<p>事件响应和安全团队论坛(FIRST)正式发布了CVSS v4.0,这是其在发布通用漏洞评分系统标准CVSS v3.0 八年后发布的新一版标准。</p><p>CVSS是一个用于评估软件安全漏洞严重性的标准化框架,用于根据可利用性、对机密性的影响、完整性、可用性和所需特权的影响分配数值分数或定性表示(例如低、中、高和严重),分数越高表示更严重的漏洞。</p><p>这份标准有助于优先考虑对安全威胁的响应,并提供了一种统一的方法来评估漏洞的影响,并比较不同系统和软件之间的风险。</p><p>最新版本的CVSS 4.0旨在为行业和公众提供更高保真度的漏洞评估。</p><p>FIRST表示:“修订后的标准为消费者提供了更细粒度的基本指标,消除了下游评分的模糊性,简化了威胁指标,提高了评估特定环境安全需求和补偿控制的有效性。”</p><p>该标准的最新修订通过提供几个漏洞评估补充指标来解决前一版本中的一些缺点,例如安全性 (S)、可自动化 (A)、恢复 (R)、价值密度 (V)、漏洞响应工作 (RE) 和提供商紧迫性 (U)。</p><p>“CVSS v4.0的一个关键增强功能是对OT/ICS/IoT的额外适用性,在补充和环境指标组中添加了安全指标和值。”</p><p>最新版本还添加了新的命名法,包括基础指标 (CVSS-B)、基础指标 + 威胁指标 (CVSS-BT)、基础指标 + 环境指标 (CVSS-BE) 和基础指标 + 威胁指标+ 环境指标 (CVSS-BTE) 严重性等级。</p><p style="text-align: center;"><img 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" style="max-width:100%;" class=""><br></p><p>FIRST表示,这个想法是“强化CVSS不仅仅是基本分数的概念”,并补充说“只要显示或传达CVSS数字值,就应该使用这种命名法。“CVSS基本分数应辅以对环境的分析(环境指标)以及可能随时间变化的属性(威胁指标)。</p><p>了解更多通用漏洞评分系统 4.0 版规范文档:</p><p>https://www.first.org/cvss/specification-document</p><p>中科天齐<a href="https://www.woocoom.com" target="_blank"><font color="#c24f4a">WuKong静态软件安全测试工具</font></a>,具有自主专利技术,能够检测源代码安全漏洞、运行时缺陷和编码规则规范。</p><p>支持支持C、C++、JAVA、Python、PHP、JSP、JS、HTML、Go、XML、C#等主流开发语言检测,支持标准包括国家标准GB/T34943、GB/T34944、行业标准SJ/T 11682-2017、SJ/T 11683-2017,国军标规范 GJB5369,GJB8114等和国际标准OWASP Top 10、CWE Top 25、Cert C、ISO17961。</p><p><!--StartFragment--> <!--EndFragment--></p><p>支持国产芯片、操作系统及数据库,对鲲鹏、飞腾、龙芯、海光、人大金仓等有很好的兼容性。</p>