[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fK7G5-PVutpRTPa-PuaXt-dep8noeN0zuNGKNPGt8OP8":3,"g5a-risk:CVE-2020-7212":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":38,"epssPercentile":26,"epssTimeSeries":39,"severity":40,"affectedProducts":41,"affectedProductsCount":47,"references":48,"referencesCount":64,"weaknesses":65,"weaknessesCount":47,"isActivelyExploited":74,"cisaInfo":26,"otxData":26,"relatedBlogPosts":75,"seoMetadata":76,"configurations":101,"relatedVendorCves":111,"notableEvents":112},"CVE-2020-7212","What is CVE-2020-7212?","The _encode_invalid_chars function in util\u002Furl.py in the urllib3 library 1.25.2 through 1.25.7 for Python allows a denial of service (CPU consumption) because of an inefficient algorithm. The percent_encodings array contains all matches of percent encodings. It is not deduplicated. For a URL of length N, the size of percent_encodings may be up to O(N). The next step (normalize existing percent-encoded bytes) also takes up to O(N) for each step, so the total time is O(N^2). If percent_encodings were deduplicated, the time to compute _encode_invalid_chars would be O(kN), where k is at most 484 ((10+6*2)^2).","The _encode_invalid_chars function in util\u002Furl.py in the urllib3 library 1.25.2 through 1.25.7 for Python allows a denial of service (CPU consumption) becaus...","2020-03-06T20:15:12.707","2020-03-09T16:55:14.563",7.5,"CVSS:3.1\u002FAV:N\u002FAC:L\u002FPR:N\u002FUI:N\u002FS:U\u002FC:N\u002FI:N\u002FA:H",{"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":23,"IntegrityImpact":23,"AvailabilityImpact":25,"BaseScore":12,"BaseSeverity":25,"ExploitCodeMaturity":26,"RemediationLevel":26,"ReportConfidence":26,"TemporalScore":26,"TemporalSeverity":26,"ConfidentialityRequirement":26,"IntegrityRequirement":26,"AvailabilityRequirement":25,"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":25,"ExploitabilityScore":36,"ImpactScore":37,"ACInsufInfo":26,"ObtainAllPrivilege":26,"ObtainUserPrivilege":26,"ObtainOtherPrivilege":26,"UserInteractionRequired":26},{"Version":32,"VectorString":33,"AccessVector":21,"AccessComplexity":22,"Authentication":23,"ConfidentialityImpact":23,"IntegrityImpact":23,"AvailabilityImpact":34,"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:N\u002FI:N\u002FA:C","COMPLETE",7.8,10,6.9,0.03371,[38,38,38,38,38,38,38],"High",[42],{"vendor":43,"product":44,"version":45,"criteria":46,"vulnerable":4},"python","urllib3","*","cpe:2.3:a:python:urllib3:*:*:*:*:*:*:*:*",1,[49,55,59],{"url":50,"source":51,"tags":52},"https:\u002F\u002Fgithub.com\u002Furllib3\u002Furllib3\u002Fblob\u002Fmaster\u002FCHANGES.rst","GitHub",[53,54],"Release Notes","Third Party Advisory",{"url":56,"source":51,"tags":57},"https:\u002F\u002Fgithub.com\u002Furllib3\u002Furllib3\u002Fcommit\u002Fa74c9cfbaed9f811e7563cfc3dce894928e0221a",[58,54],"Patch",{"url":60,"source":61,"tags":62},"https:\u002F\u002Fpypi.org\u002Fproject\u002Furllib3\u002F1.25.8\u002F","Pypi",[53,63],"Vendor Advisory",3,[66],{"id":67,"name":68,"description":69,"extendedDescription":70,"status":71,"abstraction":72,"structure":73},"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":77,"metaDescription":78,"keywords":79,"canonicalUrl":80,"structuredData":81},"What is CVE-2020-7212? Vulnerability Analysis | Security Advisory | Precursor Intelligence","Comprehensive analysis of CVE-2020-7212, a high severity cyber security vulnerability from 2020. The _encode_invalid_chars function in util\u002Furl.py in the url...","CVE-2020-7212, CVE-2020-7212 vulnerability, CVE-2020-7212 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, python security, urllib3 vulnerability","\u002Fwhat-is\u002Fcve-2020-7212",{"@context":82,"@type":83,"headline":77,"description":78,"datePublished":10,"dateModified":11,"author":84,"publisher":88,"about":92,"mainEntityOfPage":96,"articleSection":99,"keywords":100},"https:\u002F\u002Fschema.org","TechArticle",{"@type":85,"name":86,"url":87},"Organization","Precursor Intelligence","https:\u002F\u002Fprecursorintelligence.com",{"@type":85,"name":86,"url":87,"logo":89},{"@type":90,"url":91},"ImageObject","https:\u002F\u002Fprecursorintelligence.com\u002Fimg\u002Flogos\u002Feplogo.png",{"@type":93,"name":6,"description":94,"additionalType":95},"Thing","Cybersecurity Vulnerability","https:\u002F\u002Fschema.org\u002FSoftwareBug",{"@type":97,"@id":98},"WebPage","https:\u002F\u002Fprecursorintelligence.com\u002Fwhat-is\u002Fcve-2020-7212","Cybersecurity","CVE-2020-7212, CVE-2020-7212 vulnerability, CVE-2020-7212 security, high severity vulnerability, cybersecurity, vulnerability analysis, security advisory, CVE database, threat intelligence, security research",[102],{"Operator":26,"Negate":26,"Nodes":103},[104],{"Operator":105,"Negate":26,"CPEMatch":106},"OR",[107],{"Vulnerable":4,"Criteria":46,"MatchCriteriaID":108,"VersionStartExcluding":26,"VersionStartIncluding":109,"VersionEndExcluding":26,"VersionEndIncluding":110},"C6E2E571-FF01-4577-BEE4-CD2F2448A06E","1.25.2","1.25.7",[],[],{"lastModified":11,"cacheTime":114,"version":32},1792264681301,{"score":116,"band":117,"action":118,"scoredAt":119},48,"Medium","Plan remediation","2026-10-16T06:48:01.791269+00:00"]