CVE-2026-73557Disclosure

LOWCVSS 6.3 · MEDIUM

Signal is active with 1 mentions in latest observed window

Immediate actions

  • Track advisory updates for patch or workaround availability

Recommended action window: Monitor and triage in normal cycle

NVD description

vLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safe_load_prompt_embeds in vllm/renderers/embed_utils.py uses torch.sparse.check_sparse_tensor_invariants, whose process-global save, enable, and restore state can be raced by concurrent prompt_embeds parts submitted to POST /v1/chat/completions through AsyncMultiModalItemTracker.resolve_items, asyncio.gather, and the default executor, allowing an invalid sparse tensor to reach tensor.to_dense despite the CVE-2025-62164 guard when enable_prompt_embeds is enabled. This issue is fixed in version 0.26.0.

0.0/ 10 priority

Sources & remediation

Weakness type (CWE)
CWE-362

Priority

LOW

Exploitation

NONE

PoC

NONE

Patch

NONE

Momentum

STABLE

Threat summary

  • 3 mentions across 2 observed days
  • Momentum state: stable

What's happening

  • Technical details provided in 1 signal
  • Disclosure: 2 classified signals
  • General: 1 classified signal
  • Peaked 1d ago at 2 mentions (2026-08-13); latest day: 1
  • 3 total mentions across 2 days

Deep dive

Activity timeline3 mentions / 2d
01122Mentions · 2026-08-13: 2Mentions · 2026-09-06: 1Technical Details · 2026-08-13: 108-1309-06
Signal classification2 categories
Disclosure
266.7%
General
133.3%
Referenced assets2 URLs
By indicator
Classification over time
DateTotalLabels
2026-08-132
Disclosure1General1
2026-09-061
Disclosure1
Full discourse3 posts
  • عيسى الصفحي@eissasafhi1408
    Disclosure

    ثغرة ⚠️ SECURITY ALERT ──────────────────── 🚨 CVE-2026-73557 🔴 الخطورة متوسطة MEDIUM | 5.5/10 🟨🟨🟨 ✅ حالة الاستغلال غير مستغلة - CISA 📈 احتمالية الاستغلال 0.3% - EPSS 📦 المنتج vllm 📄 التحليل ❝ vLLM: يمكن تجاوز المعالجة غير المكتملة CVE-2025-62164

    Post summary

    A short security alert announcing CVE-2026-73557 for the vllm product, indicating medium severity, no current exploitation, and providing no PoC, exploit, or patch details.

    10000110
    232 followersView on X
  • Infoflowcloud@infoflowcloud
    General

    🚨*CVE* CVE-2026-73557 vLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safe_load_prompt_embeds in vllm/renderers/embed_utils.py uses torch.sp… https://www.cve.org/CVERecord?id=CVE-2026-73557 ----- Traducción: CVE-2026-73557 vLL… https://infoflow.cloud`

    Post summary

    The tweet simply references a CVE record and a brief code location, with no evidence of PoC, exploit, active attacks, patch, or technical details.

    0000024
    97 followersView on X
  • CVE@CVEnew
    Disclosure

    CVE-2026-73557 vLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safe_load_prompt_embeds in vllm/renderers/embed_utils.py uses torch.sp… https://www.cve.org/CVERecord?id=CVE-2026-73557

    Post summary

    The post references CVE-2026-73557, indicating that vLLM versions 0.20.2rc0 to 0.26.0 contain a vulnerable safe_load_prompt_embeds function that uses torch.sp. No exploitation code, patch, or active attack claims are provided.

    00000792
    57.9K followersView on X

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