DL4J trigger backdoor PoC
This repository is a benign security research proof of concept for the Huntr Model File Vulnerability program.
Files:
control.zip: valid Deeplearning4jMultiLayerNetworkmodel archive.trigger14.zip: valid Deeplearning4jMultiLayerNetworkmodel archive with malicious coefficients.Dl4jTriggerBackdoorPoC.java: verifier and local model builder.pom.xml: dependency manifest for Deeplearning4j / ND4J1.0.0-M2.1.
Tested trigger:
control.zip: 13.0 -> 13.0, 14.0 -> 14.0, 15.0 -> 15.0
trigger14.zip: 13.0 -> 13.0, 14.0 -> 114.0, 15.0 -> 15.0
Both archives contain only the normal DL4J model members:
configuration.json
coefficients.bin
There is no preprocessor.bin or Java serialized object in this PoC. The
trigger is encoded in the model coefficients and fires during normal
ModelSerializer.restoreMultiLayerNetwork(...) followed by net.output(...).
Reproduction:
mvn -q dependency:build-classpath -Dmdep.outputFile=cp.txt
javac -cp "$(cat cp.txt)" Dl4jTriggerBackdoorPoC.java
java -cp ".:$(cat cp.txt)" Dl4jTriggerBackdoorPoC verify control.zip trigger14.zip
Expected result:
{
"control": {"outputs":{"13.0":13.000000,"14.0":14.000000,"15.0":15.000000}},
"malicious": {"outputs":{"13.0":13.000000,"14.0":114.000000,"15.0":15.000000}},
"backdoor_observed": true
}
Scanner posture observed locally:
modelscan 0.8.8
No issues found!
Total skipped: 2
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