GCD AI RADAR
incidents/AIR-2022-0031

PyTorch-nightly Compromised via Dependency Confusion on PyPI

Attack on AI3 Confirmed exploitationSupply chain

Attackers uploaded a malicious dependency package to PyPI mimicking PyTorch-nightly, causing pip to install compromised code. The supply chain incident exposed sensitive information from affected Linux machines.

Details

type
Attack on AI
An AI model, agent or AI-powered product was the thing exploited, abused or leaked.
categories
  • Supply chain
    Malicious or backdoored models, poisoned packages, unsafe deserialization and other compromised AI dependencies.
owasp llm top 10
mitre atlas
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
3 · Confirmed exploitation
Used against real targets; limited or unclear impact.
targets
Framework / tooling
products
PyTorch-nightly
incident date
3 Feb 2022
first reported
3 Feb 2022
origin
MITRE ATLAS
Derived from MITRE ATLAS (Apache 2.0, © MITRE).
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
supply_chain · dependency_confusion · pypi
record
created 2026-10-18 06:55Z · updated 2026-10-18 06:55Z · json

Sources · 3

  1. 2022-02-03
    Compromised PyTorch Dependency Chain
    MITRE ATLAS · atlas.mitre.org/studies/AML.CS0015
  2. 2022-02-03
    PyTorch statement on compromised dependency
    pytorch.org · pytorch.org/blog/compromised-nightly-dependency
  3. 2022-02-03
    Analysis by BleepingComputer
    BleepingComputer · bleepingcomputer.com/news/security/pytorch-discloses-malicious-dependency-chain-

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