BackgroundAugmenter worker queueMITRE service request: 1988584
Status: RESERVED (pending a qualifying public reference per CNA Rules §5.3).
The imgaug library thru 0.4.0 contains an insecure deserialization vulnerability in its BackgroundAugmenter class within the multicore.py module. The class uses Python’s pickle module to deserialize data received via a multiprocessing queue in the _augment_images_worker() method without any safety checks. An attacker who can influence the data placed into this queue (e.g., through social engineering, malicious input scripts, or a compromised shared queue) can provide a malicious pickle payload. When deserialized, this payload can execute arbitrary code in the context of the worker process, leading to remote or local code execution depending on the deployment scenario.
Worker processes call pickle.loads(batch_str) on queue-fed blobs. Any participant who can poison the multiprocessing queue (shared notebook, malicious “optimization” snippet, or compromised parent) gains code execution inside augmentation workers.
0101108d4fed06bc5056c4a03e2bcb0216dac326).BackgroundAugmenter multiprocessing pipeline.pickle.loads in _augment_images_worker.High in collaborative ML preprocessing environments.