When AI Meets the Web: Prompt Injection Risks in Third-Party AI Chatbot Plugins

Prompt injection attacks pose a critical threat to large language models LLMs, with prior work focusing on cutting-edge LLM applications like personal copilots. In contrast, simpler LLM applications, such as customer service chatbots, are widespread on the web, yet their security posture and...

PT-2025-45527

Name of the Vulnerable Software and Affected Versions Open WebUI versions 0.6.34 and below Description Open WebUI, a self-hosted artificial intelligence platform designed for offline operation, contains a Stored DOM XSS issue. When the 'Insert Prompt as Rich Text' functionality is enabled, the...

EUVD-2025-38155

A Server-Side Request Forgery SSRF in the /api/proxy/ component of linshenkx prompt-optimizer v1.3.0 to v1.4.2 allows attackers to scan internal resources via a crafted request...

CVE-2025-60541

A Server-Side Request Forgery SSRF in the /api/proxy/ component of linshenkx prompt-optimizer v1.3.0 to v1.4.2 allows attackers to scan internal resources via a crafted request...

CVE-2025-64110

Cursor is a code editor built for programming with AI. In versions 1.7.23 and below, a logic bug allows a malicious agent to read sensitive files that should be protected via cursorignore. An attacker who has already achieved prompt injection, or a malicious model, could create a new cursorignore...

CVE-2025-60541

A Server-Side Request Forgery SSRF in the /api/proxy/ component of linshenkx prompt-optimizer v1.3.0 to v1.4.2 allows attackers to scan internal resources via a crafted request...

CVE-2025-60541

The linshenkx prompt-optimizer software (versions 1.3.0 through 1.4.2 ) is vulnerable to a Server-Side Request Forgery (SSRF) within the /api/proxy/ component. An attacker can exploit this vulnerability by sending a specially crafted request to the /api/proxy endpoint, which allows them to scan i...

Large Language Models for Cyber Security

This paper studies the integration off Large Language Models into cybersecurity tools and protocols. The main issue discussed in this paper is how traditional rule-based and signature based security systems are not enough to deal with modern AI powered cyber threats. Cybersecurity industry is...

CVE-2025-60541

A Server-Side Request Forgery SSRF in the /api/proxy/ component of linshenkx prompt-optimizer v1.3.0 to v1.4.2 allows attackers to scan internal resources via a crafted request...

From Model to Breach: Towards Actionable LLM-Generated Vulnerabilities Reporting

As the role of Large Language Models LLM-based coding assistants in software development becomes more critical, so does the role of the bugs they generate in the overall cybersecurity landscape. While a number of LLM code security benchmarks have been proposed alongside approaches to improve the...

PT-2025-45351

Name of the Vulnerable Software and Affected Versions linshenkx prompt-optimizer versions 1.3.0 through 1.4.2 Description A Server-Side Request Forgery SSRF exists in the /api/proxy/ component. This allows attackers to scan internal resources by sending a specially crafted request. The api/proxy...

Prompt Optimizer 安全漏洞

Prompt Optimizer is a prompt word optimizer by and Alchemy Time Personal Developer. A security vulnerability exists in Prompt Optimizer versions 1.3.0 through 1.4.2, which stems from a server-side request forgery in the /api/proxy component, which could allow an attacker to scan internal resource...

CVE-2025-60541: Server-Side Request Forgery (SSRF)

A Server-Side Request Forgery SSRF in the /api/proxy/ component of linshenkx prompt-optimizer v1.3.0 to v1.4.2 allows attackers to scan internal resources via a crafted request...

CVE-2025-60541

A Server-Side Request Forgery SSRF in the /api/proxy/ component of linshenkx prompt-optimizer v1.3.0 to v1.4.2 allows attackers to scan internal resources via a crafted request...

CVE-2025-64108

Cursor is a code editor built for programming with AI. In versions 1.7.44 and below, various NTFS path quirks allow a prompt injection attacker to circumvent sensitive file protections and overwrite files which Cursor requires human approval to overwrite. Modification of some of the protected fil...

Researchers Find ChatGPT Vulnerabilities That Let Attackers Trick AI Into Leaking Data

Cybersecurity researchers have disclosed a new set of vulnerabilities impacting OpenAI's ChatGPT artificial intelligence AI chatbot that could be exploited by an attacker to steal personal information from users' memories and chat histories without their knowledge. The seven vulnerabilities and...

CVE-2025-64110

Cursor is a code editor built for programming with AI. In versions 1.7.23 and below, a logic bug allows a malicious agent to read sensitive files that should be protected via cursorignore. An attacker who has already achieved prompt injection, or a malicious model, could create a new cursorignore...

CVE-2025-64110: Improper Access Control

Cursor is a code editor built for programming with AI. In versions 1.7.23 and below, a logic bug allows a malicious agent to read sensitive files that should be protected via cursorignore. An attacker who has already achieved prompt injection, or a malicious model, could create a new cursorignore...

CVE-2025-64110 Cursor: Authentication Bypass Possible via New Cursorignore Write

Cursor is a code editor built for programming with AI. In versions 1.7.23 and below, a logic bug allows a malicious agent to read sensitive files that should be protected via cursorignore. An attacker who has already achieved prompt injection, or a malicious model, could create a new cursorignore...

CVE-2025-64108

Cursor is a code editor built for programming with AI. In versions 1.7.44 and below, various NTFS path quirks allow a prompt injection attacker to circumvent sensitive file protections and overwrite files which Cursor requires human approval to overwrite. Modification of some of the protected fil...