CVE-2026-6658

{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2026-6658", "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "state": "PUBLISHED", "assignerShortName": "@huntr_ai", "dateReserved": "2026-04-20T08:17:42.331Z", "datePublished": "2026-06-26T09:40:30.952Z", "dateUpdated": "2026-06-26T10:19:12.444Z"}, "containers": {"cna": {"title": "Cross-site Scripting (XSS) in jupyter/nbconvert", "providerMetadata": {"orgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "shortName": "@huntr_ai", "dateUpdated": "2026-06-26T09:40:30.952Z"}, "descriptions": [{"lang": "en", "value": "A vulnerability in jupyter/nbconvert versions <= 7.17.0 allows for Cross-site Scripting (XSS) via unsanitized `text/vnd.mermaid` output in HTML exports. The `data_mermaid` block in `share/templates/lab/base.html.j2` renders `text/vnd.mermaid` cell output directly into HTML without escaping, enabling attackers to inject arbitrary HTML/JavaScript by breaking out of the `<pre>` tag. This vulnerability impacts any server using nbconvert to render notebooks as HTML, allowing attackers to execute arbitrary JavaScript in the context of users viewing the HTML export."}], "affected": [{"vendor": "jupyter", "product": "jupyter/jupyter", "versions": [{"version": "unspecified", "status": "affected", "versionType": "custom", "lessThanOrEqual": "latest"}]}], "references": [{"url": "https://huntr.com/bounties/47570290-3b26-4477-8cfa-fdef7db5aefe"}], "metrics": [{"cvssV3_0": {"version": "3.0", "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "NONE", "confidentialityImpact": "LOW", "integrityImpact": "LOW", "privilegesRequired": "LOW", "scope": "CHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N", "baseScore": 5.4, "baseSeverity": "MEDIUM"}}], "problemTypes": [{"descriptions": [{"type": "CWE", "lang": "en", "description": "CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')", "cweId": "CWE-79"}]}], "source": {"advisory": "47570290-3b26-4477-8cfa-fdef7db5aefe", "discovery": "EXTERNAL"}}, "adp": [{"references": [{"url": "https://huntr.com/bounties/47570290-3b26-4477-8cfa-fdef7db5aefe", "tags": ["exploit"]}], "metrics": [{"other": {"type": "ssvc", "content": {"timestamp": "2026-06-26T10:19:03.505659Z", "id": "CVE-2026-6658", "options": [{"Exploitation": "poc"}, {"Automatable": "no"}, {"Technical Impact": "partial"}], "role": "CISA Coordinator", "version": "2.0.3"}}}], "title": "CISA ADP Vulnrichment", "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2026-06-26T10:19:12.444Z"}}]}}

{"dataType": "CVE_RECORD", "containers": {"adp": [{"title": "CISA ADP Vulnrichment", "metrics": [{"other": {"type": "ssvc", "content": {"id": "CVE-2026-6658", "role": "CISA Coordinator", "options": [{"Exploitation": "poc"}, {"Automatable": "no"}, {"Technical Impact": "partial"}], "version": "2.0.3", "timestamp": "2026-06-26T10:19:03.505659Z"}}}], "references": [{"url": "https://huntr.com/bounties/47570290-3b26-4477-8cfa-fdef7db5aefe", "tags": ["exploit"]}], "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2026-06-26T10:18:52.978Z"}}], "cna": {"title": "Cross-site Scripting (XSS) in jupyter/nbconvert", "source": {"advisory": "47570290-3b26-4477-8cfa-fdef7db5aefe", "discovery": "EXTERNAL"}, "metrics": [{"cvssV3_0": {"scope": "CHANGED", "version": "3.0", "baseScore": 5.4, "attackVector": "NETWORK", "baseSeverity": "MEDIUM", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N", "integrityImpact": "LOW", "userInteraction": "REQUIRED", "attackComplexity": "LOW", "availabilityImpact": "NONE", "privilegesRequired": "LOW", "confidentialityImpact": "LOW"}}], "affected": [{"vendor": "jupyter", "product": "jupyter/jupyter", "versions": [{"status": "affected", "version": "unspecified", "versionType": "custom", "lessThanOrEqual": "latest"}]}], "references": [{"url": "https://huntr.com/bounties/47570290-3b26-4477-8cfa-fdef7db5aefe"}], "descriptions": [{"lang": "en", "value": "A vulnerability in jupyter/nbconvert versions <= 7.17.0 allows for Cross-site Scripting (XSS) via unsanitized `text/vnd.mermaid` output in HTML exports. The `data_mermaid` block in `share/templates/lab/base.html.j2` renders `text/vnd.mermaid` cell output directly into HTML without escaping, enabling attackers to inject arbitrary HTML/JavaScript by breaking out of the `<pre>` tag. This vulnerability impacts any server using nbconvert to render notebooks as HTML, allowing attackers to execute arbitrary JavaScript in the context of users viewing the HTML export."}], "problemTypes": [{"descriptions": [{"lang": "en", "type": "CWE", "cweId": "CWE-79", "description": "CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')"}]}], "providerMetadata": {"orgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "shortName": "@huntr_ai", "dateUpdated": "2026-06-26T09:40:30.952Z"}}}, "cveMetadata": {"cveId": "CVE-2026-6658", "state": "PUBLISHED", "dateUpdated": "2026-06-26T10:19:12.444Z", "dateReserved": "2026-04-20T08:17:42.331Z", "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "datePublished": "2026-06-26T09:40:30.952Z", "assignerShortName": "@huntr_ai"}, "dataVersion": "5.2"}

{"affected": [{"affectedData": [{"product": "jupyter/jupyter", "vendor": "jupyter", "versions": [{"lessThanOrEqual": "latest", "status": "affected", "version": "unspecified", "versionType": "custom"}]}], "source": "security@huntr.dev"}], "cveTags": [], "descriptions": [{"lang": "en", "value": "A vulnerability in jupyter/nbconvert versions <= 7.17.0 allows for Cross-site Scripting (XSS) via unsanitized `text/vnd.mermaid` output in HTML exports. The `data_mermaid` block in `share/templates/lab/base.html.j2` renders `text/vnd.mermaid` cell output directly into HTML without escaping, enabling attackers to inject arbitrary HTML/JavaScript by breaking out of the `<pre>` tag. This vulnerability impacts any server using nbconvert to render notebooks as HTML, allowing attackers to execute arbitrary JavaScript in the context of users viewing the HTML export."}, {"lang": "es", "value": "Una vulnerabilidad en las versiones menor o igual que 7.17.0 de jupyter/nbconvert permite cross-site scripting (XSS) a trav\u00e9s de la salida \u2019text/vnd.mermaid\u2019 sin sanitizar en las exportaciones HTML. El bloque \u2019data_mermaid\u2019 en \u2019share/templates/lab/base.html.j2\u2019 renderiza la salida de celda \u2019text/vnd.mermaid\u2019 directamente en HTML sin escapar, permitiendo a los atacantes inyectar HTML/JavaScript arbitrario al salir de la etiqueta \u2019[pre]\u2019. Esta vulnerabilidad afecta a cualquier servidor que utilice nbconvert para renderizar cuadernos como HTML, permitiendo a los atacantes ejecutar JavaScript arbitrario en el contexto de los usuarios que visualizan la exportaci\u00f3n HTML."}], "id": "CVE-2026-6658", "lastModified": "2026-10-25T22:10:00.150", "metrics": {"cvssMetricV30": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 5.4, "baseSeverity": "MEDIUM", "confidentialityImpact": "LOW", "integrityImpact": "LOW", "privilegesRequired": "LOW", "scope": "CHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N", "version": "3.0"}, "exploitabilityScore": 2.3, "impactScore": 2.7, "source": "security@huntr.dev", "type": "Secondary"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2026-6658", "options": [{"exploitation": "poc"}, {"automatable": "no"}, {"technicalImpact": "partial"}], "role": "CISA Coordinator", "timestamp": "2026-06-26T10:19:03.505659Z", "version": "2.0.3"}}]}, "published": "2026-06-26T10:16:22.810", "references": [{"source": "security@huntr.dev", "url": "https://huntr.com/bounties/47570290-3b26-4477-8cfa-fdef7db5aefe"}, {"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "url": "https://huntr.com/bounties/47570290-3b26-4477-8cfa-fdef7db5aefe"}], "sourceIdentifier": "security@huntr.dev", "vulnStatus": "Deferred", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-79"}], "source": "security@huntr.dev", "type": "Secondary"}]}

{"bugzilla": {"description": "nbconvert: nbconvert: Cross-site Scripting via unsanitized Mermaid output in HTML exports", "id": "2493377", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2493377"}, "csaw": false, "cvss3": {"cvss3_base_score": "5.4", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N", "status": "draft"}, "cwe": "CWE-79", "details": ["A vulnerability in jupyter/nbconvert versions <= 7.17.0 allows for Cross-site Scripting (XSS) via unsanitized `text/vnd.mermaid` output in HTML exports. The `data_mermaid` block in `share/templates/lab/base.html.j2` renders `text/vnd.mermaid` cell output directly into HTML without escaping, enabling attackers to inject arbitrary HTML/JavaScript by breaking out of the `<pre>` tag. This vulnerability impacts any server using nbconvert to render notebooks as HTML, allowing attackers to execute arbitrary JavaScript in the context of users viewing the HTML export.", "A flaw was found in nbconvert. This vulnerability allows a remote attacker to perform Cross-site Scripting (XSS) by injecting arbitrary HTML or JavaScript code. This occurs due to unsanitized `text/vnd.mermaid` output in HTML exports, where the `data_mermaid` block directly renders cell output without proper escaping. Successful exploitation enables attackers to execute arbitrary JavaScript in the context of users viewing the exported HTML notebooks."], "mitigation": {"lang": "en:us", "value": "Users should avoid exporting or viewing untrusted notebooks as HTML to prevent the execution of arbitrary JavaScript."}, "name": "CVE-2026-6658", "package_state": [{"cpe": "cpe:/a:redhat:migration_toolkit_applications:8", "fix_state": "Fix deferred", "package_name": "mta/mta-solution-server-rhel9", "product_name": "Migration Toolkit for Applications 8"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-pipeline-runtime-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-pipeline-runtime-minimal-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-pipeline-runtime-pytorch-llmcompressor-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-pipeline-runtime-pytorch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-pipeline-runtime-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-th06-cpu-torch210-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-th06-cpu-torch291-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-th06-cuda130-torch210-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-th06-cuda130-torch291-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-th06-rocm64-torch291-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:satellite:6", "fix_state": "Fix deferred", "package_name": "satellite/iop-advisor-engine-rhel9", "product_name": "Red Hat Satellite 6"}], "public_date": "2026-06-26T09:40:30Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-6658\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-6658\nhttps://huntr.com/bounties/47570290-3b26-4477-8cfa-fdef7db5aefe"], "statement": "This Moderate severity Cross-site Scripting (XSS) flaw in `jupyter/nbconvert` allows a remote attacker to execute arbitrary JavaScript in the context of a user's browser. The vulnerability arises from improper sanitization of `text/vnd.mermaid` output during HTML export, enabling injection of malicious code when a user views an exported notebook from an untrusted source. This impacts Red Hat OpenShift AI, Migration Toolkit for Applications, and Red Hat Satellite, where `nbconvert` is utilized for notebook rendering.", "threat_severity": "Moderate"}

{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[0,7.17.0]"}}], "enrichment": {"confidence": 80.0, "confidence_source": "matching", "scores": [{"score": 80.0, "source": "matching"}]}, "original": {"product": "jupyter/jupyter", "source": "cna", "vendor": "jupyter"}, "product": "jupyter_server", "vendor": "jupyter"}], "created": "2026-06-26T12:00:13.504628+00:00", "updated": "2026-06-29T19:45:02.876001+00:00", "vendors": ["jupyter", "jupyter$PRODUCT$jupyter_server"]}