Malicious Package

Overview load-bufferjs is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization and this package...

Malicious code in load-bufferjs (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 04d9f5ba202651d252a375411cf609db6f9a7ae83f164f6f2e66559a6dff5b92 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

MAL-2026-3658 Malicious code in load-bufferjs (npm)

--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware 04d9f5ba202651d252a375411cf609db6f9a7ae83f164f6f2e66559a6dff5b92 Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...

golang: archive/zip: Excessive CPU consumption when building archive index in archive/zip

A flaw was found in the archive/zip package in the Go standard library. A super-linear file name indexing algorithm is used in the first time a file in an archive is opened. A crafted zip archive containing a specific arrangement of file names can cause an excessive CPU and memory consumption. A ...

jq: Embedded NUL truncates top-level jq programs loaded with -f

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SUSE CVE-2026-41256

jq is a command-line JSON processor. In 1.8.1 and earlier, Top-level jq programs loaded from a file with -f are truncated at the first embedded NUL byte on current upstream HEAD. A crafted filter file such as . followed by \x00 and arbitrary suffix compiles and executes as only the prefix before...

SUSE CVE-2026-43331

In the Linux kernel, the following vulnerability has been resolved: x86/kexec: Disable KCOV instrumentation after loadsegments The loadsegments function changes segment registers, invalidating GS base which KCOV relies on for per-cpu data. When CONFIGKCOV is enabled, any subsequent instrumented C...

vm2 安全漏洞

vm2 is a high-level virtual machine/sandbox developed by Czech developer Patrik Simek. It runs untrusted code using Node’s built-in modules listed in the allowlist. Versions of vm2 prior to 3.11.0 have security vulnerabilities; these vulnerabilities arise from the ability to bypass NodeVM’s...

PT-2026-40555

Improper enforcement of the LFENCE serialization property may allow an attacker to bypass speculation barriers and potentially disclose sensitive information, potentially resulting in loss of confidentiality...

CVE-2026-31249

CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its makeparquetlist.py data processing tool. The script loads PyTorch .pt files utterance embeddings, speaker embeddings, speech tokens using torch.load without...

CVE-2026-31252

CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its model loading component. The framework uses torch.load to load model weight files e.g., llm.pt, flow.pt, hift.pt without enabling the security-restrictive...

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...

mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub

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...

EUVD-2026-29552

The Adversarial Robustness Toolbox ART thru 1.20.1 contains an insecure deserialization vulnerability CWE-502 in its Kubeflow component's model loading functionality. When loading model weights from a file e.g., model.pt during robustness evaluation, the code uses torch.load without the...

EUVD-2026-29507

The snorkel library thru v0.10.0 contains a critical insecure deserialization vulnerability CWE-502 in the BaseLabeler.load method of the BaseLabeler class. The method loads serialized labeler models using the unsafe pickle.load function on user-supplied file paths without any validation or...

Deserialization of Untrusted Data

Overview snorkel is an A system for quickly generating training data with weak supervision Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the MultitaskClassifier.load function. An attacker can execute arbitrary code by supplying a maliciously crafted mode...

GHSA-FQ92-QC8F-482V Snorkel BaseLabeler.load uses an unsafe pickle.load

The snorkel library thru v0.10.0 contains a critical insecure deserialization vulnerability CWE-502 in the BaseLabeler.load method of the BaseLabeler class. The method loads serialized labeler models using the unsafe pickle.load function on user-supplied file paths without any validation or...

EUVD-2026-29506

The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability CWE-502 in the Trainer.load method of the Trainer class. The method loads model checkpoint files using torch.load without enabling the security-restrictive weightsonly=True parameter. This default behavior allows...

EUVD-2026-29508

The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability CWE-502 in the MultitaskClassifier.load method of the MultitaskClassifier class. The method loads model weight files using torch.load without enabling the security-restrictive weightsonly=True parameter. This...

Deserialization of Untrusted Data

Overview snorkel is an A system for quickly generating training data with weak supervision Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the Trainer.load function. An attacker can execute arbitrary code by supplying a maliciously crafted model file that ...