Threats Tagged 'cve-2026-73557'
View all threats tagged with 'cve-2026-73557'. Filter and sort to focus on specific types of threats.
Stop chasing alerts. Route them.
Start free, then upgrade once to turn Radar into an automated delivery engine for your security stack.
Custom feeds / Automations: email, Slack, webhooks, SIEM/MISP / API access (baseline limits)
API access activates after upgrading in Console -> Billing.
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.
Filter Threats
Narrow down the results by type, severity, or affected countries
Threats Tagged 'cve-2026-73557'
Click on any threat for detailed analysis and mitigation recommendations
CVE-2026-73557 is a race condition vulnerability in the vllm-project's vllm software affecting versions from 0.20.2rc0 up to but not including 0.26.0. It arises from improper synchronization of a process-global sparse tensor invariant guard in PyTorch 2.11.0 during concurrent prompt-embedding reconstruction within a single chat completion request. This can lead to invalid sparse tensor deserialization and subsequent unsafe dense tensor conversion. The vulnerability requires the --enable-prompt-embeds feature (default off) but does not require multiple workers or multimodal embeddings. The flaw allows a malicious payload to bypass the follow-up guard, potentially causing memory corruption or denial of service as documented in the related CVE-2025-62164. The CVSS 4.0 base score is 6.3 (medium severity). Join the discussion | CVE Database V5 | 09/04/2026, 21:39:02 UTC Added: 08/13/2026, 15:12:13 UTC |
Showing 1 to 1 of 1 result