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Highest advisory severityMedium 1 vendor · 1 advisory

CVE-2026-73558

CVE-2026-73558: 1 tracked advisory record across Red Hat. Compare vendor sources and published fix guidance.

Compare the source-linked records below. Ratings and product/version details belong to each advisory; they are not a single CVE-wide score or proof that every listed product is affected. How VulniPulse collects and checks evidence.

Vendor advisory comparison

Red Hat

1 advisory
  • Advisory severityMedium5.3

    Medium [CVE-2026-73558] Cross-User Data Leakage via Integer Overflow

    CVE-2026-73558Source published Source updated

    vLLM is an inference and serving engine for large language models. Prior to 0.27.0, an integer overflow in blockIdx.x * 2 * d in activation_kernels.cu can cause act_and_mul_kernel to consume another batched user's input, allowing a request processed in the same inference batch to receive a partial or complete copy of another user's inference result. This issue is fixed in version 0.27.0. An integer overflow vulnerability in the `act_and_mul_kernel` kernel allows a remote attacker to cause cross-user data leakage. This could lead to the unauthorized disclosure of sensitive information. This is particularly relevant in multi-tenant environments where vLLM processes requests concurrently from different users. Red Hat severity: Moderate — CVSS 5.3…

    Affected products in this advisory
    • Red Hat AI Inference Server
    • Red Hat Enterprise Linux AI (RHEL AI) 3
    • Red Hat OpenShift AI (RHOAI)
    Source-reported affected versions
    • < 0.27.0
    Source-reported fixed versions
    • 0.27.0
    Mitigation guidance
    No mitigation guidance extracted; consult the source.

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