162 lines
6.7 KiB
JSON
162 lines
6.7 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-2025-62164",
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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": "2025-10-07T16:12:03.425Z",
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"datePublished": "2025-11-21T01:18:38.803Z",
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"dateUpdated": "2025-11-24T18:12:44.195Z"
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},
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"containers": {
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"cna": {
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"title": "VLLM deserialization vulnerability leading to DoS and potential RCE",
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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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"descriptions": [
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{
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"cweId": "CWE-123",
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"lang": "en",
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"description": "CWE-123: Write-what-where Condition",
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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-502",
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"lang": "en",
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"description": "CWE-502: Deserialization of Untrusted Data",
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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-787",
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"lang": "en",
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"description": "CWE-787: Out-of-bounds Write",
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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": 8.8,
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"baseSeverity": "HIGH",
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"confidentialityImpact": "HIGH",
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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:L/PR:L/UI:N/S:U/C:H/I:H/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-mrw7-hf4f-83pf",
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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-mrw7-hf4f-83pf"
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},
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{
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"name": "https://github.com/vllm-project/vllm/pull/27204",
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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/27204"
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},
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{
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"name": "https://github.com/vllm-project/vllm/commit/58fab50d82838d5014f4a14d991fdb9352c9c84b",
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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/58fab50d82838d5014f4a14d991fdb9352c9c84b"
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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": ">= 0.10.2, < 0.11.1",
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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": "2025-11-21T01:18:38.803Z"
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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 versions 0.10.2 to before 0.11.1, a memory corruption vulnerability could lead to a crash (denial-of-service) and potentially remote code execution (RCE), exists in the Completions API endpoint. When processing user-supplied prompt embeddings, the endpoint loads serialized tensors using torch.load() without sufficient validation. Due to a change introduced in PyTorch 2.8.0, sparse tensor integrity checks are disabled by default. As a result, maliciously crafted tensors can bypass internal bounds checks and trigger an out-of-bounds memory write during the call to to_dense(). This memory corruption can crash vLLM and potentially lead to code execution on the server hosting vLLM. This issue has been patched in version 0.11.1."
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}
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],
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"source": {
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"advisory": "GHSA-mrw7-hf4f-83pf",
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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": "2025-11-24T17:15:13.097938Z",
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"id": "CVE-2025-62164",
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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": "total"
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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": "2025-11-24T18:12:44.195Z"
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}
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}
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]
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}
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} |