[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f4FAJstbX4WqqMMr24-xTaHQIcQTuj83upEVPMTlg1vs":3,"g5a-risk:CVE-2019-16555":112},{"success":4,"data":5,"meta":110},true,{"cveId":6,"title":7,"description":8,"shortDescription":9,"publishedDate":10,"lastModified":11,"cvssScore":12,"cvssVector":13,"cvssMetrics":14,"epssScore":40,"epssPercentile":27,"epssTimeSeries":41,"severity":42,"affectedProducts":43,"affectedProductsCount":49,"references":50,"referencesCount":62,"weaknesses":63,"weaknessesCount":49,"isActivelyExploited":72,"cisaInfo":27,"otxData":27,"relatedBlogPosts":73,"seoMetadata":74,"configurations":99,"relatedVendorCves":108,"notableEvents":109},"CVE-2019-16555","What is CVE-2019-16555?","A user-supplied regular expression in Jenkins Build Failure Analyzer Plugin 1.24.1 and earlier was processed in a way that wasn't interruptible, allowing attackers to have Jenkins evaluate a regular expression without the ability to interrupt this process.","A user-supplied regular expression in Jenkins Build Failure Analyzer Plugin 1.24.1 and earlier was processed in a way that wasn't interruptible, allowing att...","2019-12-17T15:15:16.707","2023-10-25T18:16:27.077",6.5,"CVSS:3.1\u002FAV:N\u002FAC:L\u002FPR:L\u002FUI:N\u002FS:U\u002FC:N\u002FI:N\u002FA:H",{"CVSSMetricV31":15,"CVSSMetricV30":27,"CVSSMetricV2":30,"CVSSMetricV40":27},[16],{"Source":17,"Type":18,"CVSSData":19,"ExploitabilityScore":28,"ImpactScore":29},"nvd@nist.gov","Primary",{"Version":20,"VectorString":13,"AttackVector":21,"AttackComplexity":22,"PrivilegesRequired":22,"UserInteraction":23,"Scope":24,"ConfidentialityImpact":23,"IntegrityImpact":23,"AvailabilityImpact":25,"BaseScore":12,"BaseSeverity":26,"ExploitCodeMaturity":27,"RemediationLevel":27,"ReportConfidence":27,"TemporalScore":27,"TemporalSeverity":27,"ConfidentialityRequirement":27,"IntegrityRequirement":27,"AvailabilityRequirement":25,"ModifiedAttackVector":27,"ModifiedAttackComplexity":27,"ModifiedPrivilegesRequired":27,"ModifiedUserInteraction":27,"ModifiedScope":27,"ModifiedConfidentialityImpact":27,"ModifiedIntegrityImpact":27,"ModifiedAvailabilityImpact":27,"EnvironmentalScore":27,"EnvironmentalSeverity":27},"3.1","NETWORK","LOW","NONE","UNCHANGED","HIGH","MEDIUM",null,2.8,3.6,[31],{"Source":17,"Type":18,"CVSSData":32,"BaseSeverity":26,"ExploitabilityScore":38,"ImpactScore":39,"ACInsufInfo":27,"ObtainAllPrivilege":27,"ObtainUserPrivilege":27,"ObtainOtherPrivilege":27,"UserInteractionRequired":27},{"Version":33,"VectorString":34,"AccessVector":21,"AccessComplexity":22,"Authentication":35,"ConfidentialityImpact":23,"IntegrityImpact":23,"AvailabilityImpact":36,"BaseScore":37,"BaseSeverity":27,"Exploitability":27,"RemediationLevel":27,"ReportConfidence":27,"TemporalScore":27,"CollateralDamagePotential":27,"TargetDistribution":27,"ConfidentialityRequirement":27,"IntegrityRequirement":27,"AvailabilityRequirement":27,"EnvironmentalScore":27},"2.0","AV:N\u002FAC:L\u002FAu:S\u002FC:N\u002FI:N\u002FA:P","SINGLE","PARTIAL",4,8,2.9,0.01076,[40,40,40,40,40,40,40],"Medium",[44],{"vendor":45,"product":46,"version":47,"criteria":48,"vulnerable":4},"jenkins","build_failure_analyzer","*","cpe:2.3:a:jenkins:build_failure_analyzer:*:*:*:*:*:jenkins:*:*",1,[51,57],{"url":52,"source":53,"tags":54},"http:\u002F\u002Fwww.openwall.com\u002Flists\u002Foss-security\u002F2019\u002F12\u002F17\u002F1","Openwall",[55,56],"Mailing List","Third Party Advisory",{"url":58,"source":59,"tags":60},"https:\u002F\u002Fjenkins.io\u002Fsecurity\u002Fadvisory\u002F2019-12-17\u002F#SECURITY-1651","Jenkins",[61],"Vendor Advisory",2,[64],{"id":65,"name":66,"description":67,"extendedDescription":68,"status":69,"abstraction":70,"structure":71},"CWE-400","Uncontrolled Resource Consumption","The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.","Limited resources include memory, file system storage, database connection pool entries, and CPU. If an attacker can trigger the allocation of these limited resources, but the number or size of the resources is not controlled, then the attacker could cause a denial of service that consumes all available resources. This would prevent valid users from accessing the product, and it could potentially have an impact on the surrounding environment. For example, a memory exhaustion attack against an application could slow down the application as well as its host operating system.\nThere are at least three distinct scenarios which can commonly lead to resource exhaustion:\nResource exhaustion problems are often result due to an incorrect implementation of the following situations:","Draft","Class","Simple",false,[],{"title":75,"metaDescription":76,"keywords":77,"canonicalUrl":78,"structuredData":79},"What is CVE-2019-16555? Vulnerability Analysis | Security Advisory | Precursor Intelligence","Comprehensive analysis of CVE-2019-16555, a medium severity cyber security vulnerability from 2019. 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