CVEs

In Eclipse GlassFish since version 6.2.5 it is possible to perform a Server Side Request Forgery attack in specific endpoints.

Cross-Site Request Forgery (CSRF) vulnerability in Shahjahan Jewel FluentSnippets easy-code-manager allows Cross Site Request Forgery.This issue affects FluentSnippets: from n/a through <= 10.50.

In Eclipse GlassFish versions before 8.0.3 it is possible to perform Login Brute Force attacks as there is no limitation in the number of failed login attempts. GlassFish 8.0.3 adds automatic attack protection documented in https://glassfish.org/docs/latest/security-guide.html#brute-force-attack-protection .

A buffer overflow vulnerability in the URL parser of the zhttpd web server in Zyxel VMG8825-T50K firmware versions prior to V5.50(ABOM.5)C0 could allow an unauthenticated attacker to cause denial-of-service (DoS) conditions and potentially execute arbitrary code by sending a specially crafted HTTP request.

Successful exploitation of the vulnerability could allow an unauthenticated attacker to obtain a valid session ID with administrator privileges by spoofing the login request, potentially allowing the attacker to modify the behaviour of the access point.

Successful exploitation of the vulnerability could allow an attacker to inject commands with root privileges on the access point, potentially leading to the loss of confidentiality, integrity, availability, and full control of the access point.

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.

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.

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

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 pat

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 AudioPre. 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 AudioPre 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 Au

GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is a command injection vulnerability in webui.py change_label function. path_list takes user input, which is passed to the change_label function, which concatenates the user input into a command and runs it on the server, leading to arbitrary command execution. At time of publication, no known patched versions are available.

GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is a command injection vulnerability in webui.py open_asr function. asr_inp_dir (and a number of other variables) takes user input, which is passed to the open_asr function, which concatenates the user input into a command and runs it on the server, leading to arbitrary command execution. At time of publication, no known patched versions are available.

GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is a command injection vulnerability in webui.py open_denoise function. denoise_inp_dir and denoise_opt_dir take user input, which is passed to the open_denoise function, which concatenates the user input into a command and runs it on the server, leading to arbitrary command execution. At time of publication, no known patched versions are available.

GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is a command injection vulnerability in the webui.py open_slice function. slice_opt_root and slice-inp-path takes user input, which is passed to the open_slice function, which concatenates the user input into a command and runs it on the server, leading to arbitrary command execution. At time of publication, no known patched versions are available.

An attacker of Secrets Manager, Self-Hosted installations that route traffic from Secrets Manager to AWS through a misconfigured network device can reroute authentication requests to a malicious server under the attacker’s control. CyberArk believes there to be very few installations where this issue can be actively exploited, though Secrets Manager, Self-Hosted (formerly Conjur Enterprise) prior to versions 13.5.1 and 13.6.1 and Conjur OSS prior to version 1.22.1 may be affected. Conjur OSS ver

Vulnerability in Oracle Application Express (component: Strategic Planner Starter App). Supported versions that are affected are 24.2.4 and 24.2.5. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Application Express. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle Application Express, attacks may significantly impact additional products (scope change).

Conjur provides secrets management and application identity for infrastructure. Conjur OSS versions 1.19.5 through 1.22.0 and Secrets Manager, Self-Hosted (formerly known as Conjur Enterprise) 13.1 through 13.5 and 13.6 are vulnerable to bypass of the IAM authenticator. An attacker who can manipulate the headers signed by AWS can take advantage of a malformed regular expression to redirect the authentication validation request that Secrets Manager, Self-Hosted sends to AWS to a malicious server