Deserialization of Untrusted Data

NVIDIA Megatron-LM contains a vulnerability in checkpoint loading where an Attacker may cause an RCE by convincing a user to load a maliciously crafted file. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.Show less

NVIDIA Megatron-LM contains a vulnerability in checkpoint loading where, an attacker could cause an RCE by convincing a user to load a maliciously crafted file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.Show less

A weakness has been identified in TensorLayer up to 2.2.4. This affects the function load_hdf5_graph of the file tensorlayer/files/utils.py of the component HDF5 Loading. Executing a manipulation of the argument model_config can lead to deserialization. The attack can be executed remotely. The exploit has been made available to the public and could be used for attacks. The project was informed of the problem early through an issue report but has not responded yet.Show less

A flaw has been found in yoshitomo-matsubara torchdistill up to 1.1.5. This affects the function load_ckpt of the file torchdistill/common/main_util.py. Executing a manipulation of the argument src_ckpt can lead to deserialization. The attack needs to be launched locally. The exploit has been published and may be used. The project maintainer explains: "This is very similar to an internal report that GH auto-generated for the owner before, which I found tolerable for this project at that time. So I will close this as duplicate."Show less

MONAI 1.2.0 before 1.6.1 contains an insecure deserialization vulnerability in nnUNetV2Runner that unpickles the postprocessing_file path read from inference_information.json without confining it to the results directory. Attackers who can modify inference_information.json can point it at a malicious pickle elsewhere on the filesystem to execute code when predict_ensemble_postprocessing runs.Show less

MONAI 0.4.0 before 1.6.1 contains a remote code execution vulnerability that allows on-path attackers to execute code by tampering with SENet pretrained weights fetched over plaintext HTTP. Attackers can substitute a crafted .pth file that load_state_dict_from_url unpickles without weights_only=True, executing code when SEResNet50 or other SENet models are constructed with pretrained=True.Show less

Crawl4AI from 0.9.0 before 0.9.4 contains an untrusted-config gate bypass that allows non-admin API clients to construct forbidden config objects by wrapping them in dict-type wrappers. Attackers can send a laundered LLMConfig with api_token set to an env reference via /config/dump to read SECRET_KEY and provider keys, enabling admin JWT forgery.Show less

Square Squash through commit e73f280 contains an insecure deserialization vulnerability that allows unauthenticated attackers to store crafted YAML via the POST /api/1.0/symbolication endpoint. When occurrences referencing the attacker-controlled symbolication UUID are symbolicated, the stored values are passed to YAML.load with SafeYAML in unsafe mode, enabling arbitrary Ruby object deserialization and potential code execution.Show less

Deserialization of untrusted data vulnerability in Ministry of Justice General Directorate of Information Technology UYAP Document Editor on Windows and Linux and Ministry of Justice General Directorate of Information Technology UYAP Document Editor on MacOS allows Object Injection. This issue affects UYAP Document Editor: before 5.4.20; UYAP Document Editor: before 5.4.21.Show less

A deserialization of untrusted data vulnerability was found in ManageIQ. The YamlLoadAliases module overrides YAML.safe_load to silently fall back to YAML.unsafe_load in production when a Psych::DisallowedClass error occurs. An authenticated attacker with dialog import access can exploit this to achieve remote code execution by uploading a crafted YAML payload that triggers the fallback and deserializes arbitrary Ruby objects. Red Hat CloudForms, which was based on ManageIQ, has reached End of Life and is no longer supported. No errata or patches will be issued. This CVE is being assigned for the benefit of the ManageIQ community and downstream consumers.Show less