vLLM 0.18.0 至 0.31.0 版本記憶體耗盡漏洞：可透過 media_io_kwargs num_frames 引數覆寫
CVE-2026-116179 - vLLM 0.18.0 before 0.31.0 Memory Exhaustion via media_io_kwargs num_frames Override
vLLM 0.18.0 以至 0.31.0 版本存在記憶體耗盡漏洞，攻擊者可透過 media_io_kwargs 中的 num_frames 引數覆寫，將其設為 -1 並載入大型影片，導致 API 前端崩潰。
此漏洞揭示 vLLM 在處理大尺寸影片時易耗盡記憶體，提醒開發者須升級至 0.31.0 以上以避免服務中斷，並建議監控 API 資源使用，以減少攻擊風險。
vLLM from 0.18.0 before 0.31.0 contains a resource exhaustion vulnerability that allows API clients to bypass the video/jpeg frame-count cap by overriding num_frames through media_io_kwargs. Attackers can set num_frames to -1 with a large inline video so VideoMediaIO.load_base64 decodes every frame, exhausting memory and crashing the API frontend.
Impact
Affected Products
The following products are affected by CVE-2026-116179
vulnerability.
Even if cvefeed.io is aware of the exact versions of the
products
that
are
affected, the information is not represented in the table below.
| ID | Vendor | Product | Action |
|---|---|---|---|
| 1 | Vllm-project | vllm | |
| 1 | Vllm | vllm |
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 3.1 | HIGH | 83251b91-4cc7-4094-a5c7-464a1b83ea10 | ||||
| CVSS 3.1 | HIGH | MITRE-CVE | ||||
| CVSS 3.1 | HIGH | [email protected] | ||||
| CVSS 4.0 | HIGH | 83251b91-4cc7-4094-a5c7-464a1b83ea10 | ||||
| CVSS 4.0 | HIGH | [email protected] |
Update vLLM to patch resource exhaustion vulnerability related to frame-counting.
- Update vLLM to version 0.31.0 or later.
- Apply vendor patches when available.
- Monitor API resource utilization.
Here, you will find a curated list of external links that provide in-depth
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CVE-2026-116179.
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2026-116179 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification
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stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2026-116179
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
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The following list is the news that have been mention
CVE-2026-116179 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2026-116179 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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New CVE Received by [email protected]
十月. 25, 2026
Action Type Old Value New Value Added Description vLLM from 0.18.0 before 0.31.0 contains a resource exhaustion vulnerability that allows API clients to bypass the video/jpeg frame-count cap by overriding num_frames through media_io_kwargs. Attackers can set num_frames to -1 with a large inline video so VideoMediaIO.load_base64 decodes every frame, exhausting memory and crashing the API frontend. Added CVSS V4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X Added CVSS V3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H Added CWE CWE-770 Added Affected New affected value received. <a href="https://github.com/CVEProject/cvelistV5/blob/main/cves/2026/116xxx/CVE-2026-116179.json">CVE-2026-116179</a> Added Reference https://github.com/vllm-project/vllm/security/advisories/GHSA-4m6g-h9mv-wqjc Added Reference https://www.vulncheck.com/advisories/vllm-0.18.0-before-0.31.0-memory-exhaustion-via-media-io-kwargs-num-frames-override
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.