[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fEZQgfDBzB5Ry13GebZt3u7bPWnggSFrQNaqQKyoo72s":3,"g5a-risk:CVE-2023-3361":130},{"success":4,"data":5,"meta":127},true,{"cveId":6,"title":7,"description":8,"shortDescription":9,"publishedDate":10,"lastModified":11,"cvssScore":12,"cvssVector":13,"cvssMetrics":14,"epssScore":38,"epssPercentile":26,"epssTimeSeries":39,"severity":40,"affectedProducts":41,"affectedProductsCount":52,"references":53,"referencesCount":67,"weaknesses":68,"weaknessesCount":52,"isActivelyExploited":83,"cisaInfo":26,"otxData":26,"relatedBlogPosts":84,"seoMetadata":85,"configurations":110,"relatedVendorCves":125,"notableEvents":126},"CVE-2023-3361","What is CVE-2023-3361?","A flaw was found in Red Hat OpenShift Data Science. When exporting a pipeline from the Elyra notebook pipeline editor as Python DSL or YAML, it reads S3 credentials from the cluster (ds pipeline server) and saves them in plain text in the generated output instead of an ID for a Kubernetes secret.","A flaw was found in Red Hat OpenShift Data Science. When exporting a pipeline from the Elyra notebook pipeline editor as Python DSL or YAML, it reads S3 cred...","2023-10-04T12:15:10.567","2023-11-07T04:18:35.587",7.5,"CVSS:3.1\u002FAV:N\u002FAC:L\u002FPR:N\u002FUI:N\u002FS:U\u002FC:H\u002FI:N\u002FA:N",{"CVSSMetricV31":15,"CVSSMetricV30":26,"CVSSMetricV2":26,"CVSSMetricV40":26},[16,29],{"Source":17,"Type":18,"CVSSData":19,"ExploitabilityScore":27,"ImpactScore":28},"nvd@nist.gov","Primary",{"Version":20,"VectorString":13,"AttackVector":21,"AttackComplexity":22,"PrivilegesRequired":23,"UserInteraction":23,"Scope":24,"ConfidentialityImpact":25,"IntegrityImpact":23,"AvailabilityImpact":23,"BaseScore":12,"BaseSeverity":25,"ExploitCodeMaturity":26,"RemediationLevel":26,"ReportConfidence":26,"TemporalScore":26,"TemporalSeverity":26,"ConfidentialityRequirement":26,"IntegrityRequirement":26,"AvailabilityRequirement":23,"ModifiedAttackVector":26,"ModifiedAttackComplexity":26,"ModifiedPrivilegesRequired":26,"ModifiedUserInteraction":26,"ModifiedScope":26,"ModifiedConfidentialityImpact":26,"ModifiedIntegrityImpact":26,"ModifiedAvailabilityImpact":26,"EnvironmentalScore":26,"EnvironmentalSeverity":26},"3.1","NETWORK","LOW","NONE","UNCHANGED","HIGH",null,3.9,3.6,{"Source":30,"Type":31,"CVSSData":32,"ExploitabilityScore":36,"ImpactScore":37},"53f830b8-0a3f-465b-8143-3b8a9948e749","Secondary",{"Version":20,"VectorString":33,"AttackVector":21,"AttackComplexity":22,"PrivilegesRequired":22,"UserInteraction":23,"Scope":34,"ConfidentialityImpact":25,"IntegrityImpact":23,"AvailabilityImpact":23,"BaseScore":35,"BaseSeverity":25,"ExploitCodeMaturity":26,"RemediationLevel":26,"ReportConfidence":26,"TemporalScore":26,"TemporalSeverity":26,"ConfidentialityRequirement":26,"IntegrityRequirement":26,"AvailabilityRequirement":23,"ModifiedAttackVector":26,"ModifiedAttackComplexity":26,"ModifiedPrivilegesRequired":26,"ModifiedUserInteraction":26,"ModifiedScope":26,"ModifiedConfidentialityImpact":26,"ModifiedIntegrityImpact":26,"ModifiedAvailabilityImpact":26,"EnvironmentalScore":26,"EnvironmentalSeverity":26},"CVSS:3.1\u002FAV:N\u002FAC:L\u002FPR:L\u002FUI:N\u002FS:C\u002FC:H\u002FI:N\u002FA:N","CHANGED",7.7,3.1,4,0.0047,[38,38,38,38,38,38,38],"High",[42,47],{"vendor":43,"product":44,"version":45,"criteria":46,"vulnerable":4},"opendatahub","open_data_hub_dashboard","*","cpe:2.3:a:opendatahub:open_data_hub_dashboard:*:*:*:*:*:*:*:*",{"vendor":48,"product":49,"version":50,"criteria":51,"vulnerable":4},"redhat","openshift_data_science","-","cpe:2.3:a:redhat:openshift_data_science:-:*:*:*:*:*:*:*",2,[54,59,63],{"url":55,"source":56,"tags":57},"https:\u002F\u002Faccess.redhat.com\u002Fsecurity\u002Fcve\u002FCVE-2023-3361","Red Hat",[58],"Third Party Advisory",{"url":60,"source":56,"tags":61},"https:\u002F\u002Fbugzilla.redhat.com\u002Fshow_bug.cgi?id=2216588",[62,58],"Issue Tracking",{"url":64,"source":65,"tags":66},"https:\u002F\u002Fgithub.com\u002Fopendatahub-io\u002Fodh-dashboard\u002Fissues\u002F1415","GitHub",[62],3,[69,77],{"id":70,"name":71,"description":72,"extendedDescription":73,"status":74,"abstraction":75,"structure":76},"CWE-200","Exposure of Sensitive Information to an Unauthorized Actor","The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.","There are many different kinds of mistakes that introduce information exposures. The severity of the error can range widely, depending on the context in which the product operates, the type of sensitive information that is revealed, and the benefits it may provide to an attacker.  Some kinds of sensitive information include:\nInformation might be sensitive to different parties, each of which may have their own expectations for whether the information should be protected.  These parties include:\nInformation exposures can occur in different ways:\nIt is common practice to describe any loss of confidentiality as an \"information exposure,\" but this can lead to overuse of CWE-200 in CWE mapping. From the CWE perspective, loss of confidentiality is a technical impact that can arise from dozens of different weaknesses, such as insecure file permissions or out-of-bounds read.  CWE-200 and its lower-level descendants are intended to cover the mistakes that occur in behaviors that explicitly manage, store, transfer, or cleanse sensitive information.","Draft","Class","Simple",{"id":78,"name":79,"description":80,"extendedDescription":81,"status":74,"abstraction":82,"structure":76},"CWE-319","Cleartext Transmission of Sensitive Information","The product transmits sensitive or security-critical data in cleartext in a communication channel that can be sniffed by unauthorized actors.","Many communication channels can be \"sniffed\" (monitored) by adversaries during data transmission. For example, in networking, packets can traverse many intermediary nodes from the source to the destination, whether across the internet, an internal network, the cloud, etc. Some actors might have privileged access to a network interface or any link along the channel, such as a router, but they might not be authorized to collect the underlying data. As a result, network traffic could be sniffed by adversaries, spilling security-critical data.\nApplicable communication channels are not limited to software products. Applicable channels include hardware-specific technologies such as internal hardware networks and external debug channels, supporting remote JTAG debugging. When mitigations are not applied to combat adversaries within the product's threat model, this weakness significantly lowers the difficulty of exploitation by such adversaries.\nWhen full communications are recorded or logged, such as with a packet dump, an adversary could attempt to obtain the dump long after the transmission has occurred and try to \"sniff\" the cleartext from the recorded communications in the dump itself. Even if the information is encoded in a way that is not human-readable, certain techniques could determine which encoding is being used, then decode the information.","Base",false,[],{"title":86,"metaDescription":87,"keywords":88,"canonicalUrl":89,"structuredData":90},"What is CVE-2023-3361? Vulnerability Analysis | Security Advisory | Precursor Intelligence","Comprehensive analysis of CVE-2023-3361, a high severity cyber security vulnerability from 2023. A flaw was found in Red Hat OpenShift Data Science. When exp...","CVE-2023-3361, CVE-2023-3361 vulnerability, CVE-2023-3361 security, high severity vulnerability, cybersecurity, vulnerability analysis, security advisory, CVE database, threat intelligence, security research, vulnerability assessment, cyber threats, 2023, CVSS score, exploit, patch, remediation, opendatahub security, redhat security, open_data_hub_dashboard vulnerability, openshift_data_science vulnerability","\u002Fwhat-is\u002Fcve-2023-3361",{"@context":91,"@type":92,"headline":86,"description":87,"datePublished":10,"dateModified":11,"author":93,"publisher":97,"about":101,"mainEntityOfPage":105,"articleSection":108,"keywords":109},"https:\u002F\u002Fschema.org","TechArticle",{"@type":94,"name":95,"url":96},"Organization","Precursor Intelligence","https:\u002F\u002Fprecursorintelligence.com",{"@type":94,"name":95,"url":96,"logo":98},{"@type":99,"url":100},"ImageObject","https:\u002F\u002Fprecursorintelligence.com\u002Fimg\u002Flogos\u002Feplogo.png",{"@type":102,"name":6,"description":103,"additionalType":104},"Thing","Cybersecurity Vulnerability","https:\u002F\u002Fschema.org\u002FSoftwareBug",{"@type":106,"@id":107},"WebPage","https:\u002F\u002Fprecursorintelligence.com\u002Fwhat-is\u002Fcve-2023-3361","Cybersecurity","CVE-2023-3361, CVE-2023-3361 vulnerability, CVE-2023-3361 security, high severity vulnerability, cybersecurity, vulnerability analysis, security advisory, CVE database, threat intelligence, security research",[111,119],{"Operator":26,"Negate":26,"Nodes":112},[113],{"Operator":114,"Negate":26,"CPEMatch":115},"OR",[116],{"Vulnerable":4,"Criteria":46,"MatchCriteriaID":117,"VersionStartExcluding":26,"VersionStartIncluding":26,"VersionEndExcluding":118,"VersionEndIncluding":26},"6767C5AA-B34C-40E7-9885-C09AA446D8BF","1.28.1",{"Operator":26,"Negate":26,"Nodes":120},[121],{"Operator":114,"Negate":26,"CPEMatch":122},[123],{"Vulnerable":4,"Criteria":51,"MatchCriteriaID":124,"VersionStartExcluding":26,"VersionStartIncluding":26,"VersionEndExcluding":26,"VersionEndIncluding":26},"B3F5FF1E-5DA3-4EC3-B41A-A362BDFC4C69",[],[],{"lastModified":11,"cacheTime":128,"version":129},1792353293473,"2.0",{"score":131,"band":132,"action":133,"scoredAt":134},46,"Medium","Plan remediation","2026-10-16T06:59:18.823268+00:00"]