139 lines
5.7 KiB
JSON
139 lines
5.7 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-2026-34760",
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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": "2026-03-30T19:17:10.225Z",
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"datePublished": "2026-04-02T18:59:49.638Z",
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"dateUpdated": "2026-04-03T14:42:34.842Z"
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},
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"containers": {
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"cna": {
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"title": "vLLM: Downmix Implementation Differences as Attack Vectors Against Audio AI Models",
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"problemTypes": [
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{
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"descriptions": [
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{
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"cweId": "CWE-20",
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"lang": "en",
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"description": "CWE-20: Improper Input Validation",
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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": "HIGH",
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"attackVector": "NETWORK",
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"availabilityImpact": "LOW",
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"baseScore": 5.9,
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"baseSeverity": "MEDIUM",
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"confidentialityImpact": "NONE",
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"integrityImpact": "HIGH",
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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:H/PR:L/UI:N/S:U/C:N/I:H/A:L",
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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-6c4r-fmh3-7rh8",
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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-6c4r-fmh3-7rh8"
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},
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{
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"name": "https://github.com/vllm-project/vllm/pull/37058",
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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/37058"
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},
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{
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"name": "https://github.com/vllm-project/vllm/commit/c7f98b4d0a63b32ed939e2b6dfaa8a626e9b46c4",
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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/c7f98b4d0a63b32ed939e2b6dfaa8a626e9b46c4"
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},
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{
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"name": "https://github.com/vllm-project/vllm/releases/tag/v0.18.0",
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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/releases/tag/v0.18.0"
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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": ">= 0.5.5, < 0.18.0",
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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": "2026-04-02T18:59:49.638Z"
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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 (LLMs). From version 0.5.5 to before version 0.18.0, Librosa defaults to using numpy.mean for mono downmixing (to_mono), while the international standard ITU-R BS.775-4 specifies a weighted downmixing algorithm. This discrepancy results in inconsistency between audio heard by humans (e.g., through headphones/regular speakers) and audio processed by AI models (Which infra via Librosa, such as vllm, transformer). This issue has been patched in version 0.18.0."
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}
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],
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"source": {
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"advisory": "GHSA-6c4r-fmh3-7rh8",
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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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"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": "2026-04-03T14:42:25.211772Z",
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"id": "CVE-2026-34760",
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"options": [
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{
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"Exploitation": "none"
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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": "2026-04-03T14:42:34.842Z"
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}
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}
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]
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}
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} |