PT-2024-34593 · Lunary Ai · Lunary

Name of the Vulnerable Software and Affected Versions: lunary-ai/lunary versions up to and including 1.2.2 Description: An Improper Access Control issue exists, allowing unauthorized users to view any prompts in any projects by supplying a specific prompt ID to an endpoint that does not adequatel...

PT-2024-34582

Name of the Vulnerable Software and Affected Versions lunary-ai/lunary versions 1.2.2 through 1.2.24 Description An improper access control issue exists in the versions.patch functionality for updating prompts, allowing unauthorized users to update prompt details due to insufficient access contro...

CVE-2024-5184

The EmailGPT service contains a prompt injection vulnerability. The service uses an API service that allows a malicious user to inject a direct prompt and take over the service logic. Attackers can exploit the issue by forcing the AI service to leak the standard hard-coded system prompts and/or...

CVE-2024-5184 Prompt Injection in EmailGPT

The EmailGPT service contains a prompt injection vulnerability. The service uses an API service that allows a malicious user to inject a direct prompt and take over the service logic. Attackers can exploit the issue by forcing the AI service to leak the standard hard-coded system prompts and/or...

CVE-2024-5184 Prompt Injection in EmailGPT

The EmailGPT service contains a prompt injection vulnerability. The service uses an API service that allows a malicious user to inject a direct prompt and take over the service logic. Attackers can exploit the issue by forcing the AI service to leak the standard hard-coded system prompts and/or...

CVE-2024-5184

CVE-2024-5184 affects the EmailGPT service. The vulnerability is a prompt injection flaw in the service’s API, enabling a malicious user to inject prompts and take over service logic. Exploitation can force leakage of hard-coded system prompts and/or execution of unwanted prompts, with attacks po...

EmailGPT Security Vulnerabilities

EmailGPT is a Google Chrome extension by individual developer Nasrullah in Singapore that helps users compose emails in Gmail using OpenAI's GPT-3.5 model. A security vulnerability exists in EmailGPT that stems from the inclusion of a prompt injection vulnerability...

CVE-2024-5184: Improper Neutralization of Special Elements in Output Used by a Downstream Component

The EmailGPT service contains a prompt injection vulnerability. The service uses an API service that allows a malicious user to inject a direct prompt and take over the service logic. Attackers can exploit the issue by forcing the AI service to leak the standard hard-coded system prompts and/or...

PT-2024-34967 · Emailgpt · Emailgpt

Name of the Vulnerable Software and Affected Versions: EmailGPT affected versions not specified Description: The EmailGPT service contains a prompt injection vulnerability. The service uses an API service that allows a malicious user to inject a direct prompt and take over the service logic...

AI jailbreaks: What they are and how they can be mitigated

Generative AI systems are made up of multiple components that interact to provide a rich user experience between the human and the AI models. As part of a responsible AI approach, AI models are protected by layers of defense mechanisms to prevent the production of harmful content or being used to...

SUSE CVE-2023-22499

Deno is a runtime for JavaScript and TypeScript that uses V8 and is built in Rust. Multi-threaded programs were able to spoof interactive permission prompt by rewriting the prompt to suggest that program is waiting on user confirmation to unrelated action. A malicious program could clear the...

EAP: OIDC app attempting to access the second tenant, the user should be prompted to log

A flaw was found in Red Hat Enterprise Application Platform 8. When an OIDC app that serves multiple tenants attempts to access the second tenant, it should prompt the user to log in again since the second tenant is secured with a different OIDC configuration. The underlying issue is in...

EAP: OIDC app attempting to access the second tenant, the user should be prompted to log

A flaw was found in Red Hat Enterprise Application Platform 8. When an OIDC app that serves multiple tenants attempts to access the second tenant, it should prompt the user to log in again since the second tenant is secured with a different OIDC configuration. The underlying issue is in...

[SECURITY] Fedora 39 Update: rust-silver-2.0.1-8.fc39

A cross-shell customizable powerline-like prompt with icons...

[SECURITY] Fedora 39 Update: rust-pretty-git-prompt-0.2.2-2.fc39

Your current git repository information inside a beautiful shell prompt...

MAI-2024-0055

Large Vision Language Models LVLMs are susceptible to a sophisticated attack known as the bi-modal adversarial prompt BAP. This attack exploits the integration of textual and visual prompts to circumvent established safety protocols, thereby eliciting harmful outputs from models engineered to...

Vanna prompt injection code execution

The Vanna library uses a prompt function to present the user with visualized results, it is possible to alter the prompt using prompt injection and run arbitrary Python code instead of the intended visualization code. Specifically - allowing external input to the library’s “ask” method with...

GHSA-7735-W2JP-GVG6 Vanna prompt injection code execution

The Vanna library uses a prompt function to present the user with visualized results, it is possible to alter the prompt using prompt injection and run arbitrary Python code instead of the intended visualization code. Specifically - allowing external input to the library’s “ask” method with...

CVE-2024-5565

The Vanna library uses a prompt function to present the user with visualized results, it is possible to alter the prompt using prompt injection and run arbitrary Python code instead of the intended visualization code. Specifically - allowing external input to the library’s “ask” method with...

CVE-2024-5565 Prompt Injection in "ask" API with visualization leads to RCE

The Vanna library uses a prompt function to present the user with visualized results, it is possible to alter the prompt using prompt injection and run arbitrary Python code instead of the intended visualization code. Specifically - allowing external input to the library’s “ask” method with...