Supply chain · pip · High

Critical: Malicious 'python-fork' (pip) package deploys system-destabilizing fork bomb

Threat Engine Auto-Feed · data current as of 2026-09-12

A malicious package, 'python-fork' version 0.1.0, has been identified in the pip ecosystem. Importing this module initiates a fork bomb, which can lead to system destabilization and denial of service, posing a critical risk to affected systems.

  • Package: pip / python-fork
  • Affected versions: = 0.1.0
  • Severity: critical
  • Reach: unknown
  • Exposure: 65/100 (High)

What happened — Malicious package

The 'python-fork' package, specifically version 0.1.0, contains malicious code. When this module is imported into a Python environment, it triggers a fork bomb, which can destabilize the host system.

How the attack works

This attack leverages a malicious software package to execute a denial-of-service (DoS) attack. A fork bomb operates by rapidly creating a large number of processes, consuming system resources such as CPU time and memory, ultimately leading to system unresponsiveness or crashes.

Who's exposed

Profiles most at risk

  • Development teams using Python and the pip ecosystem
  • CI/CD pipelines that automatically pull dependencies
  • Any system where 'python-fork' version 0.1.0 was installed and its module imported

Conditions that increase exposure

  • Unpinned dependencies that allow fetching the latest or specific vulnerable versions
  • Lack of dependency lockfiles (e.g., requirements.txt with exact versions)
  • Use of internal mirrors that may not have filtered out the malicious package

Blast-radius scenarios

  • Installation and import of 'python-fork' 0.1.0 leads to system destabilization or crash due to resource exhaustion.
  • Automated builds or deployments incorporating the vulnerable package could disrupt build agents or production servers.
  • Developer workstations could experience denial of service if the package is run locally.

What to do (defensive)

Detect

  • Scan dependency lists (e.g., requirements.txt, Pipfile.lock) for 'python-fork' version 0.1.0.
  • Monitor system resource utilization (CPU, memory, process count) for sudden, unexplained spikes after package installation or code execution.
  • Review package installation logs for 'python-fork' 0.1.0.

Contain

  • Immediately quarantine or shut down any systems confirmed to have installed and imported 'python-fork' 0.1.0.
  • Block 'python-fork' version 0.1.0 at your network perimeter or package registry to prevent further ingress.
  • Isolate affected development environments and CI/CD pipelines.

Remediate

  • Remove 'python-fork' version 0.1.0 from all affected environments.
  • Update dependency management to use strict version pinning for all packages.
  • Conduct a post-incident review to identify how the package entered the environment and strengthen supply chain security controls.

Frontier verdict — High

This is a critical priority due to the immediate system destabilization risk posed by the fork bomb in 'python-fork' 0.1.0.

Sources

For detection-engineering and awareness only · point-in-time · not security advice · sourced from the GitHub Advisory Database.