145 lines
6.2 KiB
JSON
145 lines
6.2 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-2026-53923",
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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": "2026-06-11T15:46:12.316Z",
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"datePublished": "2026-06-22T21:55:42.001Z",
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"dateUpdated": "2026-06-23T15:05:21.711Z"
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},
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"containers": {
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"cna": {
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"title": "vLLM GGUF Kernels: int64_t to int truncation of tensor dimensions causes GPU buffer overflow",
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"problemTypes": [
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{
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"descriptions": [
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{
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"cweId": "CWE-681",
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"lang": "en",
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"description": "CWE-681: Incorrect Conversion between Numeric Types",
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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-200",
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"lang": "en",
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"description": "CWE-200: Exposure of Sensitive Information to an Unauthorized Actor",
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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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"cvssV4_0": {
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"attackVector": "NETWORK",
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"attackComplexity": "LOW",
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"attackRequirements": "NONE",
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"privilegesRequired": "NONE",
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"userInteraction": "PASSIVE",
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"vulnConfidentialityImpact": "LOW",
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"vulnIntegrityImpact": "LOW",
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"vulnAvailabilityImpact": "NONE",
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"subConfidentialityImpact": "NONE",
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"subIntegrityImpact": "NONE",
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"subAvailabilityImpact": "NONE",
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"baseScore": 5.3,
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"baseSeverity": "MEDIUM",
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"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N",
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"version": "4.0"
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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-5jv2-g5wq-cmr4",
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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-5jv2-g5wq-cmr4"
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},
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{
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"name": "https://github.com/vllm-project/vllm/pull/44971",
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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/44971"
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},
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{
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"name": "https://github.com/vllm-project/vllm/commit/f219788f91952827132fa4fdf916427cd20d225e",
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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/f219788f91952827132fa4fdf916427cd20d225e"
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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, < 0.23.1rc0",
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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": "2026-06-22T21:55:42.001Z"
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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 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0."
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}
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],
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"source": {
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"advisory": "GHSA-5jv2-g5wq-cmr4",
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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": "2026-06-23T15:04:15.555317Z",
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"id": "CVE-2026-53923",
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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": "2026-06-23T15:05:21.711Z"
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}
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}
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]
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}
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} |