177 lines
6.7 KiB
JSON
177 lines
6.7 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-2024-37052",
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"assignerOrgId": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
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"state": "PUBLISHED",
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"assignerShortName": "HiddenLayer",
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"dateReserved": "2024-05-31T14:16:48.806Z",
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"datePublished": "2024-06-04T11:59:35.035Z",
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"dateUpdated": "2024-08-02T03:43:50.871Z"
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},
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"containers": {
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"cna": {
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"affected": [
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{
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"defaultStatus": "unaffected",
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"packageName": "mlflow",
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"product": "MLflow",
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"repo": "https://github.com/mlflow/mlflow",
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"vendor": "MLflow",
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"versions": [
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{
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"lessThanOrEqual": "*",
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"status": "affected",
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"version": "1.1.0",
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"versionType": "semver"
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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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"lang": "en",
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"supportingMedia": [
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{
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"base64": false,
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"type": "text/html",
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"value": "<span style=\"background-color: rgb(255, 255, 255);\">Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.</span><br>"
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}
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],
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"value": "Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with."
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}
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],
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"impacts": [
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{
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"capecId": "CAPEC-586",
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"descriptions": [
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{
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"lang": "en",
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"value": "CAPEC-586 Object Injection"
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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": "NONE",
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"scope": "UNCHANGED",
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"userInteraction": "REQUIRED",
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"vectorString": "CVSS:3.1/AV:N/AC:L/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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"format": "CVSS",
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"scenarios": [
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{
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"lang": "en",
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"value": "GENERAL"
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}
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]
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}
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],
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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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"description": "CWE-502 Deserialization of Untrusted Data",
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"lang": "en",
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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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"providerMetadata": {
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"orgId": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
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"shortName": "HiddenLayer",
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"dateUpdated": "2024-06-04T11:59:35.035Z"
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},
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"references": [
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{
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"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
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}
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],
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"source": {
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"discovery": "UNKNOWN"
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},
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"x_generator": {
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"engine": "Vulnogram 0.2.0"
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}
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},
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"adp": [
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{
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"affected": [
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{
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"vendor": "lfprojects",
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"product": "mlflow",
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"cpes": [
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"cpe:2.3:a:lfprojects:mlflow:1.1.0:*:*:*:*:*:*:*"
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],
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"defaultStatus": "unknown",
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"versions": [
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{
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"version": "1.1.0",
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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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"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": "2024-06-04T13:42:32.369392Z",
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"id": "CVE-2024-37052",
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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": "2024-07-24T17:15:20.423Z"
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}
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},
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{
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"providerMetadata": {
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"orgId": "af854a3a-2127-422b-91ae-364da2661108",
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"shortName": "CVE",
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"dateUpdated": "2024-08-02T03:43:50.871Z"
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},
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"title": "CVE Program Container",
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"references": [
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{
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"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024",
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"tags": [
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"x_transferred"
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]
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}
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]
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}
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]
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}
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} |