139 lines
5.6 KiB
JSON
139 lines
5.6 KiB
JSON
{
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"dataType": "CVE_RECORD",
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"dataVersion": "5.1",
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"cveMetadata": {
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"cveId": "CVE-2025-24357",
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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": "2025-01-20T15:18:26.988Z",
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"datePublished": "2025-01-27T17:38:20.070Z",
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"dateUpdated": "2025-02-12T20:41:36.324Z"
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},
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"containers": {
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"cna": {
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"title": "vLLM allows a malicious model RCE by torch.load in hf_model_weights_iterator",
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"problemTypes": [
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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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"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": "HIGH",
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"baseScore": 7.5,
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"baseSeverity": "HIGH",
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"confidentialityImpact": "HIGH",
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"integrityImpact": "HIGH",
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"privilegesRequired": "NONE",
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"scope": "UNCHANGED",
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"userInteraction": "REQUIRED",
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"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/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-rh4j-5rhw-hr54",
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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-rh4j-5rhw-hr54"
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},
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{
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"name": "https://github.com/vllm-project/vllm/pull/12366",
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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/12366"
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},
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{
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"name": "https://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04",
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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/d3d6bb13fb62da3234addf6574922a4ec0513d04"
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},
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{
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"name": "https://pytorch.org/docs/stable/generated/torch.load.html",
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"tags": [
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"x_refsource_MISC"
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],
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"url": "https://pytorch.org/docs/stable/generated/torch.load.html"
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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": "< 0.7.0",
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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": "2025-01-27T17:38:20.070Z"
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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 a library for LLM inference and serving. vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weights_only parameter defaults to False. When torch.load loads malicious pickle data, it will execute arbitrary code during unpickling. This vulnerability is fixed in v0.7.0."
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}
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],
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"source": {
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"advisory": "GHSA-rh4j-5rhw-hr54",
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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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"id": "CVE-2025-24357",
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"role": "CISA Coordinator",
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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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"version": "2.0.3",
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"timestamp": "2025-01-27T18:20:10.107207Z"
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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": "2025-02-12T20:41:36.324Z"
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}
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}
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]
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}
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} |