Gpt Sovits
Approved changes feed: RSS · Atom
cpe:2.3:a:rvc-boss:gpt-sovits:*:*:*:*:*:*:*:*
part: a version: * update: *
| Vendor | Rvc Boss (b43499f1-0c6f-57ab-b547-32d42dbf7dc2) |
|---|---|
| Product | Gpt Sovits (1793261d-76fa-5cad-87ea-0dab410954b1) |
| Edition | * |
| Language | * |
| Software edition | * |
| Target software | * |
| Target hardware | * |
| Other | * |
| Notes | Imported from purl2cpe mapping |
PURL mappings
| PURL | Source | Last updated |
|---|---|---|
pkg:github/rvc-boss/gpt-sovits |
purl2cpe | 2026-06-01 10:15:30.070708 |
pkg:pypi/gpt-sovits-python |
purl2cpe | 2026-07-28 16:41:06.919317 |
Vulnerability references
| Identifier | cpeApplicability | Submitted | db.gcve.eu details | Rationale |
|---|---|---|---|---|
CVE:CVE-2026-63766 |
vulnerable | 2026-07-29 01:06:19.467683 |
GPT-SoVITS 20250606v2pro OS Command Injection via webui.py
CRITICAL (9.8)
GPT-SoVITS through 20250606v2pro contains an OS command injection vulnerability in webui.py where ASR, slice, denoise, and uvr5 functions interpolate unsanitized Gradio textbox values directly into shell commands executed with shell=True. Attackers can inject shell metacharacters through path parameters to execute arbitrary OS commands as the server process user without authentication.
Published: 2026-07-20T19:18:09.685Z
Updated: 2026-07-28T01:05:53.752Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-49841 |
vulnerable | 2026-06-08 07:29:14.993201 |
GHSL-2025-053: GPT-SoVITS Deserialization of Untrusted Data vulnerability
GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is an unsafe deserialization vulnerability in process_ckpt.py. The SoVITS_dropdown variable takes user input and passes it to the load_sovits_new function in process_ckpt.py. In load_sovits_new, the user input, here sovits_path is used to load a model with torch.load, leading to unsafe deserialization. At time of publication, no known patched versions are available.
Published: 2025-07-15T20:43:02.861Z
Updated: 2025-07-18T14:42:18.165Z Reference links
|
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-49840 |
vulnerable | 2026-06-08 07:29:14.992892 |
GHSL-2025-052: GPT-SoVITS Deserialization of Untrusted Data vulnerability
GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is an unsafe deserialization vulnerability in inference_webui.py. The GPT_dropdown variable takes user input and passes it to the change_gpt_weights function. In change_gpt_weights, the user input, here gpt_path is used to load a model with torch.load, leading to unsafe deserialization. At time of publication, no known patched versions are available.
Published: 2025-07-15T20:42:09.931Z
Updated: 2025-07-16T16:22:55.467Z Reference links
|
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-49839 |
vulnerable | 2026-06-08 07:29:14.992562 |
GHSL-2025-051: GPT-SoVITS Deserialization of Untrusted Data vulnerability
GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is an unsafe deserialization vulnerability in bsroformer.py. The model_choose variable takes user input (e.g. a path to a model) and passes it to the uvr function. In uvr, a new instance of Roformer_Loader class is created with the model_path attribute containing the aformentioned user input (here called locally model_name). Note that in this step the .ckpt extension is added to the path. In the Roformer_Loader class, the user input, here called model_path, is used to load the model on that path with torch.load, which can lead to unsafe deserialization. At time of publication, no known patched versions are available.
Published: 2025-07-15T20:40:18.251Z
Updated: 2025-07-16T13:40:13.900Z Reference links
|
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-49838 |
vulnerable | 2026-06-08 07:29:14.992041 |
GHSL-2025-050: GPT-SoVITS Deserialization of Untrusted Data vulnerability
GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is an unsafe deserialization vulnerability in vr.py AudioPreDeEcho. The model_choose variable takes user input (e.g. a path to a model) and passes it to the uvr function. In uvr, a new instance of AudioPreDeEcho class is created with the model_path attribute containing the aforementioned user input (here called locally model_name). Note that in this step the .pth extension is added to the path. In the AudioPreDeEcho class, the user input, here called model_path, is used to load the model on that path with torch.load, which can lead to unsafe deserialization. At time of publication, no known patched versions are available.
Published: 2025-07-15T20:36:46.859Z
Updated: 2025-07-16T13:41:00.432Z Reference links
|
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-49837 |
vulnerable | 2026-06-08 07:29:14.991598 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-49836 |
vulnerable | 2026-06-08 07:29:14.991165 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-49835 |
vulnerable | 2026-06-08 07:29:14.990828 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-49834 |
vulnerable | 2026-06-08 07:29:14.990294 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-49833 |
vulnerable | 2026-06-08 07:29:14.988902 | db.gcve.eu details were skipped to keep the page responsive. | Imported from gcve-enriched-dumps CVE data |
Contribute
You can submit an edit proposal for this CPE entry or suggest a related product/vendor addition using the action button above.