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CVE-2026-57173

MEDIUM 6.5

Published 2026-09-16 · Last modified 2026-09-18

vLLM is an inference and serving engine for large language models. Prior to 0.24.0, the input_audio handling path for /v1/chat/completions calls AudioMediaIO.load_bytes or AudioMediaIO.load_file without passing VLLM_MAX_AUDIO_DECODE_DURATION_S to the shared audio decoder. An unauthenticated client can therefore submit a small compressed audio input that expands into a very large float32 PCM allocation, bypassing the duration guard already used by /v1/audio/transcriptions and causing an out-of-memory worker crash. Inline data URLs reach this path without being bounded by VLLM_AUDIO_FETCH_TIMEOUT. The issue affects deployments serving an audio-capable model, and authentication changes only the deployment-specific reachability. This issue is fixed in version 0.24.0.

NO EXPLOITATION SIGNALS

No known exploitation, public exploit, or elevated probability at this time. Track for changes.

Exploitation likelihood

0.7%chance of exploitation in 30 days · 54th percentile

○ In CISA KEV ○ Catalogued PoC

Impact if exploited

6.5CVSS 3.1 · MEDIUM

  • ConfidentialityNone
  • IntegrityNone
  • AvailabilityHigh

What an attacker needs

  • ✓Access: Reachable over the network — no local access needed
  • ⚠Privileges: Requires a low-privilege account
  • ✓User interaction: No user interaction needed
  • ✓Complexity: No special conditions — reliably repeatable

✓ lowers the bar for an attacker · ⚠ raises it

Proof of concept

No public PoC is currently catalogued.

Search for new PoCs

Search GitHub now — results may be empty or unverified.

Tracked sources are checked daily for recent CVEs, including PoCs published after the original disclosure. A later release appears after a tracked source lists it and a refresh succeeds.

Data snapshot:

Affected

Vendors Vllm Project Vllm

Products Vllm

Weakness (CWE)

  • CWE-770: : Allocation of Resources Without Limits or Throttling

CVSS vector

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References and research data (JSON)

Packages and version ranges

Each advisory describes its own package and affected ranges. A boundary applies to that range; it is not a universal upgrade recommendation.

  • vllm PyPI

    pkg:pypi/vllm

    ECOSYSTEM range
    • All earlier versions (introduced 0)
    • Fixed boundary (excluded): 0.24.0
    89 explicitly listed affected versions

    0.0.1, 0.1.0, 0.1.1, 0.1.2, 0.1.3, 0.1.4, 0.1.5, 0.1.6, 0.1.7, 0.10.0, 0.10.1, 0.10.1.1, 0.10.2, 0.11.0, 0.11.1, 0.11.2, 0.12.0, 0.13.0, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.16.0, 0.17.0, 0.17.1, 0.18.0, 0.18.1, 0.19.0, 0.19.1, 0.2.0, 0.2.1, 0.2.1.post1, 0.2.2, 0.2.3, 0.2.4, 0.2.5, 0.2.6, 0.2.7, 0.20.0, 0.20.1, 0.20.2, 0.21.0, 0.22.0, 0.22.1, 0.23.0, 0.3.0, 0.3.1, 0.3.2, 0.3.3, 0.4.0, 0.4.0.post1, 0.4.1, 0.4.2, 0.4.3, 0.5.0, 0.5.0.post1, 0.5.1, 0.5.2, 0.5.3, 0.5.3.post1, 0.5.4, 0.5.5, 0.6.0, 0.6.1, 0.6.1.post1, 0.6.1.post2, 0.6.2, 0.6.3, 0.6.3.post1, 0.6.4, 0.6.4.post1, 0.6.5, 0.6.6, 0.6.6.post1, 0.7.0, 0.7.1, 0.7.2, 0.7.3, 0.8.0, 0.8.1, 0.8.2, 0.8.3, 0.8.4, 0.8.5, 0.8.5.post1, 0.9.0, 0.9.0.1, 0.9.1, 0.9.2

    Additional upstream package constraints
    {
  "database": {
    "last_known_affected_version_range": "<= 0.23.0",
    "source": "https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2026/09/GHSA-hcwq-8wjf-3gcr/GHSA-hcwq-8wjf-3gcr.json"
  }
}
    GitHub Advisory Database · GHSA-hcwq-8wjf-3gcr · Updated 2026-10-01T17:56:17.490546142Z
  • vllm PyPI

    pkg:pypi/vllm

    ECOSYSTEM range
    • All earlier versions (introduced 0)
    • Fixed boundary (excluded): 0.24.0
    89 explicitly listed affected versions

    0.0.1, 0.1.0, 0.1.1, 0.1.2, 0.1.3, 0.1.4, 0.1.5, 0.1.6, 0.1.7, 0.10.0, 0.10.1, 0.10.1.1, 0.10.2, 0.11.0, 0.11.1, 0.11.2, 0.12.0, 0.13.0, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.16.0, 0.17.0, 0.17.1, 0.18.0, 0.18.1, 0.19.0, 0.19.1, 0.2.0, 0.2.1, 0.2.1.post1, 0.2.2, 0.2.3, 0.2.4, 0.2.5, 0.2.6, 0.2.7, 0.20.0, 0.20.1, 0.20.2, 0.21.0, 0.22.0, 0.22.1, 0.23.0, 0.3.0, 0.3.1, 0.3.2, 0.3.3, 0.4.0, 0.4.0.post1, 0.4.1, 0.4.2, 0.4.3, 0.5.0, 0.5.0.post1, 0.5.1, 0.5.2, 0.5.3, 0.5.3.post1, 0.5.4, 0.5.5, 0.6.0, 0.6.1, 0.6.1.post1, 0.6.1.post2, 0.6.2, 0.6.3, 0.6.3.post1, 0.6.4, 0.6.4.post1, 0.6.5, 0.6.6, 0.6.6.post1, 0.7.0, 0.7.1, 0.7.2, 0.7.3, 0.8.0, 0.8.1, 0.8.2, 0.8.3, 0.8.4, 0.8.5, 0.8.5.post1, 0.9.0, 0.9.0.1, 0.9.1, 0.9.2

    Additional upstream package constraints
    {
  "database": {
    "source": "https://github.com/pypa/advisory-database/blob/main/vulns/vllm/PYSEC-2026-4179.yaml"
  }
}
    PyPA · PYSEC-2026-4179 · Updated 2026-10-01T17:45:09.322181474Z

Vendor product assessments

  • rhaii/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server · known affected

    Vendor assessment for this product only.

    pkg:oci/vllm-cpu-rhel9?repository_url=registry.redhat.io/rhaii/vllm-cpu-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhaii/vllm-cuda-rhel9 as a component of Red Hat AI Inference Server · known affected

    Vendor assessment for this product only.

    pkg:oci/vllm-cuda-rhel9?repository_url=registry.redhat.io/rhaii/vllm-cuda-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhaii/vllm-gaudi-rhel9 as a component of Red Hat AI Inference Server · known affected

    Vendor assessment for this product only.

    pkg:oci/vllm-gaudi-rhel9?repository_url=registry.redhat.io/rhaii/vllm-gaudi-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhaii/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server · known affected

    Vendor assessment for this product only.

    pkg:oci/vllm-neuron-rhel9?repository_url=registry.redhat.io/rhaii/vllm-neuron-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhaii/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server · known affected

    Vendor assessment for this product only.

    pkg:oci/vllm-rocm-rhel9?repository_url=registry.redhat.io/rhaii/vllm-rocm-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhaii/vllm-spyre-rhel9 as a component of Red Hat AI Inference Server · known affected

    Vendor assessment for this product only.

    pkg:oci/vllm-spyre-rhel9?repository_url=registry.redhat.io/rhaii/vllm-spyre-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhaii/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server · known affected

    Vendor assessment for this product only.

    pkg:oci/vllm-tpu-rhel9?repository_url=registry.redhat.io/rhaii/vllm-tpu-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhaiis/vllm-cpu-rhel9 as a component of Red Hat AI Inference Server · known affected

    Vendor assessment for this product only.

    pkg:oci/vllm-cpu-rhel9?repository_url=registry.redhat.io/rhaiis/vllm-cpu-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhaiis/vllm-cuda-rhel9 as a component of Red Hat AI Inference Server · known affected

    Vendor assessment for this product only.

    pkg:oci/vllm-cuda-rhel9?repository_url=registry.redhat.io/rhaiis/vllm-cuda-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhaiis/vllm-neuron-rhel9 as a component of Red Hat AI Inference Server · known affected

    Vendor assessment for this product only.

    pkg:oci/vllm-neuron-rhel9?repository_url=registry.redhat.io/rhaiis/vllm-neuron-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhaiis/vllm-rocm-rhel9 as a component of Red Hat AI Inference Server · known affected

    Vendor assessment for this product only.

    pkg:oci/vllm-rocm-rhel9?repository_url=registry.redhat.io/rhaiis/vllm-rocm-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhaiis/vllm-spyre-rhel9 as a component of Red Hat AI Inference Server · known affected

    Vendor assessment for this product only.

    pkg:oci/vllm-spyre-rhel9?repository_url=registry.redhat.io/rhaiis/vllm-spyre-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhaiis/vllm-tpu-rhel9 as a component of Red Hat AI Inference Server · known affected

    Vendor assessment for this product only.

    pkg:oci/vllm-tpu-rhel9?repository_url=registry.redhat.io/rhaiis/vllm-tpu-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhelai3/bootc-aws-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3 · known affected

    Vendor assessment for this product only.

    pkg:oci/bootc-aws-cuda-rhel9?repository_url=registry.redhat.io/rhelai3/bootc-aws-cuda-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhelai3/bootc-azure-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3 · known affected

    Vendor assessment for this product only.

    pkg:oci/bootc-azure-cuda-rhel9?repository_url=registry.redhat.io/rhelai3/bootc-azure-cuda-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhelai3/bootc-azure-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3 · known affected

    Vendor assessment for this product only.

    pkg:oci/bootc-azure-rocm-rhel9?repository_url=registry.redhat.io/rhelai3/bootc-azure-rocm-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhelai3/bootc-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3 · known affected

    Vendor assessment for this product only.

    pkg:oci/bootc-cuda-rhel9?repository_url=registry.redhat.io/rhelai3/bootc-cuda-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhelai3/bootc-gaudi-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3 · known affected

    Vendor assessment for this product only.

    pkg:oci/bootc-gaudi-rhel9?repository_url=registry.redhat.io/rhelai3/bootc-gaudi-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhelai3/bootc-gcp-cuda-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3 · known affected

    Vendor assessment for this product only.

    pkg:oci/bootc-gcp-cuda-rhel9?repository_url=registry.redhat.io/rhelai3/bootc-gcp-cuda-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhelai3/bootc-rocm-rhel9 as a component of Red Hat Enterprise Linux AI (RHEL AI) 3 · known affected

    Vendor assessment for this product only.

    pkg:oci/bootc-rocm-rhel9?repository_url=registry.redhat.io/rhelai3/bootc-rocm-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhoai/odh-kserve-agent-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · known affected

    Vendor assessment for this product only.

    pkg:oci/odh-kserve-agent-rhel9?repository_url=registry.redhat.io/rhoai/odh-kserve-agent-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhoai/odh-kserve-controller-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · known affected

    Vendor assessment for this product only.

    pkg:oci/odh-kserve-controller-rhel9?repository_url=registry.redhat.io/rhoai/odh-kserve-controller-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhoai/odh-kserve-router-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · known affected

    Vendor assessment for this product only.

    pkg:oci/odh-kserve-router-rhel9?repository_url=registry.redhat.io/rhoai/odh-kserve-router-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhoai/odh-kserve-storage-initializer-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · known affected

    Vendor assessment for this product only.

    pkg:oci/odh-kserve-storage-initializer-rhel9?repository_url=registry.redhat.io/rhoai/odh-kserve-storage-initializer-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhoai/odh-llm-d-kv-cache-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · known affected

    Vendor assessment for this product only.

    pkg:oci/odh-llm-d-kv-cache-rhel9?repository_url=registry.redhat.io/rhoai/odh-llm-d-kv-cache-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhoai/odh-th-torch-cuda-py312-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · known affected

    Vendor assessment for this product only.

    pkg:oci/odh-th-torch-cuda-py312-rhel9?repository_url=registry.redhat.io/rhoai/odh-th-torch-cuda-py312-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00
  • rhoai/odh-vllm-gaudi-rhel9 as a component of Red Hat OpenShift AI (RHOAI) · known affected

    Vendor assessment for this product only.

    pkg:oci/odh-vllm-gaudi-rhel9?repository_url=registry.redhat.io/rhoai/odh-vllm-gaudi-rhel9

    • workaround: To mitigate this issue, restrict network access to the vLLM service to trusted clients only. Alternatively, if audio processing is not required, avoid deploying audio-capable models to eliminate the vulnerable attack surface. If the service is exposed, ensure proper network segmentation and firewall rules are in place to limit reachability.
    • none available: Fix deferred
    Red Hat · CVE-2026-57173 · Updated 2026-09-24T12:47:30+00:00

Known Affected Software Configurations

VendorProductVersion range
VllmVllm< 0.24.0

All CVSS metrics

  • MEDIUM 6.5 v3.1 · CNA Primary
    CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
  • MEDIUM 6.5 v3.1 · NVD Secondary
    CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

References

Patches & mitigations

Advisories

Technical & other

Sources: NVD · CVE.org · EPSS