CWE-502
Deserialization of Untrusted Data
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
CVE-2025-49434 (GCVE-0-2025-49434)
Vulnerability from cvelistv5 – Published: 2025-08-20 08:03 – Updated: 2026-04-28 16:13- CWE-502 - Deserialization of Untrusted Data
| URL | Tags |
|---|---|
| https://patchstack.com/database/Wordpress/Theme/c… | vdb-entry |
| Vendor | Product | Version | |
|---|---|---|---|
| axiomthemes | Cars4Rent |
Affected:
0 , ≤ 1.4.2
(custom)
|
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CVE-2025-49438 (GCVE-0-2025-49438)
Vulnerability from cvelistv5 – Published: 2025-08-20 08:03 – Updated: 2026-04-28 16:13- CWE-502 - Deserialization of Untrusted Data
| URL | Tags |
|---|---|
| https://patchstack.com/database/wordpress/plugin/… | vdb-entry |
| Vendor | Product | Version | |
|---|---|---|---|
| Max Chirkov | Simple Login Log |
Affected:
n/a , ≤ 1.1.3
(custom)
|
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CVE-2025-49455 (GCVE-0-2025-49455)
Vulnerability from cvelistv5 – Published: 2025-06-10 12:43 – Updated: 2026-04-28 16:13- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
| URL | Tags |
|---|---|
| https://patchstack.com/database/Wordpress/Plugin/… | vdb-entry |
| Vendor | Product | Version | |
|---|---|---|---|
| ClickandPledge | WordPress-WPJobBoard |
Affected:
0 , ≤ 25.07010000-WP6.8.1-JB5.11.5
(custom)
|
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CVE-2025-49507 (GCVE-0-2025-49507)
Vulnerability from cvelistv5 – Published: 2025-06-10 12:42 – Updated: 2026-04-28 16:13- CWE-502 - Deserialization of Untrusted Data
| URL | Tags |
|---|---|
| https://patchstack.com/database/Wordpress/Theme/c… | vdb-entry |
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CVE-2025-49533 (GCVE-0-2025-49533)
Vulnerability from cvelistv5 – Published: 2025-07-08 21:32 – Updated: 2026-02-26 17:51- CWE-502 - Deserialization of Untrusted Data (CWE-502)
| URL | Tags |
|---|---|
| https://helpx.adobe.com/security/products/aem-for… | vendor-advisory |
| Vendor | Product | Version | |
|---|---|---|---|
| Adobe | Adobe Experience Manager (MS) |
Affected:
0 , ≤ 6.5.23.0
(semver)
|
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CVE-2025-49655 (GCVE-0-2025-49655)
Vulnerability from cvelistv5 – Published: 2025-10-17 15:20 – Updated: 2025-10-17 15:58- CWE-502 - Deserialization of Untrusted Data
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CVE-2025-49712 (GCVE-0-2025-49712)
Vulnerability from cvelistv5 – Published: 2025-08-12 17:10 – Updated: 2026-02-13 18:55- CWE-502 - Deserialization of Untrusted Data
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisorypatch |
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|---|---|---|---|
| Microsoft | Microsoft SharePoint Enterprise Server 2016 |
Affected:
16.0.0 , < 16.0.5513.1002
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|
|
| Microsoft | Microsoft SharePoint Server 2019 |
Affected:
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CVE-2025-49837 (GCVE-0-2025-49837)
Vulnerability from cvelistv5 – Published: 2025-07-15 20:34 – Updated: 2025-07-16 13:44- CWE-502 - Deserialization of Untrusted Data
| URL | Tags |
|---|---|
| https://securitylab.github.com/advisories/GHSL-20… | x_refsource_CONFIRM |
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| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
| Vendor | Product | Version | |
|---|---|---|---|
| RVC-Boss | GPT-SoVITS |
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CVE-2025-49838 (GCVE-0-2025-49838)
Vulnerability from cvelistv5 – Published: 2025-07-15 20:36 – Updated: 2025-07-16 13:41- CWE-502 - Deserialization of Untrusted Data
| URL | Tags |
|---|---|
| https://securitylab.github.com/advisories/GHSL-20… | x_refsource_CONFIRM |
| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
| Vendor | Product | Version | |
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| RVC-Boss | GPT-SoVITS |
Affected:
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CVE-2025-49839 (GCVE-0-2025-49839)
Vulnerability from cvelistv5 – Published: 2025-07-15 20:40 – Updated: 2025-07-16 13:40- CWE-502 - Deserialization of Untrusted Data
| URL | Tags |
|---|---|
| https://securitylab.github.com/advisories/GHSL-20… | x_refsource_CONFIRM |
| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
| Vendor | Product | Version | |
|---|---|---|---|
| RVC-Boss | GPT-SoVITS |
Affected:
<= 20250228v3
|
{
"containers": {
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"content": {
"id": "CVE-2025-49839",
"options": [
{
"Exploitation": "none"
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{
"Automatable": "yes"
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{
"Technical Impact": "total"
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"cna": {
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"product": "GPT-SoVITS",
"vendor": "RVC-Boss",
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"descriptions": [
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"lang": "en",
"value": "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."
}
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"metrics": [
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"cvssV4_0": {
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"baseScore": 8.9,
"baseSeverity": "HIGH",
"privilegesRequired": "NONE",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P",
"version": "4.0",
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"vulnConfidentialityImpact": "HIGH",
"vulnIntegrityImpact": "HIGH"
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"cweId": "CWE-502",
"description": "CWE-502: Deserialization of Untrusted Data",
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"name": "https://securitylab.github.com/advisories/GHSL-2025-049_GHSL-2025-053_RVC-Boss_GPT-SoVITS/",
"tags": [
"x_refsource_CONFIRM"
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"tags": [
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{
"name": "https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L157",
"tags": [
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{
"name": "https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L192-L205",
"tags": [
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"url": "https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L192-L205"
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"name": "https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L52-L59",
"tags": [
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"url": "https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L52-L59"
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"source": {
"advisory": "GHSA-w7m6-qhr5-9x9g",
"discovery": "UNKNOWN"
},
"title": "GHSL-2025-051: GPT-SoVITS Deserialization of Untrusted Data vulnerability"
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"datePublished": "2025-07-15T20:40:18.251Z",
"dateReserved": "2025-06-11T14:33:57.800Z",
"dateUpdated": "2025-07-16T13:40:13.900Z",
"state": "PUBLISHED"
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Mitigation
Phases: Architecture and Design, Implementation
Description:
- If available, use the signing/sealing features of the programming language to assure that deserialized data has not been tainted. For example, a hash-based message authentication code (HMAC) could be used to ensure that data has not been modified.
Mitigation
Phase: Implementation
Description:
- When deserializing data, populate a new object rather than just deserializing. The result is that the data flows through safe input validation and that the functions are safe.
Mitigation
Phase: Implementation
Description:
- Explicitly define a final object() to prevent deserialization.
Mitigation
Phases: Architecture and Design, Implementation
Description:
- Make fields transient to protect them from deserialization.
- An attempt to serialize and then deserialize a class containing transient fields will result in NULLs where the transient data should be. This is an excellent way to prevent time, environment-based, or sensitive variables from being carried over and used improperly.
Mitigation
Phase: Implementation
Description:
- Avoid having unnecessary types or gadgets (a sequence of instances and method invocations that can self-execute during the deserialization process, often found in libraries) available that can be leveraged for malicious ends. This limits the potential for unintended or unauthorized types and gadgets to be leveraged by the attacker. Add only acceptable classes to an allowlist. Note: new gadgets are constantly being discovered, so this alone is not a sufficient mitigation.
Mitigation
Phases: Architecture and Design, Implementation
Description:
- Employ cryptography of the data or code for protection. However, it's important to note that it would still be client-side security. This is risky because if the client is compromised then the security implemented on the client (the cryptography) can be bypassed.
Mitigation ID: MIT-29
Phase: Operation
Strategy: Firewall
Description:
- Use an application firewall that can detect attacks against this weakness. It can be beneficial in cases in which the code cannot be fixed (because it is controlled by a third party), as an emergency prevention measure while more comprehensive software assurance measures are applied, or to provide defense in depth [REF-1481].
CAPEC-586: Object Injection
An adversary attempts to exploit an application by injecting additional, malicious content during its processing of serialized objects. Developers leverage serialization in order to convert data or state into a static, binary format for saving to disk or transferring over a network. These objects are then deserialized when needed to recover the data/state. By injecting a malformed object into a vulnerable application, an adversary can potentially compromise the application by manipulating the deserialization process. This can result in a number of unwanted outcomes, including remote code execution.