216 matches found
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
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.
CVE-2026-14133: Concurrent Execution using Shared Resource with Improper Synchronization
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...
Duplicate Advisory: vLLM introduced enhanced protection for CVE-2025-62164
Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-mcmc-2m55-j8jj. This link is maintained to preserve external references. Original Description vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because...
GHSA-78FP-CF4H-G36P Duplicate Advisory: vLLM introduced enhanced protection for CVE-2025-62164
Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-mcmc-2m55-j8jj. This link is maintained to preserve external references. Original Description vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because...
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...
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
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 - 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...
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...