Total
3619 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2026-32513 | 2026-06-17 | N/A | 8.8 HIGH | ||
| Deserialization of Untrusted Data vulnerability in Miguel Useche JS Archive List jquery-archive-list-widget allows Object Injection.This issue affects JS Archive List: from n/a through <= 6.1.7. | |||||
| CVE-2026-32512 | 2026-06-17 | N/A | 9.8 CRITICAL | ||
| Deserialization of Untrusted Data vulnerability in Edge-Themes Pelicula pelicula-video-production-and-movie-theme allows Object Injection.This issue affects Pelicula: from n/a through < 1.10. | |||||
| CVE-2026-32511 | 2026-06-17 | N/A | 5.4 MEDIUM | ||
| Deserialization of Untrusted Data vulnerability in Mikado-Themes Stål stal allows Object Injection.This issue affects Stål: from n/a through < 1.7. | |||||
| CVE-2026-32510 | 2026-06-17 | N/A | 5.4 MEDIUM | ||
| Deserialization of Untrusted Data vulnerability in Edge-Themes Kamperen kamperen allows Object Injection.This issue affects Kamperen: from n/a through < 1.3. | |||||
| CVE-2026-32509 | 2026-06-17 | N/A | 5.4 MEDIUM | ||
| Deserialization of Untrusted Data vulnerability in Edge-Themes Gracey gracey allows Object Injection.This issue affects Gracey: from n/a through < 1.4. | |||||
| CVE-2026-32508 | 2026-06-17 | N/A | 5.4 MEDIUM | ||
| Deserialization of Untrusted Data vulnerability in Mikado-Themes Halstein halstein allows Object Injection.This issue affects Halstein: from n/a through < 1.8. | |||||
| CVE-2026-32507 | 2026-06-17 | N/A | 5.4 MEDIUM | ||
| Deserialization of Untrusted Data vulnerability in Elated-Themes Leroux leroux allows Object Injection.This issue affects Leroux: from n/a through < 1.4. | |||||
| CVE-2026-32506 | 2026-06-17 | N/A | 5.4 MEDIUM | ||
| Deserialization of Untrusted Data vulnerability in Edge-Themes Archicon archicon allows Object Injection.This issue affects Archicon: from n/a through < 1.7. | |||||
| CVE-2026-32502 | 2026-06-17 | N/A | 9.8 CRITICAL | ||
| Deserialization of Untrusted Data vulnerability in Select-Themes Borgholm borgholm-marketing-agency-theme allows Object Injection.This issue affects Borgholm: from n/a through < 1.6. | |||||
| CVE-2026-32484 | 2026-06-17 | N/A | 8.8 HIGH | ||
| Deserialization of Untrusted Data vulnerability in BoldGrid weForms weforms allows Object Injection.This issue affects weForms: from n/a through <= 1.6.26. | |||||
| CVE-2026-32355 | 2026-06-17 | N/A | 8.8 HIGH | ||
| Deserialization of Untrusted Data vulnerability in Crocoblock JetEngine jet-engine allows Object Injection.This issue affects JetEngine: from n/a through < 3.8.4.1. | |||||
| CVE-2026-31253 | 2026-06-17 | N/A | 7.3 HIGH | ||
| The flash-attention training framework thru commit e724e2588cbe754beb97cf7c011b5e7e34119e62 (2025-13-04) contains an insecure deserialization vulnerability (CWE-502) in its checkpoint loading mechanism. The load_checkpoint() function in checkpoint.py and the checkpoint loading code in eval.py use torch.load() without enabling the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing a maliciously crafted checkpoint file. When a victim loads this checkpoint during model warmstarting or evaluation, arbitrary code is executed on the victim's system. | |||||
| CVE-2026-31250 | 2026-06-17 | N/A | 7.3 HIGH | ||
| CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its average_model.py model averaging tool. The script loads PyTorch checkpoint files (epoch_*.pt) for model averaging using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing malicious checkpoint files within a directory. When a victim uses the tool to average models from this directory, arbitrary code is executed on the victim's system. | |||||
| CVE-2026-31249 | 2026-06-17 | N/A | 7.3 HIGH | ||
| CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its make_parquet_list.py data processing tool. The script loads PyTorch .pt files (utterance embeddings, speaker embeddings, speech tokens) using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing malicious .pt files within a data directory. When a victim processes this directory using the tool, arbitrary code is executed on the victim's system. | |||||
| CVE-2026-31238 | 2026-06-17 | N/A | 9.8 CRITICAL | ||
| 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 weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing a maliciously crafted PyTorch model file, leading to arbitrary code execution on the system hosting the Ludwig model server. | |||||
| CVE-2026-31235 | 2026-06-17 | N/A | 9.8 CRITICAL | ||
| 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. | |||||
| CVE-2026-31232 | 2026-06-17 | N/A | 8.8 HIGH | ||
| 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 --model_dir argument), the code uses torch.load() without the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the Pickle module. An attacker can exploit this by providing a maliciously crafted model directory containing .pt files with embedded pickle payloads. When a victim loads this directory using CosyVoice's web interface, the malicious payload is executed, leading to remote code execution on the victim's system. | |||||
| CVE-2026-31221 | 1 Lightningai | 1 Pytorch Lightning | 2026-06-17 | N/A | 7.8 HIGH |
| PyTorch-Lightning versions 2.6.0 and earlier contain an insecure deserialization vulnerability (CWE-502) in the checkpoint loading mechanism. The LightningModule.load_from_checkpoint() method, which is commonly used to load saved model states, internally calls torch.load() without setting the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted checkpoint file, leading to arbitrary code execution on the victim's system when the file is loaded. | |||||
| CVE-2026-31219 | 2026-06-17 | N/A | 8.8 HIGH | ||
| The _load_model() function in the neural_magic_training.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 argument, the function loads the file using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects through the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution during deserialization on the victim's system. | |||||
| CVE-2026-31218 | 2026-06-17 | N/A | 8.8 HIGH | ||
| The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) is vulnerable to insecure deserialization (CWE-502). When loading a model state dictionary from a state_dict.pt file via torch.load(), the function does not enable the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects through the Pickle module. A remote attacker can exploit this by providing a maliciously crafted state_dict.pt file within a directory specified via the --model argument, leading to arbitrary code execution during the deserialization process on the victim's system. | |||||