CVE-2026-14898

The OpenAI Codex desktop app for macOS rendered remote images from Markdown in model responses. An attacker who could place an indirect prompt injection in content processed by Codex, such as a connected-tool result or another untrusted source, could induce the model to construct a remote image U...

CVE-2026-55514

vLLM is a library for LLM inference and serving. From 0.12.0 to before 0.24.0, sending a pure prompt embeds payload in a /v1/completions request with a model using M-RoPE causes EngineCore to fail an assertion and fatally crash, shutting down the entire server application. Any remote user who is...

CVE-2026-55514 vLLM denial of service via prompt embeds on M-RoPE models

vLLM is a library for LLM inference and serving. From 0.12.0 to before 0.24.0, sending a pure prompt embeds payload in a /v1/completions request with a model using M-RoPE causes EngineCore to fail an assertion and fatally crash, shutting down the entire server application. Any remote user who is...

CVE-2026-55514

CVE-2026-55514 affects the vLLM library (inference/serving) from versions 0.12.0 through older than 0.24.0. Sending a pure prompt embeds payload in a /v1/completions request for a model using M-RoPE triggers an EngineCore assertion, causing a fatal crash that shuts down the entire server applicat...

CVE-2026-55514 vLLM denial of service via prompt embeds on M-RoPE models

vLLM is a library for LLM inference and serving. From 0.12.0 to before 0.24.0, sending a pure prompt embeds payload in a /v1/completions request with a model using M-RoPE causes EngineCore to fail an assertion and fatally crash, shutting down the entire server application. Any remote user who is...

CVE-2026-55514 vLLM denial of service via prompt embeds on M-RoPE models

vLLM is a library for LLM inference and serving. From 0.12.0 to before 0.24.0, sending a pure prompt embeds payload in a /v1/completions request with a model using M-RoPE causes EngineCore to fail an assertion and fatally crash, shutting down the entire server application. Any remote user who is...

CVE-2026-14898

The OpenAI Codex desktop app for macOS rendered remote images from Markdown in model responses. An attacker who could place an indirect prompt injection in content processed by Codex, such as a connected-tool result or another untrusted source, could induce the model to construct a remote image U...

CVE-2026-14898

The CVE affects the OpenAI Codex desktop app for macOS, where rendering remote images from Markdown in model responses can exfiltrate data. An indirect prompt injection in content (e.g., from connected tools or untrusted sources) could cause the model to construct a remote image URL containing se...

CVE-2026-14898

The OpenAI Codex desktop app for macOS rendered remote images from Markdown in model responses. An attacker who could place an indirect prompt injection in content processed by Codex, such as a connected-tool result or another untrusted source, could induce the model to construct a remote image U...

EUVD-2026-41915

The OpenAI Codex desktop app for macOS rendered remote images from Markdown in model responses. An attacker who could place an indirect prompt injection in content processed by Codex, such as a connected-tool result or another untrusted source, could induce the model to construct a remote image U...

PT-2026-56085

Name of the Vulnerable Software and Affected Versions Langroid versions prior to 0.65.5 Description Neo4jChatAgent passes LLM-generated Cypher queries directly to the Neo4j driver without validation, a statement-type allowlist, or an opt-out gate. Because the query text can be influenced by promp...

PT-2026-55971

Name of the Vulnerable Software and Affected Versions OpenAI Codex for macOS affected versions not specified Description The desktop application renders remote images from Markdown within model responses. An attacker can use indirect prompt injection—a technique where malicious instructions are...

CVE-2026-13341

A vulnerability exists in the Kong Konnect Model Context Protocol MCP server prior to version 1.0.0, which could allow a remote attacker to perform an indirect prompt injection attack and execute unintended API requests...

CVE-2026-13341 Prompt Injection and Credential Exposure via Untrusted Analytics Data in Kong Konnect MCP

A vulnerability exists in the Kong Konnect Model Context Protocol MCP server prior to version 1.0.0, which could allow a remote attacker to perform an indirect prompt injection attack and execute unintended API requests...

CVE-2026-13341

Kong Konnect MCP server (before 1.0.0) is affected. A remote attacker could perform an indirect prompt injection and cause unintended API requests due to the MCP component. Impact aligns with high-severity potential exposure (CVSS 7.4); exploit details are not provided in the sources. Remediation...

EUVD-2026-41530

A vulnerability exists in the Kong Konnect Model Context Protocol MCP server prior to version 1.0.0, which could allow a remote attacker to perform an indirect prompt injection attack and execute unintended API requests...

CVE-2026-13341 Prompt Injection and Credential Exposure via Untrusted Analytics Data in Kong Konnect MCP

A vulnerability exists in the Kong Konnect Model Context Protocol MCP server prior to version 1.0.0, which could allow a remote attacker to perform an indirect prompt injection attack and execute unintended API requests...

CVE-2026-13341 Prompt Injection and Credential Exposure via Untrusted Analytics Data in Kong Konnect MCP

A vulnerability exists in the Kong Konnect Model Context Protocol MCP server prior to version 1.0.0, which could allow a remote attacker to perform an indirect prompt injection attack and execute unintended API requests...

CVE-2026-13341

A vulnerability exists in the Kong Konnect Model Context Protocol MCP server prior to version 1.0.0, which could allow a remote attacker to perform an indirect prompt injection attack and execute unintended API requests...

PT-2026-55525

Name of the Vulnerable Software and Affected Versions Kong Konnect MCP server versions prior to 1.0.0 Description An issue exists where the server fails to properly validate content returned to the Large Language Model LLM. This allows a remote attacker to perform an indirect prompt injection by...