Skip to main content

Threats Tagged 'ghsa-78fp-cf4h-g36p'

View all threats tagged with 'ghsa-78fp-cf4h-g36p'. Filter and sort to focus on specific types of threats.

Pro Console Lifetime

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)

View Plans & Pricing

API access activates after upgrading in Console -> Billing.

Breach by OffSeqOFFSEQFRIENDS — 25% OFF

Check if your credentials are on the dark web

Instant breach scanning across billions of leaked records. Free tier available.

Scan now

Filter Threats

Narrow down the results by type, severity, or affected countries

Search threats by title, CVE ID, or description. Maximum 100 characters.
Active filters (1):Tag: ghsa-78fp-cf4h-g36p

Threats Tagged 'ghsa-78fp-cf4h-g36p'

Click on any threat for detailed analysis and mitigation recommendations

### Duplicate Advisory This advisory has been withdrawn because it is a duplicate of GHSA-mcmc-2m55-j8jj.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 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 prompt-embeds feature is enabled, to trigger crashes or resource exhaustion (denial of service), with potential for out-of-bounds/write-what-where memory corruption. This continues CVE-2025-62164, whose prior fix only disabled the feature by default rather than addressing the root cause.

Join the discussion

Showing 1 to 1 of 1 result

Filters:Tag: ghsa-78fp-cf4h-g36p
Page 1 of 1
OffSeq TrainingCredly Certified

Lead Pen Test Professional

Technical5-day eLearningPECB Accredited
View courses