CVE-2025-8747

{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2025-8747", "assignerOrgId": "14ed7db2-1595-443d-9d34-6215bf890778", "state": "PUBLISHED", "assignerShortName": "Google", "dateReserved": "2025-08-08T09:37:17.811Z", "datePublished": "2025-08-11T07:21:16.619Z", "dateUpdated": "2026-02-26T17:49:45.906Z"}, "containers": {"cna": {"affected": [{"defaultStatus": "unaffected", "product": "Keras", "repo": "https://github.com/keras-team/keras", "vendor": "Google", "versions": [{"lessThanOrEqual": "3.10.0", "status": "affected", "version": "3.0.0", "versionType": "semver"}]}], "credits": [{"lang": "en", "type": "reporter", "value": "JFrog Security Research Team"}], "datePublic": "2025-06-14T09:00:00.000Z", "descriptions": [{"lang": "en", "supportingMedia": [{"base64": false, "type": "text/html", "value": "A safe mode bypass vulnerability in the `Model.load_model` method in Keras versions 3.0.0 through 3.10.0 allows an attacker to achieve arbitrary code execution by convincing a user to load a specially crafted `.keras` model archive."}], "value": "A safe mode bypass vulnerability in the `Model.load_model` method in Keras versions 3.0.0 through 3.10.0 allows an attacker to achieve arbitrary code execution by convincing a user to load a specially crafted `.keras` model archive."}], "impacts": [{"capecId": "CAPEC-242", "descriptions": [{"lang": "en", "value": "CAPEC-242 Code Injection"}]}], "metrics": [{"cvssV4_0": {"Automatable": "YES", "Recovery": "AUTOMATIC", "Safety": "NOT_DEFINED", "attackComplexity": "LOW", "attackRequirements": "NONE", "attackVector": "LOCAL", "baseScore": 8.6, "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:L/AT:N/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/AU:Y/R:A", "version": "4.0", "vulnAvailabilityImpact": "HIGH", "vulnConfidentialityImpact": "HIGH", "vulnIntegrityImpact": "HIGH", "vulnerabilityResponseEffort": "NOT_DEFINED"}, "format": "CVSS", "scenarios": [{"lang": "en", "value": "GENERAL"}]}], "problemTypes": [{"descriptions": [{"cweId": "CWE-502", "description": "CWE-502 Deserialization of Untrusted Data", "lang": "en", "type": "CWE"}]}], "providerMetadata": {"orgId": "14ed7db2-1595-443d-9d34-6215bf890778", "shortName": "Google", "dateUpdated": "2025-08-11T07:21:16.619Z"}, "references": [{"tags": ["patch"], "url": "https://github.com/keras-team/keras/pull/21429"}, {"tags": ["third-party-advisory"], "url": "https://jfrog.com/blog/keras-safe_mode-bypass-vulnerability/"}], "solutions": [{"lang": "en", "supportingMedia": [{"base64": false, "type": "text/html", "value": "Upgrade to a version of Keras with the fix implemented (version 3.11.0 or newer)."}], "value": "Upgrade to a version of Keras with the fix implemented (version 3.11.0 or newer)."}], "source": {"discovery": "EXTERNAL"}, "title": "Keras safe_mode bypass allows arbitrary code execution when loading a malicious model.", "x_generator": {"engine": "Vulnogram 0.2.0"}}, "adp": [{"metrics": [{"other": {"type": "ssvc", "content": {"id": "CVE-2025-8747", "role": "CISA Coordinator", "options": [{"Exploitation": "poc"}, {"Automatable": "no"}, {"Technical Impact": "total"}], "version": "2.0.3", "timestamp": "2025-08-15T03:55:48.540132Z"}}}], "references": [{"url": "https://jfrog.com/blog/keras-safe_mode-bypass-vulnerability/", "tags": ["exploit"]}], "title": "CISA ADP Vulnrichment", "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2026-02-26T17:49:45.906Z"}}]}}

{"dataType": "CVE_RECORD", "containers": {"adp": [{"title": "CISA ADP Vulnrichment", "metrics": [{"other": {"type": "ssvc", "content": {"id": "CVE-2025-8747", "role": "CISA Coordinator", "options": [{"Exploitation": "poc"}, {"Automatable": "no"}, {"Technical Impact": "total"}], "version": "2.0.3", "timestamp": "2025-08-11T13:31:26.415292Z"}}}], "references": [{"url": "https://jfrog.com/blog/keras-safe_mode-bypass-vulnerability/", "tags": ["exploit"]}], "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2025-08-11T13:31:40.386Z"}}], "cna": {"title": "Keras safe_mode bypass allows arbitrary code execution when loading a malicious model.", "source": {"discovery": "EXTERNAL"}, "credits": [{"lang": "en", "type": "reporter", "value": "JFrog Security Research Team"}], "impacts": [{"capecId": "CAPEC-242", "descriptions": [{"lang": "en", "value": "CAPEC-242 Code Injection"}]}], "metrics": [{"format": "CVSS", "cvssV4_0": {"Safety": "NOT_DEFINED", "version": "4.0", "Recovery": "AUTOMATIC", "baseScore": 8.6, "Automatable": "YES", "attackVector": "LOCAL", "baseSeverity": "HIGH", "valueDensity": "NOT_DEFINED", "vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/AU:Y/R:A", "providerUrgency": "NOT_DEFINED", "userInteraction": "PASSIVE", "attackComplexity": "LOW", "attackRequirements": "NONE", "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": "Google", "product": "Keras", "versions": [{"status": "affected", "version": "3.0.0", "versionType": "semver", "lessThanOrEqual": "3.10.0"}], "defaultStatus": "unaffected"}], "solutions": [{"lang": "en", "value": "Upgrade to a version of Keras with the fix implemented (version 3.11.0 or newer).", "supportingMedia": [{"type": "text/html", "value": "Upgrade to a version of Keras with the fix implemented (version 3.11.0 or newer).", "base64": false}]}], "datePublic": "2025-06-14T09:00:00.000Z", "references": [{"url": "https://github.com/keras-team/keras/pull/21429", "tags": ["patch"]}, {"url": "https://jfrog.com/blog/keras-safe_mode-bypass-vulnerability/", "tags": ["third-party-advisory"]}], "x_generator": {"engine": "Vulnogram 0.2.0"}, "descriptions": [{"lang": "en", "value": "A safe mode bypass vulnerability in the `Model.load_model` method in Keras versions 3.0.0 through 3.10.0 allows an attacker to achieve arbitrary code execution by convincing a user to load a specially crafted `.keras` model archive.", "supportingMedia": [{"type": "text/html", "value": "A safe mode bypass vulnerability in the `Model.load_model` method in Keras versions 3.0.0 through 3.10.0 allows an attacker to achieve arbitrary code execution by convincing a user to load a specially crafted `.keras` model archive.", "base64": false}]}], "problemTypes": [{"descriptions": [{"lang": "en", "type": "CWE", "cweId": "CWE-502", "description": "CWE-502 Deserialization of Untrusted Data"}]}], "providerMetadata": {"orgId": "14ed7db2-1595-443d-9d34-6215bf890778", "shortName": "Google", "dateUpdated": "2025-08-11T07:21:16.619Z"}}}, "cveMetadata": {"cveId": "CVE-2025-8747", "state": "PUBLISHED", "dateUpdated": "2025-08-15T03:55:47.720Z", "dateReserved": "2025-08-08T09:37:17.811Z", "assignerOrgId": "14ed7db2-1595-443d-9d34-6215bf890778", "datePublished": "2025-08-11T07:21:16.619Z", "assignerShortName": "Google"}, "dataVersion": "5.1"}

{"affected": [{"affectedData": [{"defaultStatus": "unaffected", "product": "Keras", "repo": "https://github.com/keras-team/keras", "vendor": "Google", "versions": [{"lessThanOrEqual": "3.10.0", "status": "affected", "version": "3.0.0", "versionType": "semver"}]}], "source": "cve-coordination@google.com"}], "configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:keras:keras:*:*:*:*:*:*:*:*", "matchCriteriaId": "D4C93B0E-AACE-4B11-996D-928C49AB9301", "versionEndIncluding": "3.10.0", "versionStartIncluding": "3.0.0", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "cveTags": [], "descriptions": [{"lang": "en", "value": "A safe mode bypass vulnerability in the `Model.load_model` method in Keras versions 3.0.0 through 3.10.0 allows an attacker to achieve arbitrary code execution by convincing a user to load a specially crafted `.keras` model archive."}, {"lang": "es", "value": "Una vulnerabilidad de omisi\u00f3n del modo seguro en el m\u00e9todo `Model.load_model` en las versiones 3.0.0 a 3.10.0 de Keras permite a un atacante lograr la ejecuci\u00f3n de c\u00f3digo arbitrario al convencer a un usuario de cargar un archivo de modelo `.keras` especialmente manipulado."}], "id": "CVE-2025-8747", "lastModified": "2026-06-17T10:07:32.913", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "LOCAL", "availabilityImpact": "HIGH", "baseScore": 7.8, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 1.8, "impactScore": 5.9, "source": "nvd@nist.gov", "type": "Primary"}], "cvssMetricV40": [{"cvssData": {"Automatable": "YES", "Recovery": "AUTOMATIC", "Safety": "NOT_DEFINED", "attackComplexity": "LOW", "attackRequirements": "NONE", "attackVector": "LOCAL", "availabilityRequirement": "NOT_DEFINED", "baseScore": 8.6, "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:L/AT:N/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:Y/R:A/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"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2025-8747", "options": [{"exploitation": "poc"}, {"automatable": "no"}, {"technicalImpact": "total"}], "role": "CISA Coordinator", "timestamp": "2025-08-15T03:55:48.540132Z", "version": "2.0.3"}}]}, "published": "2025-08-11T08:15:26.507", "references": [{"source": "cve-coordination@google.com", "tags": ["Issue Tracking"], "url": "https://github.com/keras-team/keras/pull/21429"}, {"source": "cve-coordination@google.com", "tags": ["Third Party Advisory"], "url": "https://jfrog.com/blog/keras-safe_mode-bypass-vulnerability/"}, {"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "tags": ["Third Party Advisory"], "url": "https://jfrog.com/blog/keras-safe_mode-bypass-vulnerability/"}], "sourceIdentifier": "cve-coordination@google.com", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-502"}], "source": "cve-coordination@google.com", "type": "Secondary"}]}

{}

{"created": "2025-08-12T11:47:05.951972+00:00", "updated": "2025-08-12T11:47:05.952025+00:00", "vendors": ["keras", "keras$PRODUCT$keras"]}