[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fDCuMicVQkmctFFe4iitKBXy-WmX-kIUqRJWz71TYjI4":3,"g5a-risk:CVE-2020-11616":115},{"success":4,"data":5,"meta":113},true,{"cveId":6,"title":7,"description":8,"shortDescription":9,"publishedDate":10,"lastModified":11,"cvssScore":12,"cvssVector":13,"cvssMetrics":14,"epssScore":39,"epssPercentile":26,"epssTimeSeries":40,"severity":41,"affectedProducts":42,"affectedProductsCount":53,"references":54,"referencesCount":60,"weaknesses":61,"weaknessesCount":60,"isActivelyExploited":70,"cisaInfo":26,"otxData":26,"relatedBlogPosts":71,"seoMetadata":72,"configurations":97,"relatedVendorCves":111,"notableEvents":112},"CVE-2020-11616","What is CVE-2020-11616?","NVIDIA DGX servers, all BMC firmware versions prior to 3.38.30, contain a vulnerability in the AMI BMC firmware in which the Pseudo-Random Number Generator (PRNG) algorithm used in the JSOL package that implements the IPMI protocol is not cryptographically strong, which may lead to information disclosure.","NVIDIA DGX servers, all BMC firmware versions prior to 3.38.30, contain a vulnerability in the AMI BMC firmware in which the Pseudo-Random Number Generator (...","2020-10-29T04:15:11.89","2021-07-21T11:39:23.747",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":29,"CVSSMetricV40":26},[16],{"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,[30],{"Source":17,"Type":18,"CVSSData":31,"BaseSeverity":36,"ExploitabilityScore":37,"ImpactScore":38,"ACInsufInfo":26,"ObtainAllPrivilege":26,"ObtainUserPrivilege":26,"ObtainOtherPrivilege":26,"UserInteractionRequired":26},{"Version":32,"VectorString":33,"AccessVector":21,"AccessComplexity":22,"Authentication":23,"ConfidentialityImpact":34,"IntegrityImpact":23,"AvailabilityImpact":23,"BaseScore":35,"BaseSeverity":26,"Exploitability":26,"RemediationLevel":26,"ReportConfidence":26,"TemporalScore":26,"CollateralDamagePotential":26,"TargetDistribution":26,"ConfidentialityRequirement":26,"IntegrityRequirement":26,"AvailabilityRequirement":26,"EnvironmentalScore":26},"2.0","AV:N\u002FAC:L\u002FAu:N\u002FC:P\u002FI:N\u002FA:N","PARTIAL",5,"MEDIUM",10,2.9,0.01332,[39,39,39,39,39,39,39],"High",[43,48],{"vendor":44,"product":45,"version":46,"criteria":47,"vulnerable":4},"intel","bmc_firmware","*","cpe:2.3:o:intel:bmc_firmware:*:*:*:*:*:*:*:*",{"vendor":49,"product":50,"version":51,"criteria":52,"vulnerable":4},"nvidia","dgx-1","-","cpe:2.3:h:nvidia:dgx-1:-:*:*:*:*:*:*:*",2,[55],{"url":56,"source":57,"tags":58},"https:\u002F\u002Fnvidia.custhelp.com\u002Fapp\u002Fanswers\u002Fdetail\u002Fa_id\u002F5010","Custhelp",[59],"Vendor Advisory",1,[62],{"id":63,"name":64,"description":65,"extendedDescription":66,"status":67,"abstraction":68,"structure":69},"CWE-338","Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)","The product uses a Pseudo-Random Number Generator (PRNG) in a security context, but the PRNG's algorithm is not cryptographically strong.","When a non-cryptographic PRNG is used in a cryptographic context, it can expose the cryptography to certain types of attacks.\nOften a pseudo-random number generator (PRNG) is not designed for cryptography. Sometimes a mediocre source of randomness is sufficient or preferable for algorithms that use random numbers. Weak generators generally take less processing power and\u002For do not use the precious, finite, entropy sources on a system. While such PRNGs might have very useful features, these same features could be used to break the cryptography.","Draft","Base","Simple",false,[],{"title":73,"metaDescription":74,"keywords":75,"canonicalUrl":76,"structuredData":77},"What is CVE-2020-11616? Vulnerability Analysis | Security Advisory | Precursor Intelligence","Comprehensive analysis of CVE-2020-11616, a high severity cyber security vulnerability from 2020. NVIDIA DGX servers, all BMC firmware versions prior to 3.38...","CVE-2020-11616, CVE-2020-11616 vulnerability, CVE-2020-11616 security, high severity vulnerability, cybersecurity, vulnerability analysis, security advisory, CVE database, threat intelligence, security research, vulnerability assessment, cyber threats, 2020, CVSS score, exploit, patch, remediation, intel security, nvidia security, bmc_firmware vulnerability, dgx-1 vulnerability","\u002Fwhat-is\u002Fcve-2020-11616",{"@context":78,"@type":79,"headline":73,"description":74,"datePublished":10,"dateModified":11,"author":80,"publisher":84,"about":88,"mainEntityOfPage":92,"articleSection":95,"keywords":96},"https:\u002F\u002Fschema.org","TechArticle",{"@type":81,"name":82,"url":83},"Organization","Precursor Intelligence","https:\u002F\u002Fprecursorintelligence.com",{"@type":81,"name":82,"url":83,"logo":85},{"@type":86,"url":87},"ImageObject","https:\u002F\u002Fprecursorintelligence.com\u002Fimg\u002Flogos\u002Feplogo.png",{"@type":89,"name":6,"description":90,"additionalType":91},"Thing","Cybersecurity Vulnerability","https:\u002F\u002Fschema.org\u002FSoftwareBug",{"@type":93,"@id":94},"WebPage","https:\u002F\u002Fprecursorintelligence.com\u002Fwhat-is\u002Fcve-2020-11616","Cybersecurity","CVE-2020-11616, CVE-2020-11616 vulnerability, CVE-2020-11616 security, high severity vulnerability, cybersecurity, vulnerability analysis, security advisory, CVE database, threat intelligence, security research",[98],{"Operator":99,"Negate":26,"Nodes":100},"AND",[101,107],{"Operator":102,"Negate":26,"CPEMatch":103},"OR",[104],{"Vulnerable":4,"Criteria":47,"MatchCriteriaID":105,"VersionStartExcluding":26,"VersionStartIncluding":26,"VersionEndExcluding":106,"VersionEndIncluding":26},"B2270B8F-DF8A-4137-B7B2-22810CD06E8F","3.38.30",{"Operator":102,"Negate":26,"CPEMatch":108},[109],{"Vulnerable":26,"Criteria":52,"MatchCriteriaID":110,"VersionStartExcluding":26,"VersionStartIncluding":26,"VersionEndExcluding":26,"VersionEndIncluding":26},"F6B88743-AF2B-4EB6-B991-85D58C654678",[],[],{"lastModified":11,"cacheTime":114,"version":32},1792248548064,{"score":116,"band":117,"action":118,"scoredAt":119},47,"Medium","Plan remediation","2026-10-16T06:49:46.725403+00:00"]