CVE-2026-67211

OOM Denial of Service via Unbounded Map Pre-Sizing in Apache OpenNLP SymSpellModelSerializer Versions Affected: - 3.0.0-M4 - 3.0.0-M5 The opennlp-spellcheck extension was introduced in 3.0.0-M4. Releases 1.x and 2.x do not contain the affected code. Description: The SymSpellModelSerializer.create...

CVE-2026-88054

Tesseract is an open source OCR engine. In version 5.5.3 and earlier, Plumbing::DeSerialize in src/lstm/plumbing.cpp rejects excessively large network stacks but accepts a zero-length stack for NTSERIES, NTPARALLEL, or NTREVERSED layers in a crafted .traineddata model. During LSTMRecognizer...

EUVD-2026-75636

Tesseract is an open source OCR engine. In version 5.5.3 and earlier, Plumbing::DeSerialize in src/lstm/plumbing.cpp rejects excessively large network stacks but accepts a zero-length stack for NTSERIES, NTPARALLEL, or NTREVERSED layers in a crafted .traineddata model. During LSTMRecognizer...

OESA-2026-3569 tesseract security update

A commercial quality OCR engine originally developed at HP between 1985 and 1995. In 1995, this engine was among the top 3 evaluated by UNLV. It was open-sourced by HP and UNLV in 2005. Security Fixes: Tesseract is an open source OCR engine. Prior to 5.5.3, a crafted .traineddata LSTM model...

CVE-2026-73067

Tesseract is an open source OCR engine. Prior to 5.5.3, a crafted .traineddata model loaded through TessBaseAPI::Init can cause SquishedDawg::readsquisheddawg in src/dict/dawg.cpp to accept an unterminated forward-edge run, after which SquishedDawg::Load calls numforwardedges0 and lastedge in...

UBUNTU-CVE-2026-73067

Tesseract is an open source OCR engine. Prior to 5.5.3, a crafted .traineddata model loaded through TessBaseAPI::Init can cause SquishedDawg::readsquisheddawg in src/dict/dawg.cpp to accept an unterminated forward-edge run, after which SquishedDawg::Load calls numforwardedges0 and lastedge in...

CVE-2026-73067 Tesseract: Heap OOB read in the DAWG loader

Tesseract is an open source OCR engine. Prior to 5.5.3, a crafted .traineddata model loaded through TessBaseAPI::Init can cause SquishedDawg::readsquisheddawg in src/dict/dawg.cpp to accept an unterminated forward-edge run, after which SquishedDawg::Load calls numforwardedges0 and lastedge in...

Hugging Face Diffusers Flaws Could Let Model Repositories Execute Arbitrary Code

Three high-severity security flaws have been disclosed in Hugging Face's Diffusers library that could allow crafted model repositories to stealthily execute arbitrary code on machines that load it, opening the artificial intelligence AI supply chain to security risk. "These vulnerabilities are...

PYSEC-2026-3095 Division by zero in TFLite

Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added...

CVE-2026-54499

A flaw was found in Stanza, a Stanford NLP Python library. Stanza model loaders, such as stanza.models.common.pretrain.Pretrain.load, attempt to safely load PyTorch checkpoint files. However, if this safe load fails due to an attacker-controllable pickle.UnpicklingError, the loaders fall back to ...

PYSEC-2026-1928 Skops unsafe deserialization

Deserialization of untrusted data can occur in versions 0.6 or newer of the skops python library, enabling a maliciously crafted model to run arbitrary code on an end user's system when loaded...

EUVD-2026-33701

An issue in ESA AnomalyMatch before 1.3.1 allow attackers to execute arbitrary code via crafted model checkpoint files. The affected components load model files from session directories using torch.load with unrestricted deserialization...

PT-2026-45457

An issue in ESA AnomalyMatch before 1.3.1 allow attackers to execute arbitrary code via crafted model checkpoint files. The affected components load model files from session directories using torch.load with unrestricted deserialization...

EUVD-2026-29555

The CosyVoice project thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its model loading process. When loading model files .pt from a user-specified directory via the --modeldir argument, the code uses torch.load without...

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 ...

CVE-2026-31224

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...

CVE-2026-31222

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...

CVE-2026-31219

The connected documents confirm a concrete vulnerability in the optimate project: the _load_model() (or load_model()) function in neural_magic_training.py deserializes a single model file passed via --model using torch.load() without weights_only=True, enabling arbitrary Python object deserializa...

CVE-2026-42027

A flaw was found in Apache OpenNLP. An attacker, by providing a specially crafted model archive, can exploit a vulnerability in the ExtensionLoader component. This allows the attacker to force the system to load and initialize any class present on the classpath, executing its static initializer...

Apache OpenNLP 安全漏洞

Apache OpenNLP is a natural language processing toolkit developed by the Apache Foundation. Versions of Apache OpenNLP prior to 2.5.9 and 3.0.0-M3 contained security vulnerabilities. These vulnerabilities stemmed from the ExtensionLoader.instantiateExtension method, which loaded and initialized...