misp-taxonomies/dga/machinetag.json

{
  "namespace": "dga",
  "expanded": "Domain-Generation Algorithms",
  "description": "A taxonomy to describe domain-generation algorithms often called DGA. Ref: A Comprehensive Measurement Study of Domain Generating Malware Daniel Plohmann and others.",
  "version": 2,
  "predicates": [
    {
      "value": "generation-scheme",
      "expanded": "Generation scheme used for the DGA"
    },
    {
      "value": "seeding",
      "expanded": "Seeding scheme used for the DGA"
    }
  ],
  "values": [
    {
      "predicate": "generation-scheme",
      "entry": [
        {
          "value": "arithmetic",
          "expanded": "Arithmetic",
          "description": "Calculate a sequence of values that either have a direct ASCII representation usable for a domain name or designate an offset in one or more hard- coded arrays, constituting the alphabet of the DGA. "
        },
        {
          "value": "hash",
          "expanded": "Hash",
          "description": "Use the hexdigest representation of a hash to produce the domain."
        },
        {
          "value": "wordlist",
          "expanded": "Wordlist",
          "description": "Concatenate a sequence of words from one or more wordlists, resulting in less randomly appealing and thus more camouflaging domains"
        },
        {
          "value": "permutation",
          "expanded": "Permutation",
          "description": "derive all possible AGDs (Algorithmically-Generated Domain) through permutation of an initial domain name."
        }
      ]
    },
    {
      "predicate": "seeding",
      "entry": [
        {
          "value": "time-dependent",
          "expanded": "The DGA uses temporal information in the seeding for its domain generation, resulting in sets of domains with certain validity time spans."
        },
        {
          "value": "time-independent",
          "expanded": "The DGA does not rely on temporal information in the seeding for its domain generation, resulting in a single set of domains."
        },
        {
          "value": "deterministic",
          "expanded": "Given the implementation of the DGA and a seed, its full set of possible domains can be calculated at any point in time."
        },
        {
          "value": "non-deterministic",
          "expanded": "Domains depend on unpredictable seed input, e.g. on external dynamic information that can be published at a later time (e.g. via posting on social media), on data specific to the system it is executed on, or on arbitrary non-predictable PRNG output."
        }
      ]
    }
  ]
}