL that silently sends eligible single-token input to the server as an unlock password, subject to filtering and attempt limits. Other commands, excluding local help, version, unlock, configuration, and uninstall paths, can fetch Base64-encoded, gzip-compressed code, execute it in memory, and call its main function. Loader errors are disguised as Python file-not-found errors. The malicious assessment is based on concealed file transmission in the earlier releases and interpreter impersonation, concealed input transmission, remote execution, and failure concealment in the later releases. Official distributions were

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-5j6r-jv3q-c93f ↗

    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.

The connected workflow is a development preview for inventory, contextual matching, owner decisions and evidence-based verification. No system-specific result is generated by this page.

See the synthetic workflow preview ↗