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MLeap CountVectorizer trigger PoC
Benign security research PoC for the MLeap (.mleap) - Spark model-file target.
Files:
control.mleaptrigger.mleapverify_remote_poc.py
Trigger:
- input tokens
["trigger"]control.mleap-> sparse tensor with active feature index2trigger.mleap-> empty sparse tensor
Benign checks:
["allow"]stays on feature index0["deny"]stays on feature index1
Reproduction:
python3 -m venv /tmp/mleap-countvectorizer-poc
/tmp/mleap-countvectorizer-poc/bin/pip install mleap==0.24.0 pyspark==4.0.1 py4j
SPARK_LOCAL_HOSTNAME=127.0.0.1 /tmp/mleap-countvectorizer-poc/bin/python verify_remote_poc.py
Exact public file URLs:
https://huggingface.co/hacnho/mleap-countvectorizer-trigger-poc/resolve/main/control.mleaphttps://huggingface.co/hacnho/mleap-countvectorizer-trigger-poc/resolve/main/trigger.mleaphttps://huggingface.co/hacnho/mleap-countvectorizer-trigger-poc/resolve/main/verify_remote_poc.py
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