CVE-2026-57173: CWE-770: Allocation of Resources Without Limits or Throttling in vllm-project vllm
CVE-2026-57173 is a resource allocation vulnerability in vllm versions prior to 0.24.0 affecting the audio input handling in the /v1/chat/completions endpoint. An unauthenticated attacker can submit a small compressed audio input that decompresses into a large memory allocation, causing an out-of-memory crash of the worker process. This occurs because the audio decoder does not enforce the maximum audio decode duration limit in this code path. The issue is fixed in version 0.24.0.
AI Analysis
Technical Summary
The vulnerability arises from the input_audio handling path in vllm before version 0.24.0, where AudioMediaIO.load_bytes or AudioMediaIO.load_file functions are called without passing the VLLM_MAX_AUDIO_DECODE_DURATION_S parameter to the shared audio decoder. This omission allows an unauthenticated client to submit a compressed audio input that expands into a very large float32 PCM allocation, bypassing the duration guard used in other endpoints. Inline data URLs also bypass the audio fetch timeout, leading to potential out-of-memory crashes of the worker process. The vulnerability affects deployments serving audio-capable models and is fixed in vllm 0.24.0.
Potential Impact
An unauthenticated attacker can cause a denial-of-service condition by submitting specially crafted compressed audio inputs that consume excessive memory during decompression, leading to out-of-memory crashes of the worker process. There is no impact on confidentiality or integrity, only availability is affected.
Mitigation Recommendations
Upgrade to vllm version 0.24.0 or later, where this issue is fixed by enforcing the maximum audio decode duration limit in the affected code path. No other mitigations are indicated.
CVE-2026-57173: CWE-770: Allocation of Resources Without Limits or Throttling in vllm-project vllm
Description
CVE-2026-57173 is a resource allocation vulnerability in vllm versions prior to 0.24.0 affecting the audio input handling in the /v1/chat/completions endpoint. An unauthenticated attacker can submit a small compressed audio input that decompresses into a large memory allocation, causing an out-of-memory crash of the worker process. This occurs because the audio decoder does not enforce the maximum audio decode duration limit in this code path. The issue is fixed in version 0.24.0.
CVSS v3.1
Score 6.5medium
Affected software
vllm-project
vllm
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Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability arises from the input_audio handling path in vllm before version 0.24.0, where AudioMediaIO.load_bytes or AudioMediaIO.load_file functions are called without passing the VLLM_MAX_AUDIO_DECODE_DURATION_S parameter to the shared audio decoder. This omission allows an unauthenticated client to submit a compressed audio input that expands into a very large float32 PCM allocation, bypassing the duration guard used in other endpoints. Inline data URLs also bypass the audio fetch timeout, leading to potential out-of-memory crashes of the worker process. The vulnerability affects deployments serving audio-capable models and is fixed in vllm 0.24.0.
Potential Impact
An unauthenticated attacker can cause a denial-of-service condition by submitting specially crafted compressed audio inputs that consume excessive memory during decompression, leading to out-of-memory crashes of the worker process. There is no impact on confidentiality or integrity, only availability is affected.
Mitigation Recommendations
Upgrade to vllm version 0.24.0 or later, where this issue is fixed by enforcing the maximum audio decode duration limit in the affected code path. No other mitigations are indicated.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-06-24T01:47:55.285Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6aaac81355bf5e2cf5e13880
Added to database: 09/16/2026, 16:47:15 UTC
Last enriched: 09/16/2026, 17:01:36 UTC
Last updated: 09/16/2026, 17:01:36 UTC
Views: 3
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