232 lines
10 KiB
JSON
232 lines
10 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-2025-14287",
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"assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
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"state": "PUBLISHED",
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"assignerShortName": "@huntr_ai",
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"dateReserved": "2025-12-08T19:06:12.739Z",
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"datePublished": "2026-03-15T09:27:36.706Z",
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"dateUpdated": "2026-07-15T01:27:17.882Z"
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},
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"containers": {
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"cna": {
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"title": "Command Injection in mlflow/mlflow",
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"providerMetadata": {
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"orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
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"shortName": "@huntr_ai",
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"dateUpdated": "2026-03-15T09:27:36.706Z"
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},
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"descriptions": [
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{
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"lang": "en",
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"value": "A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the `mlflow/sagemaker/__init__.py` file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization, which are then executed using `os.system()`. This allows attackers to execute arbitrary commands by supplying malicious input through the `--container` parameter of the CLI. The issue affects environments where MLflow is used, including development setups, CI/CD pipelines, and cloud deployments."
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}
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],
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"affected": [
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{
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"vendor": "mlflow",
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"product": "mlflow/mlflow",
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"versions": [
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{
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"version": "unspecified",
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"status": "affected",
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"versionType": "custom",
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"lessThanOrEqual": "latest"
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}
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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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"url": "https://huntr.com/bounties/229cd526-41aa-4819-b6f0-e2d0371c89e3"
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}
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],
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"metrics": [
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{
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"cvssV3_0": {
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"version": "3.0",
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"attackComplexity": "HIGH",
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"attackVector": "NETWORK",
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"availabilityImpact": "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:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
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"baseScore": 7.5,
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"baseSeverity": "HIGH"
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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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"type": "CWE",
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"lang": "en",
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"description": "CWE-94 Improper Control of Generation of Code",
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"cweId": "CWE-94"
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}
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]
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}
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],
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"source": {
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"advisory": "229cd526-41aa-4819-b6f0-e2d0371c89e3",
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"discovery": "EXTERNAL"
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}
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"adp": [
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{
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"metrics": [
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"other": {
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"type": "ssvc",
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"content": {
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"timestamp": "2026-03-17T03:55:37.361001Z",
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"id": "CVE-2025-14287",
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"options": [
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{
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"Exploitation": "poc"
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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": "2026-03-17T12:44:13.631Z"
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}
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},
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{
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"affected": [
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{
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"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
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"cpes": [
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"cpe:/a:redhat:openshift_ai"
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],
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"defaultStatus": "unaffected",
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"packageName": "rhoai/odh-mlflow-rhel9",
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"product": "Red Hat OpenShift AI (RHOAI)",
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"vendor": "Red Hat"
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},
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{
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"collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
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"cpes": [
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"cpe:/a:redhat:openshift_ai"
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],
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"defaultStatus": "affected",
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"packageName": "rhoai/odh-training-cuda128-torch29-py312-rhel9",
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"product": "Red Hat OpenShift AI (RHOAI)",
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"vendor": "Red Hat"
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}
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"datePublic": "2026-03-15T09:27:36.706Z",
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"descriptions": [
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{
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"lang": "en",
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"value": "A flaw was found in MLflow, a platform for managing the machine learning lifecycle. This vulnerability, known as command injection, allows an attacker to execute unauthorized commands on the system. By providing specially crafted input through the `--container` parameter, an attacker can bypass security checks and inject malicious code. This can lead to arbitrary command execution, potentially compromising the integrity and confidentiality of the affected system."
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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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"content": {
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"namespace": "https://access.redhat.com/security/updates/classification/",
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"value": "Important"
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},
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"type": "Red Hat severity rating"
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},
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{
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"cvssV3_1": {
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"attackComplexity": "LOW",
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"attackVector": "LOCAL",
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"availabilityImpact": "HIGH",
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"baseScore": 7.8,
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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:L/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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"format": "CVSS"
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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-78",
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"description": "Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')",
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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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"references": [
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{
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"tags": [
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"vdb-entry",
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"x_refsource_REDHAT"
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],
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"url": "https://access.redhat.com/security/cve/CVE-2025-14287"
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},
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{
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"name": "RHBZ#2447690",
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"tags": [
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"issue-tracking",
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"x_refsource_REDHAT"
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],
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"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2447690"
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},
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{
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"tags": [
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"x_sadp-csaf-vex"
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],
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"url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-14287.json"
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}
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],
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"timeline": [
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{
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"lang": "en",
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"time": "2026-03-15T10:01:24.305Z",
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"value": "Reported to Red Hat."
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},
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{
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"lang": "en",
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"time": "2026-03-15T09:27:36.706Z",
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"value": "Made public."
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}
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],
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"title": "mlflow: MLflow: Arbitrary command execution via unsanitized container image names",
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"x_adpType": "supplier",
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"x_generator": {
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"engine": "sadp-cli 1.0.0"
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"shortName": "redhat-SADP",
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"dateUpdated": "2026-07-15T01:27:17.882Z"
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}
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} |