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-2026-56340

A flaw was found in vLLM. This vulnerability allows a remote attacker to trigger crashes or resource exhaustion, leading to a denial of service DoS. By submitting specially crafted embedding requests with malformed tensor indices, when the prompt-embeds feature is enabled, an attacker could also...

GO-2026-5245 Mattermost: Authenticated DoS through failure to prevent rendering of external SVGs on link embeds in github.com/mattermost/mattermost-server

Mattermost: Authenticated DoS through failure to prevent rendering of external SVGs on link embeds in github.com/mattermost/mattermost-server...

PYSEC-2026-250

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

PYSEC-2026-250

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

EUVD-2026-38129

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340 vLLM - Denial of Service via Unvalidated Multimodal Embeddings

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340 vLLM - Denial of Service via Unvalidated Multimodal Embeddings

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340 vLLM - Denial of Service via Unvalidated Multimodal Embeddings

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340

vLLM versions >= 0.10.2 and

CVE-2026-56340: Improper Input Validation

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

PT-2026-51172

Name of the Vulnerable Software and Affected Versions vLLM versions 0.10.2 through 0.12.x Description Multimodal embeddings processing lacks sparse tensor validation. Since PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests containing...

PT-2026-51107

Summary With $wgEmbedVideoRequireConsent enabled the default, the urls for videos are stored in a json-ified data attributedata-mw-iframeconfig. When given a malformed url or id, the data-mw-iframeconfig attribute can be escaped via single quotes, allowing for html/javascript injection. Details T...

WordPress Fediverse Embeds plugin <= 1.5.7 - Unauthenticated SSRF vulnerability

Unauthenticated SSRF vulnerability discovered by 0xBassia in WordPress Plugin Fediverse Embeds versions = 1.5.7...

WordPress Fediverse Embeds plugin <= 1.5.7 - Unauthenticated SSRF vulnerability

Unauthenticated SSRF vulnerability discovered by 0xBassia in WordPress Plugin Fediverse Embeds versions = 1.5.7...

CVE-2026-46698

Fediverse Embeds embeds fediverse posts on WordPress sites. Prior to version 1.5.9, Fediverse Embeds registered the unauthenticated AJAX action wpajaxnoprivftfgetsiteinfo includes/SiteInfo.php that verified a nonce ftf-fediverse-embeds-nonce and then called filegethtml$siteurl on the...

CVE-2026-46697

Fediverse Embeds embeds fediverse posts on WordPress sites. Prior to version 1.5.8, Fediverse Embeds registered an unauthenticated REST route ftf/media-proxy includes/MediaProxy.php with permissioncallback = returntrue that accepted a base64-encoded URL and forwarded it to wpremoteget$url without...