SUSE CVE-2026-14133

Race in History Embeddings in Google Chrome prior to 150.0.7871.47 allowed a remote attacker to perform UI spoofing via a crafted HTML page. Chromium security severity: Low...

Reachable Assertion

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Reachable Assertion via the /v1/completions endpoint when processing pure prompt embeds with M-RoPE models. An attacker can cause the server to cras...

Chromium: CVE-2026-14133 Race in History Embeddings

This CVE was assigned by Chrome. Microsoft Edge Chromium-based ingests Chromium, which addresses this vulnerability. Please see Google Chrome Releases for more information...

EUVD-2026-40820

Race in History Embeddings in Google Chrome prior to 150.0.7871.47 allowed a remote attacker to perform UI spoofing via a crafted HTML page. Chromium security severity: Low...

CVE-2026-14133

Race in History Embeddings in Google Chrome prior to 150.0.7871.47 allowed a remote attacker to perform UI spoofing via a crafted HTML page. Chromium security severity: Low...

DEBIAN-CVE-2026-14133

Race in History Embeddings in Google Chrome prior to 150.0.7871.47 allowed a remote attacker to perform UI spoofing via a crafted HTML page. Chromium security severity: Low...

CVE-2026-14133

Race in History Embeddings in Google Chrome prior to 150.0.7871.47 allowed a remote attacker to perform UI spoofing via a crafted HTML page. Chromium security severity: Low...

CVE-2026-14133

Race in History Embeddings in Google Chrome prior to 150.0.7871.47 allowed a remote attacker to perform UI spoofing via a crafted HTML page. Chromium security severity: Low...

CVE-2026-14133

Race in History Embeddings in Google Chrome prior to 150.0.7871.47 allowed a remote attacker to perform UI spoofing via a crafted HTML page. Chromium security severity: Low...

CVE-2026-14133

Technical details are not publicly available in the provided documents. Monitor for updates.

PT-2026-54408

Name of the Vulnerable Software and Affected Versions Google Chrome versions prior to 150.0.7871.47 Description A race condition in History Embeddings allows a remote attacker to perform UI spoofing by using a crafted HTML page. Recommendations Update Google Chrome to version 150.0.7871.47 or lat...

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...

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 - 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 - 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

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...

Semantic Multi-Agent Intrusion Detection for IoT:Zero-Day and Adversarial Threats with Risk-Aware Reasoning

The rapid proliferation of Internet of Things IoT devices has enabled unprecedented automation and connectivity, but it has also substantially increased the attack surface, exposing networks to sophisticated cyber threats, including zero-day and adversarial intrusions. Traditional Intrusion...