[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fz1JqOsYi5HCCALkdh8q0n_m8Nh39nTWcR88cKbxwlww":3,"g5a-risk:CVE-2025-3937":165},{"success":4,"data":5,"meta":162},true,{"cveId":6,"title":7,"description":8,"shortDescription":9,"publishedDate":10,"lastModified":11,"cvssScore":12,"cvssVector":13,"cvssMetrics":14,"epssScore":41,"epssPercentile":28,"epssTimeSeries":42,"severity":43,"affectedProducts":44,"affectedProductsCount":77,"references":78,"referencesCount":89,"weaknesses":90,"weaknessesCount":99,"isActivelyExploited":68,"cisaInfo":28,"otxData":28,"relatedBlogPosts":100,"seoMetadata":101,"configurations":126,"relatedVendorCves":153,"notableEvents":154},"CVE-2025-3937","What is CVE-2025-3937?","Use of Password Hash With Insufficient Computational Effort vulnerability in Tridium Niagara Framework on Windows, Linux, QNX, Tridium Niagara Enterprise Security on Windows, Linux, QNX allows Cryptanalysis. This issue affects Niagara Framework: before 4.14.2, before 4.15.1, before 4.10.11; Niagara Enterprise Security: before 4.14.2, before 4.15.1, before 4.10.11. Tridium recommends upgrading to Niagara Framework and Enterprise Security versions 4.14.2u2, 4.15.u1, or 4.10u.11.","Use of Password Hash With Insufficient Computational Effort vulnerability in Tridium Niagara Framework on Windows, Linux, QNX, Tridium Niagara Enterprise Sec...","2025-05-22T13:15:56.457","2025-06-04T19:52:59.573",9.8,"CVSS:3.1\u002FAV:N\u002FAC:L\u002FPR:N\u002FUI:N\u002FS:U\u002FC:H\u002FI:H\u002FA:H",{"CVSSMetricV31":15,"CVSSMetricV30":39,"CVSSMetricV2":40,"CVSSMetricV40":28},[16,31],{"Source":17,"Type":18,"CVSSData":19,"ExploitabilityScore":29,"ImpactScore":30},"psirt@honeywell.com","Secondary",{"Version":20,"VectorString":21,"AttackVector":22,"AttackComplexity":23,"PrivilegesRequired":23,"UserInteraction":24,"Scope":25,"ConfidentialityImpact":26,"IntegrityImpact":24,"AvailabilityImpact":24,"BaseScore":27,"BaseSeverity":26,"ExploitCodeMaturity":28,"RemediationLevel":28,"ReportConfidence":28,"TemporalScore":28,"TemporalSeverity":28,"ConfidentialityRequirement":28,"IntegrityRequirement":28,"AvailabilityRequirement":28,"ModifiedAttackVector":28,"ModifiedAttackComplexity":28,"ModifiedPrivilegesRequired":28,"ModifiedUserInteraction":28,"ModifiedScope":28,"ModifiedConfidentialityImpact":28,"ModifiedIntegrityImpact":28,"ModifiedAvailabilityImpact":28,"EnvironmentalScore":28,"EnvironmentalSeverity":28},"3.1","CVSS:3.1\u002FAV:N\u002FAC:L\u002FPR:L\u002FUI:N\u002FS:C\u002FC:H\u002FI:N\u002FA:N","NETWORK","LOW","NONE","CHANGED","HIGH",7.7,null,3.1,4,{"Source":32,"Type":33,"CVSSData":34,"ExploitabilityScore":37,"ImpactScore":38},"nvd@nist.gov","Primary",{"Version":20,"VectorString":13,"AttackVector":22,"AttackComplexity":23,"PrivilegesRequired":24,"UserInteraction":24,"Scope":35,"ConfidentialityImpact":26,"IntegrityImpact":26,"AvailabilityImpact":26,"BaseScore":12,"BaseSeverity":36,"ExploitCodeMaturity":28,"RemediationLevel":28,"ReportConfidence":28,"TemporalScore":28,"TemporalSeverity":28,"ConfidentialityRequirement":28,"IntegrityRequirement":28,"AvailabilityRequirement":28,"ModifiedAttackVector":28,"ModifiedAttackComplexity":28,"ModifiedPrivilegesRequired":28,"ModifiedUserInteraction":28,"ModifiedScope":28,"ModifiedConfidentialityImpact":28,"ModifiedIntegrityImpact":28,"ModifiedAvailabilityImpact":28,"EnvironmentalScore":28,"EnvironmentalSeverity":28},"UNCHANGED","CRITICAL",3.9,5.9,[],[],0.00355,[41,41,41,41,41,41,41],"Critical",[45,50,53,56,59,61,63,69,73],{"vendor":46,"product":47,"version":48,"criteria":49,"vulnerable":4},"tridium","niagara","4.10u10","cpe:2.3:a:tridium:niagara:4.10u10:*:*:*:*:*:*:*",{"vendor":46,"product":47,"version":51,"criteria":52,"vulnerable":4},"4.14u1","cpe:2.3:a:tridium:niagara:4.14u1:*:*:*:*:*:*:*",{"vendor":46,"product":47,"version":54,"criteria":55,"vulnerable":4},"4.15","cpe:2.3:a:tridium:niagara:4.15:*:*:*:*:*:*:*",{"vendor":46,"product":57,"version":48,"criteria":58,"vulnerable":4},"niagara_enterprise_security","cpe:2.3:a:tridium:niagara_enterprise_security:4.10u10:*:*:*:*:*:*:*",{"vendor":46,"product":57,"version":51,"criteria":60,"vulnerable":4},"cpe:2.3:a:tridium:niagara_enterprise_security:4.14u1:*:*:*:*:*:*:*",{"vendor":46,"product":57,"version":54,"criteria":62,"vulnerable":4},"cpe:2.3:a:tridium:niagara_enterprise_security:4.15:*:*:*:*:*:*:*",{"vendor":64,"product":65,"version":66,"criteria":67,"vulnerable":68},"blackberry","qnx","-","cpe:2.3:o:blackberry:qnx:-:*:*:*:*:*:*:*",false,{"vendor":70,"product":71,"version":66,"criteria":72,"vulnerable":68},"linux","linux_kernel","cpe:2.3:o:linux:linux_kernel:-:*:*:*:*:*:*:*",{"vendor":74,"product":75,"version":66,"criteria":76,"vulnerable":68},"microsoft","windows","cpe:2.3:o:microsoft:windows:-:*:*:*:*:*:*:*",9,[79,84],{"url":80,"source":81,"tags":82},"https:\u002F\u002Fdocs.niagara-community.com\u002Fcategory\u002Ftech_bull","Niagara-community",[83],"Permissions Required",{"url":85,"source":86,"tags":87},"https:\u002F\u002Fwww.honeywell.com\u002Fus\u002Fen\u002Fproduct-security#security-notices","Honeywell",[88],"Vendor Advisory",2,[91],{"id":92,"name":93,"description":94,"extendedDescription":95,"status":96,"abstraction":97,"structure":98},"CWE-916","Use of Password Hash With Insufficient Computational Effort","The product generates a hash for a password, but it uses a scheme that does not provide a sufficient level of computational effort that would make password cracking attacks infeasible or expensive.","Many password storage mechanisms compute a hash and store the hash, instead of storing the original password in plaintext. In this design, authentication involves accepting an incoming password, computing its hash, and comparing it to the stored hash.\nMany hash algorithms are designed to execute quickly with minimal overhead, even cryptographic hashes. However, this efficiency is a problem for password storage, because it can reduce an attacker's workload for brute-force password cracking. If an attacker can obtain the hashes through some other method (such as SQL injection on a database that stores hashes), then the attacker can store the hashes offline and use various techniques to crack the passwords by computing hashes efficiently. Without a built-in workload, modern attacks can compute large numbers of hashes, or even exhaust the entire space of all possible passwords, within a very short amount of time, using massively-parallel computing (such as cloud computing) and GPU, ASIC, or FPGA hardware. In such a scenario, an efficient hash algorithm helps the attacker.\nThere are several properties of a hash scheme that are relevant to its strength against an offline, massively-parallel attack:\nNote that the security requirements for the product may vary depending on the environment and the value of the passwords. Different schemes might not provide all of these properties, yet may still provide sufficient security for the environment. Conversely, a solution might be very strong in preserving one property, which still being very weak for an attack against another property, or it might not be able to significantly reduce the efficiency of a massively-parallel attack.","Incomplete","Base","Simple",1,[],{"title":102,"metaDescription":103,"keywords":104,"canonicalUrl":105,"structuredData":106},"What is CVE-2025-3937? Vulnerability Analysis | Security Advisory | Precursor Intelligence","Comprehensive analysis of CVE-2025-3937, a critical severity cyber security vulnerability from 2025. Use of Password Hash With Insufficient Computational Eff...","CVE-2025-3937, CVE-2025-3937 vulnerability, CVE-2025-3937 security, critical severity vulnerability, cybersecurity, vulnerability analysis, security advisory, CVE database, threat intelligence, security research, vulnerability assessment, cyber threats, 2025, CVSS score, exploit, patch, remediation, tridium security, blackberry security, linux security, microsoft security, niagara vulnerability, niagara_enterprise_security vulnerability, qnx vulnerability, linux_kernel vulnerability","\u002Fwhat-is\u002Fcve-2025-3937",{"@context":107,"@type":108,"headline":102,"description":103,"datePublished":10,"dateModified":11,"author":109,"publisher":113,"about":117,"mainEntityOfPage":121,"articleSection":124,"keywords":125},"https:\u002F\u002Fschema.org","TechArticle",{"@type":110,"name":111,"url":112},"Organization","Precursor Intelligence","https:\u002F\u002Fprecursorintelligence.com",{"@type":110,"name":111,"url":112,"logo":114},{"@type":115,"url":116},"ImageObject","https:\u002F\u002Fprecursorintelligence.com\u002Fimg\u002Flogos\u002Feplogo.png",{"@type":118,"name":6,"description":119,"additionalType":120},"Thing","Cybersecurity Vulnerability","https:\u002F\u002Fschema.org\u002FSoftwareBug",{"@type":122,"@id":123},"WebPage","https:\u002F\u002Fprecursorintelligence.com\u002Fwhat-is\u002Fcve-2025-3937","Cybersecurity","CVE-2025-3937, CVE-2025-3937 vulnerability, CVE-2025-3937 security, critical severity vulnerability, cybersecurity, vulnerability analysis, security advisory, CVE database, threat intelligence, security research",[127],{"Operator":128,"Negate":28,"Nodes":129},"AND",[130,145],{"Operator":131,"Negate":68,"CPEMatch":132},"OR",[133,135,137,139,141,143],{"Vulnerable":4,"Criteria":49,"MatchCriteriaID":134,"VersionStartExcluding":28,"VersionStartIncluding":28,"VersionEndExcluding":28,"VersionEndIncluding":28},"0615B9FA-E837-4C21-8968-F3273718DF7D",{"Vulnerable":4,"Criteria":52,"MatchCriteriaID":136,"VersionStartExcluding":28,"VersionStartIncluding":28,"VersionEndExcluding":28,"VersionEndIncluding":28},"BEE26A6F-876E-450D-8A5F-EF4A3EF96A13",{"Vulnerable":4,"Criteria":55,"MatchCriteriaID":138,"VersionStartExcluding":28,"VersionStartIncluding":28,"VersionEndExcluding":28,"VersionEndIncluding":28},"00C6667A-9873-4A75-AB11-3427AA1E552D",{"Vulnerable":4,"Criteria":58,"MatchCriteriaID":140,"VersionStartExcluding":28,"VersionStartIncluding":28,"VersionEndExcluding":28,"VersionEndIncluding":28},"E694C4DB-66F7-4753-81D8-9085B5E3A207",{"Vulnerable":4,"Criteria":60,"MatchCriteriaID":142,"VersionStartExcluding":28,"VersionStartIncluding":28,"VersionEndExcluding":28,"VersionEndIncluding":28},"506E75F5-D259-4BAC-9C1A-83C9AD54D608",{"Vulnerable":4,"Criteria":62,"MatchCriteriaID":144,"VersionStartExcluding":28,"VersionStartIncluding":28,"VersionEndExcluding":28,"VersionEndIncluding":28},"6DF70636-5B89-4646-80F3-83C906B0EB3C",{"Operator":131,"Negate":68,"CPEMatch":146},[147,149,151],{"Vulnerable":68,"Criteria":67,"MatchCriteriaID":148,"VersionStartExcluding":28,"VersionStartIncluding":28,"VersionEndExcluding":28,"VersionEndIncluding":28},"3642981A-848E-4DEA-A904-A83B9ED4891D",{"Vulnerable":68,"Criteria":72,"MatchCriteriaID":150,"VersionStartExcluding":28,"VersionStartIncluding":28,"VersionEndExcluding":28,"VersionEndIncluding":28},"703AF700-7A70-47E2-BC3A-7FD03B3CA9C1",{"Vulnerable":68,"Criteria":76,"MatchCriteriaID":152,"VersionStartExcluding":28,"VersionStartIncluding":28,"VersionEndExcluding":28,"VersionEndIncluding":28},"A2572D17-1DE6-457B-99CC-64AFD54487EA",[],[155],{"id":156,"eventType":157,"eventTime":158,"details":159,"label":160,"color":161},"83809084-3335-493a-aeef-4cde376878bf","NEW_NVD","2025-06-09T22:28:52.581781+00:00","New CVE added to NVD","Published to NVD","blue",{"lastModified":11,"cacheTime":163,"version":164},1792375441751,"2.0",{"score":166,"band":167,"action":168,"scoredAt":169},54,"Medium","Plan remediation","2026-10-16T07:07:24.967614+00:00"]