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    • 4. 发明授权
    • Method and system for automatic invariant byte sequence discovery for generic detection
    • 用于一般检测的自动不变字节序列发现的方法和系统
    • US08555382B2
    • 2013-10-08
    • US12820717
    • 2010-06-22
    • Irene MichlinAnthony Vaughan Bartram
    • Irene MichlinAnthony Vaughan Bartram
    • G06F11/00
    • G06F21/564
    • A method for creating a set of genericized signatures for detection of byte sequences in computer code includes accessing a first set of sample signatures, determining a maximum number of wildcards that a wildcarded signature may comprise, determining a first wildcarded signature corresponding to the first set of sample signatures, evaluating the first wildcarded signature, and repeating the steps of evaluating for any second wildcarded signatures. Each of the signatures corresponds to an instance of malware. The evaluation further includes if the number of wildcards in the first wildcarded signature exceeds the maximum number of wildcards, determining a plurality of second wildcarded signatures corresponding to a plurality of subsets of the set of sample signatures. The evaluation further includes if the number of wildcards in the first wildcarded signature is less than or equal to the maximum number of wildcards, adding the first wildcarded signature to a set of genericized signatures.
    • 用于创建用于检测计算机代码中的字节序列的一组通用签名的方法包括访问第一组样本签名,确定通配签​​名可以包含的通配符的最大数量,确定与第一组通配符相对应的第一通配签名 样本签名,评估第一个通配符号,并重复评估任何第二个通配签名的步骤。 每个签名对应于恶意软件的实例。 评估还包括如果第一通配签名中的通配符的数量超过通配符的最大数量,则确定与该组样本签名的多个子集相对应的多个第二通配签名。 评估还包括如果第一通配符号中的通配符的数量小于或等于通配符的最大数目,则将第一通配符号添加到一组通用签名。
    • 5. 发明申请
    • METHOD AND SYSTEM FOR AUTOMATIC INVARIANT BYTE SEQUENCE DISCOVERY FOR GENERIC DETECTION
    • 用于通用检测的自动不定期字节序列发现的方法和系统
    • US20110314545A1
    • 2011-12-22
    • US12820717
    • 2010-06-22
    • Irene MichlinAnthony Vaughan Bartram
    • Irene MichlinAnthony Vaughan Bartram
    • G06F11/00G06F21/00
    • G06F21/564
    • A method for creating a set of genericized signatures for detection of byte sequences in computer code includes accessing a first set of sample signatures, determining a maximum number of wildcards that a wildcarded signature may comprise, determining a first wildcarded signature corresponding to the first set of sample signatures, evaluating the first wildcarded signature, and repeating the steps of evaluating for any second wildcarded signatures. Each of the signatures corresponds to an instance of malware. The evaluation further includes if the number of wildcards in the first wildcarded signature exceeds the maximum number of wildcards, determining a plurality of second wildcarded signatures corresponding to a plurality of subsets of the set of sample signatures. The evaluation further includes if the number of wildcards in the first wildcarded signature is less than or equal to the maximum number of wildcards, adding the first wildcarded signature to a set of genericized signatures.
    • 用于创建用于检测计算机代码中的字节序列的一组通用签名的方法包括访问第一组样本签名,确定通配签​​名可以包含的通配符的最大数量,确定与第一组通配符相对应的第一通配签名 样本签名,评估第一个通配符号,并重复评估任何第二个通配符号的步骤。 每个签名对应于恶意软件的实例。 评估还包括如果第一通配签名中的通配符的数量超过通配符的最大数量,则确定与该组样本签名的多个子集相对应的多个第二通配签名。 评估还包括如果第一通配符号中的通配符的数量小于或等于通配符的最大数目,则将第一通配符号添加到一组通用签名。
    • 6. 发明申请
    • METHOD AND SYSTEM FOR DISCOVERING LARGE CLUSTERS OF FILES THAT SHARE SIMILAR CODE TO DEVELOP GENERIC DETECTIONS OF MALWARE
    • 发现大型文件集的方法和系统,分类类似代码,以开发恶意代码的一般检测
    • US20110219002A1
    • 2011-09-08
    • US12718683
    • 2010-03-05
    • Anthony Vaughan BartramAdrian M. Dunbar
    • Anthony Vaughan BartramAdrian M. Dunbar
    • G06F17/30
    • G06K9/6215
    • A computer-implemented method for determining similarities between system executable objects includes the steps of determining with one or more computing systems a plurality of subsequences of operation codes in a plurality of disassembled system executable objects, for each subsequence, determining with the one or more computing systems a first set of system executable objects associated with the subsequence, with the computing systems, clustering the first set of system executable objects with a cluster. The cluster includes a set of system executable objects. The step of clustering the first set of system executable objects and the cluster includes the steps of determining with the computing systems the relative similarity between the first set of system executable objects and the cluster, and if the first set of system executable objects is similar to the cluster, adding with the computing systems the system executable objects to the cluster.
    • 用于确定系统可执行对象之间的相似性的计算机实现的方法包括以下步骤:对于每个子序列,针对每个子序列,使用一个或多个计算系统确定多个反汇编的系统可执行对象中的多个操作代码的子序列, 与计算系统一起系统地与子序列相关联的第一组系统可执行对象,用集群将第一组系统可执行对象集群。 集群包括一组系统可执行对象。 对第一组系统可执行对象和集群进行聚类的步骤包括以下步骤:使用计算系统确定第一组系统可执行对象与集群之间的相对相似度,以及如果第一组系统可执行对象类似于 集群,将计算系统添加到集群的系统可执行对象。