{"dataType": "CVE_RECORD", "dataVersion": "5.1", "cveMetadata": {"cveId": "CVE-2025-9905", "assignerOrgId": "14ed7db2-1595-443d-9d34-6215bf890778", "state": "PUBLISHED", "assignerShortName": "Google", "dateReserved": "2025-09-03T07:27:18.212Z", "datePublished": "2025-09-19T08:16:44.772Z", "dateUpdated": "2025-09-20T03:55:40.926Z"}, "containers": {"cna": {"affected": [{"collectionURL": "https://github.com/keras-team/keras", "defaultStatus": "unaffected", "packageName": "keras", "product": "Keras", "repo": "https://github.com/keras-team/keras", "vendor": "Keras-team", "versions": [{"lessThanOrEqual": "3.11.2", "status": "affected", "version": "3.0.0", "versionType": "semver"}]}], "credits": [{"lang": "en", "type": "finder", "value": "Gabriele Digregorio"}], "descriptions": [{"lang": "en", "supportingMedia": [{"base64": false, "type": "text/html", "value": "<p>The Keras <code>Model.load_model</code>&nbsp;method can be exploited to achieve arbitrary code execution, even with <code>safe_mode=True</code>.</p><p>One can create a specially crafted <code>.h5</code>/<code>.hdf5</code>&nbsp;model archive that, when loaded via <code>Model.load_model</code>, will trigger arbitrary code to be executed.</p><p>This is achieved by crafting a special <code>.h5</code>&nbsp;archive file that uses the <code>Lambda</code>&nbsp;layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the <code>safe_mode=True</code>&nbsp;option is not honored when reading <code>.h5</code>&nbsp;archives.</p><p>Note that the <code>.h5</code>/<code>.hdf5</code>&nbsp;format is a legacy format supported by Keras 3 for backwards compatibility.</p><br>"}], "value": "The Keras Model.load_model\u00a0method can be exploited to achieve arbitrary code execution, even with safe_mode=True.\n\nOne can create a specially crafted .h5/.hdf5\u00a0model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed.\n\nThis is achieved by crafting a special .h5\u00a0archive file that uses the Lambda\u00a0layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the safe_mode=True\u00a0option is not honored when reading .h5\u00a0archives.\n\nNote that the .h5/.hdf5\u00a0format is a legacy format supported by Keras 3 for backwards compatibility."}], "impacts": [{"capecId": "CAPEC-175", "descriptions": [{"lang": "en", "value": "CAPEC-175 Code Inclusion"}]}], "metrics": [{"cvssV4_0": {"Automatable": "NOT_DEFINED", "Recovery": "NOT_DEFINED", "Safety": "NOT_DEFINED", "attackComplexity": "HIGH", "attackRequirements": "PRESENT", "attackVector": "LOCAL", "baseScore": 7.3, "baseSeverity": "HIGH", "privilegesRequired": "LOW", "providerUrgency": "NOT_DEFINED", "subAvailabilityImpact": "HIGH", "subConfidentialityImpact": "HIGH", "subIntegrityImpact": "HIGH", "userInteraction": "PASSIVE", "valueDensity": "NOT_DEFINED", "vectorString": "CVSS:4.0/AV:L/AC:H/AT:P/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H", "version": "4.0", "vulnAvailabilityImpact": "HIGH", "vulnConfidentialityImpact": "HIGH", "vulnIntegrityImpact": "HIGH", "vulnerabilityResponseEffort": "NOT_DEFINED"}, "format": "CVSS", "scenarios": [{"lang": "en", "value": "GENERAL"}]}], "problemTypes": [{"descriptions": [{"cweId": "CWE-913", "description": "CWE-913 Improper Control of Dynamically-Managed Code Resources", "lang": "en", "type": "CWE"}]}], "providerMetadata": {"orgId": "14ed7db2-1595-443d-9d34-6215bf890778", "shortName": "Google", "dateUpdated": "2025-09-19T08:16:44.772Z"}, "references": [{"tags": ["patch"], "url": "https://github.com/keras-team/keras/pull/21602"}, {"url": "https://github.com/keras-team/keras/security/advisories/GHSA-36rr-ww3j-vrjv"}], "source": {"discovery": "UNKNOWN"}, "title": "Arbitary Code execution in Keras load_model()", "x_generator": {"engine": "Vulnogram 0.2.0"}}, "adp": [{"metrics": [{"other": {"type": "ssvc", "content": {"timestamp": "2025-09-19T00:00:00+00:00", "options": [{"Exploitation": "none"}, {"Automatable": "no"}, {"Technical Impact": "total"}], "role": "CISA Coordinator", "version": "2.0.3", "id": "CVE-2025-9905"}}}], "title": "CISA ADP Vulnrichment", "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2025-09-20T03:55:40.926Z"}}]}}

{"dataType": "CVE_RECORD", "containers": {"adp": [{"title": "CISA ADP Vulnrichment", "metrics": [{"other": {"type": "ssvc", "content": {"id": "CVE-2025-9905", "role": "CISA Coordinator", "options": [{"Exploitation": "none"}, {"Automatable": "no"}, {"Technical Impact": "total"}], "version": "2.0.3", "timestamp": "2025-09-19T11:47:46.060479Z"}}}], "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2025-09-19T11:48:23.572Z"}}], "cna": {"title": "Arbitary Code execution in Keras load_model()", "source": {"discovery": "UNKNOWN"}, "credits": [{"lang": "en", "type": "finder", "value": "Gabriele Digregorio"}], "impacts": [{"capecId": "CAPEC-175", "descriptions": [{"lang": "en", "value": "CAPEC-175 Code Inclusion"}]}], "metrics": [{"format": "CVSS", "cvssV4_0": {"Safety": "NOT_DEFINED", "version": "4.0", "Recovery": "NOT_DEFINED", "baseScore": 7.3, "Automatable": "NOT_DEFINED", "attackVector": "LOCAL", "baseSeverity": "HIGH", "valueDensity": "NOT_DEFINED", "vectorString": "CVSS:4.0/AV:L/AC:H/AT:P/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H", "providerUrgency": "NOT_DEFINED", "userInteraction": "PASSIVE", "attackComplexity": "HIGH", "attackRequirements": "PRESENT", "privilegesRequired": "LOW", "subIntegrityImpact": "HIGH", "vulnIntegrityImpact": "HIGH", "subAvailabilityImpact": "HIGH", "vulnAvailabilityImpact": "HIGH", "subConfidentialityImpact": "HIGH", "vulnConfidentialityImpact": "HIGH", "vulnerabilityResponseEffort": "NOT_DEFINED"}, "scenarios": [{"lang": "en", "value": "GENERAL"}]}], "affected": [{"repo": "https://github.com/keras-team/keras", "vendor": "Keras-team", "product": "Keras", "versions": [{"status": "affected", "version": "3.0.0", "versionType": "semver", "lessThanOrEqual": "3.11.2"}], "packageName": "keras", "collectionURL": "https://github.com/keras-team/keras", "defaultStatus": "unaffected"}], "references": [{"url": "https://github.com/keras-team/keras/pull/21602", "tags": ["patch"]}, {"url": "https://github.com/keras-team/keras/security/advisories/GHSA-36rr-ww3j-vrjv"}], "x_generator": {"engine": "Vulnogram 0.2.0"}, "descriptions": [{"lang": "en", "value": "The Keras Model.load_model\u00a0method can be exploited to achieve arbitrary code execution, even with safe_mode=True.\n\nOne can create a specially crafted .h5/.hdf5\u00a0model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed.\n\nThis is achieved by crafting a special .h5\u00a0archive file that uses the Lambda\u00a0layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the safe_mode=True\u00a0option is not honored when reading .h5\u00a0archives.\n\nNote that the .h5/.hdf5\u00a0format is a legacy format supported by Keras 3 for backwards compatibility.", "supportingMedia": [{"type": "text/html", "value": "<p>The Keras <code>Model.load_model</code>&nbsp;method can be exploited to achieve arbitrary code execution, even with <code>safe_mode=True</code>.</p><p>One can create a specially crafted <code>.h5</code>/<code>.hdf5</code>&nbsp;model archive that, when loaded via <code>Model.load_model</code>, will trigger arbitrary code to be executed.</p><p>This is achieved by crafting a special <code>.h5</code>&nbsp;archive file that uses the <code>Lambda</code>&nbsp;layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the <code>safe_mode=True</code>&nbsp;option is not honored when reading <code>.h5</code>&nbsp;archives.</p><p>Note that the <code>.h5</code>/<code>.hdf5</code>&nbsp;format is a legacy format supported by Keras 3 for backwards compatibility.</p><br>", "base64": false}]}], "problemTypes": [{"descriptions": [{"lang": "en", "type": "CWE", "cweId": "CWE-913", "description": "CWE-913 Improper Control of Dynamically-Managed Code Resources"}]}], "providerMetadata": {"orgId": "14ed7db2-1595-443d-9d34-6215bf890778", "shortName": "Google", "dateUpdated": "2025-09-19T08:16:44.772Z"}}}, "cveMetadata": {"cveId": "CVE-2025-9905", "state": "PUBLISHED", "dateUpdated": "2025-09-20T03:55:40.926Z", "dateReserved": "2025-09-03T07:27:18.212Z", "assignerOrgId": "14ed7db2-1595-443d-9d34-6215bf890778", "datePublished": "2025-09-19T08:16:44.772Z", "assignerShortName": "Google"}, "dataVersion": "5.1"}

{"configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:keras:keras:*:*:*:*:*:*:*:*", "matchCriteriaId": "315FD6FA-C1F3-47FD-AE5D-DF4D556D657F", "versionEndExcluding": "3.11.3", "versionStartIncluding": "3.0.0", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "cveTags": [], "descriptions": [{"lang": "en", "value": "The Keras Model.load_model\u00a0method can be exploited to achieve arbitrary code execution, even with safe_mode=True.\n\nOne can create a specially crafted .h5/.hdf5\u00a0model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed.\n\nThis is achieved by crafting a special .h5\u00a0archive file that uses the Lambda\u00a0layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the safe_mode=True\u00a0option is not honored when reading .h5\u00a0archives.\n\nNote that the .h5/.hdf5\u00a0format is a legacy format supported by Keras 3 for backwards compatibility."}], "id": "CVE-2025-9905", "lastModified": "2025-09-23T16:53:40.050", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "HIGH", "baseScore": 7.3, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 1.3, "impactScore": 5.9, "source": "nvd@nist.gov", "type": "Primary"}], "cvssMetricV40": [{"cvssData": {"Automatable": "NOT_DEFINED", "Recovery": "NOT_DEFINED", "Safety": "NOT_DEFINED", "attackComplexity": "HIGH", "attackRequirements": "PRESENT", "attackVector": "LOCAL", "availabilityRequirement": "NOT_DEFINED", "baseScore": 7.3, "baseSeverity": "HIGH", "confidentialityRequirement": "NOT_DEFINED", "exploitMaturity": "NOT_DEFINED", "integrityRequirement": "NOT_DEFINED", "modifiedAttackComplexity": "NOT_DEFINED", "modifiedAttackRequirements": "NOT_DEFINED", "modifiedAttackVector": "NOT_DEFINED", "modifiedPrivilegesRequired": "NOT_DEFINED", "modifiedSubAvailabilityImpact": "NOT_DEFINED", "modifiedSubConfidentialityImpact": "NOT_DEFINED", "modifiedSubIntegrityImpact": "NOT_DEFINED", "modifiedUserInteraction": "NOT_DEFINED", "modifiedVulnAvailabilityImpact": "NOT_DEFINED", "modifiedVulnConfidentialityImpact": "NOT_DEFINED", "modifiedVulnIntegrityImpact": "NOT_DEFINED", "privilegesRequired": "LOW", "providerUrgency": "NOT_DEFINED", "subAvailabilityImpact": "HIGH", "subConfidentialityImpact": "HIGH", "subIntegrityImpact": "HIGH", "userInteraction": "PASSIVE", "valueDensity": "NOT_DEFINED", "vectorString": "CVSS:4.0/AV:L/AC:H/AT:P/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X", "version": "4.0", "vulnAvailabilityImpact": "HIGH", "vulnConfidentialityImpact": "HIGH", "vulnIntegrityImpact": "HIGH", "vulnerabilityResponseEffort": "NOT_DEFINED"}, "source": "cve-coordination@google.com", "type": "Secondary"}]}, "published": "2025-09-19T09:15:36.033", "references": [{"source": "cve-coordination@google.com", "tags": ["Issue Tracking", "Patch"], "url": "https://github.com/keras-team/keras/pull/21602"}, {"source": "cve-coordination@google.com", "tags": ["Exploit", "Vendor Advisory"], "url": "https://github.com/keras-team/keras/security/advisories/GHSA-36rr-ww3j-vrjv"}], "sourceIdentifier": "cve-coordination@google.com", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-913"}], "source": "cve-coordination@google.com", "type": "Secondary"}]}

{"bugzilla": {"description": "keras: Arbitary Code execution in Keras load_model()", "id": "2396645", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2396645"}, "csaw": false, "cvss3": {"cvss3_base_score": "8.6", "cvss3_scoring_vector": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H", "status": "draft"}, "cwe": "CWE-913", "details": ["No description is available for this CVE."], "mitigation": {"lang": "en:us", "value": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability."}, "name": "CVE-2025-9905", "package_state": [{"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-modelmesh-runtime-adapter-rhel8", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-modelmesh-runtime-adapter-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2025-09-19T08:16:44Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2025-9905\nhttps://nvd.nist.gov/vuln/detail/CVE-2025-9905\nhttps://github.com/keras-team/keras/pull/21602\nhttps://github.com/keras-team/keras/security/advisories/GHSA-36rr-ww3j-vrjv"], "threat_severity": "Important"}

{"created": "2025-09-22T10:00:13.963518+00:00", "updated": "2025-09-22T10:06:31.106173+00:00", "vendors": ["keras", "keras$PRODUCT$keras"]}