157 lines
6.8 KiB
JSON
157 lines
6.8 KiB
JSON
{
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"dataType": "CVE_RECORD",
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"dataVersion": "5.2",
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"cveMetadata": {
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"cveId": "CVE-2026-69147",
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"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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"state": "PUBLISHED",
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"assignerShortName": "GitHub_M",
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"dateReserved": "2026-08-03T15:20:30.218Z",
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"datePublished": "2026-09-16T17:49:20.427Z",
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"dateUpdated": "2026-09-16T18:37:14.118Z"
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},
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"containers": {
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"cna": {
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"title": "vLLM: Request-selected PyNvVideoCodec GPU decode bypasses static VRAM reservation",
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"problemTypes": [
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{
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"descriptions": [
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{
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"cweId": "CWE-400",
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"lang": "en",
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"description": "CWE-400: Uncontrolled Resource Consumption",
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"type": "CWE"
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}
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]
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},
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{
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"descriptions": [
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{
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"cweId": "CWE-770",
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"lang": "en",
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"description": "CWE-770: Allocation of Resources Without Limits or Throttling",
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"type": "CWE"
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}
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]
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}
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],
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"metrics": [
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{
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"cvssV3_1": {
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"attackComplexity": "LOW",
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"attackVector": "NETWORK",
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"availabilityImpact": "HIGH",
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"baseScore": 6.5,
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"baseSeverity": "MEDIUM",
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"confidentialityImpact": "NONE",
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"integrityImpact": "NONE",
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"privilegesRequired": "LOW",
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"scope": "UNCHANGED",
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"userInteraction": "NONE",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
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"version": "3.1"
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}
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}
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],
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"references": [
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{
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"name": "https://github.com/vllm-project/vllm/security/advisories/GHSA-8pw2-6jv3-mj5j",
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"tags": [
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"x_refsource_CONFIRM"
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],
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"url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-8pw2-6jv3-mj5j"
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},
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{
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"name": "https://github.com/vllm-project/vllm/pull/47259",
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"tags": [
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"x_refsource_MISC"
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],
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"url": "https://github.com/vllm-project/vllm/pull/47259"
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},
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{
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"name": "https://github.com/vllm-project/vllm/commit/283893c72292ede38d277e3cd2b9b64c3e4f1dda",
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"tags": [
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"x_refsource_MISC"
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],
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"url": "https://github.com/vllm-project/vllm/commit/283893c72292ede38d277e3cd2b9b64c3e4f1dda"
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},
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{
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"name": "https://github.com/vllm-project/vllm/commit/ba22152096b2484faa3579624a253d54804d876d",
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"tags": [
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"x_refsource_MISC"
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],
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"url": "https://github.com/vllm-project/vllm/commit/ba22152096b2484faa3579624a253d54804d876d"
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}
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],
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"affected": [
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{
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"vendor": "vllm-project",
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"product": "vllm",
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"versions": [
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{
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"version": "< 0.28.0",
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"status": "affected"
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}
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]
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}
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],
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"providerMetadata": {
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"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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"shortName": "GitHub_M",
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"dateUpdated": "2026-09-16T17:49:20.427Z"
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},
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"descriptions": [
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{
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"lang": "en",
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"value": "vLLM is an inference and serving engine for large language models. Prior to 0.28.0, request bodies for Chat Completions and Responses can set media_io_kwargs.video.video_backend to pynvvideocodec, and MediaConnector.fetch_video forwards that choice to VideoMediaIO even when startup configuration selected a software decoder. The engine's _reserve_mm_ipc_gpu_memory logic budgets decoder memory only from static configuration, so the request-selected VIDEO_LOADER_REGISTRY backend can create a CUDA context, decoder surfaces, and decoded-frame allocations that were not removed from the engine's KV-cache budget. An attacker able to submit video requests to a video-capable GPU deployment with PyNvVideoCodec installed can exhaust shared GPU memory, causing request failures, worker crashes, or denial of service. The first release containing the fix is version 0.28.0."
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}
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],
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"source": {
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"advisory": "GHSA-8pw2-6jv3-mj5j",
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"discovery": "UNKNOWN"
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}
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},
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"adp": [
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{
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"references": [
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{
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"url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-8pw2-6jv3-mj5j",
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"tags": [
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"exploit"
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]
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}
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],
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"metrics": [
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{
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"other": {
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"type": "ssvc",
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"content": {
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"timestamp": "2026-09-16T18:37:08.090589Z",
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"id": "CVE-2026-69147",
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"options": [
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{
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"Exploitation": "poc"
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},
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{
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"Automatable": "no"
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},
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{
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"Technical Impact": "partial"
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}
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],
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"role": "CISA Coordinator",
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"version": "2.0.3"
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}
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}
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}
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],
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"title": "CISA ADP Vulnrichment",
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"providerMetadata": {
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"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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"shortName": "CISA-ADP",
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"dateUpdated": "2026-09-16T18:37:14.118Z"
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}
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}
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]
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}
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} |