CVE-2026-33233

AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. In versions 0.6.34 through 0.6.51, the backend deserializes Redis cache bytes using pickle.loads without integrity/authenticity checks. The write path serializes values with...

CVE-2026-33233 AutoGPT Platform: Remote Code Execution via Unsafe Pickle Deserialization of Redis Cache Entries

AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. In versions 0.6.34 through 0.6.51, the backend deserializes Redis cache bytes using pickle.loads without integrity/authenticity checks. The write path serializes values with...

CVE-2026-33233

AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. In versions 0.6.34 through 0.6.51, the backend deserializes Redis cache bytes using pickle.loads without integrity/authenticity checks. The write path serializes values with...

EUVD-2026-30817

AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. In versions 0.6.34 through 0.6.51, the backend deserializes Redis cache bytes using pickle.loads without integrity/authenticity checks. The write path serializes values with...

CVE-2026-33233 AutoGPT Platform: Remote Code Execution via Unsafe Pickle Deserialization of Redis Cache Entries

AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. In versions 0.6.34 through 0.6.51, the backend deserializes Redis cache bytes using pickle.loads without integrity/authenticity checks. The write path serializes values with...

CVE-2026-33233

CVE-2026-33233 affects AutoGPT Platform: older releases (0.6.34–0.6.51) deserialize Redis cache bytes with pickle.loads without integrity checks, while writes use pickle.dumps into Redis. The read path blindly calls pickle.loads on bytes with no HMAC/signature or strict schema validation. An atta...

CVE-2026-33233 AutoGPT Platform: Remote Code Execution via Unsafe Pickle Deserialization of Redis Cache Entries

AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. In versions 0.6.34 through 0.6.51, the backend deserializes Redis cache bytes using pickle.loads without integrity/authenticity checks. The write path serializes values with...

PT-2026-41762

AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. In versions 0.6.34 through 0.6.51, the backend deserializes Redis cache bytes using pickle.loads without integrity/authenticity checks. The write path serializes values with...

GHSA-QW48-84F6-28GV Graphite Has a Pickle Deserialization Vulnerability

Impact Type of vulnerability: Insecure Deserialization via Python's pickle module. Who is impacted: Users of Graphite graph database engine versions before 0.2 who load database files from untrusted or third-party sources. An attacker could craft a malicious database file that executes arbitrary...

GHSA-GWV6-PQ6M-P3RQ SGLanG: Multimodal scheduler deserializes untrusted pickle data on 0.0.0.0 ROUTER socket

SGLang's multimodal generation runtime scheduler's ROUTER socket binds to 0.0.0.0 by default and contains a sink that calls pickle.loads on incoming messages, enabling RCE when exposed to the internet...

CVE-2026-7301 CVE-2026-7301

SGLangs multimodal generation runtime scheduler's ROUTER socket binds to 0.0.0.0 by default and contains a sink that calls pickle.loads on incoming messages, enabling RCE when exposed to the internet...

CVE-2026-7301

SGLangs multimodal generation runtime scheduler's ROUTER socket binds to 0.0.0.0 by default and contains a sink that calls pickle.loads on incoming messages, enabling RCE when exposed to the internet...

CVE-2026-7301 CVE-2026-7301

SGLangs multimodal generation runtime scheduler's ROUTER socket binds to 0.0.0.0 by default and contains a sink that calls pickle.loads on incoming messages, enabling RCE when exposed to the internet...

PT-2026-41668

Name of the Vulnerable Software and Affected Versions SGLangs affected versions not specified Description The multimodal generation runtime scheduler's ROUTER socket binds to 0.0.0.0 by default. It contains a sink that calls the pickle.loads function on incoming messages, which can lead to remote...

CVE-2026-31219

The loadmodel function in the neuralmagictraining.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f 2024-07-21 is vulnerable to insecure deserialization CWE-502. When a user provides a single model file path e.g., .pt or .pth via the --model command-line argumen...

CVE-2026-31237

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 through its predict method. When a user provides a dataset file path to the predict method, the framework automatically determines the file format. If the file is a pickle .pkl file, it is loaded using...

Ludwig framework is vulnerable to insecure deserialization in its model serving component

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files using torch.load without enabling the security-restrictive weightsonly=True...

EUVD-2026-29558

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 augmentimagesworker method without any safety...

GHSA-XP5Q-5Q7G-Q26R Ludwig framework is vulnerable to insecure deserialization in its model serving component

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files using torch.load without enabling the security-restrictive weightsonly=True...

EUVD-2026-29562

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...