In discrete logarithm based cryptography, a method by Pohlig and Hellman allows solving the discrete logarithm problem efficiently if the group order is known and has no large prime factors. The consequence is that such groups are avoided. In the past, there have been proposals for cryptography based on cyclic infrastructures. We will show that the Pohlig-Hellman method can be adapted to certain cyclic infrastructures, which similarly implies that certain infrastructures should not be used for cryptography. This generalizes a result by Müller, Vanstone and Zuccherato for infrastructures obtained from hyperelliptic function fields.We recall the Pohlig-Hellman method, define the concept of a cyclic infrastructure and briefly describe how to obtain such infrastructures from certain function fields of unit rank one. Then, we describe how to obtain cyclic groups from discrete cyclic infrastructures and how to apply the Pohlig-Hellman method to compute absolute distances, which is in general a computationally hard problem for cyclic infrastructures. Moreover, we give an algorithm which allows to test whether an infrastructure satisfies certain requirements needed for applying the Pohlig-Hellman method, and discuss whether the Pohlig-Hellman method is applicable in infrastructures obtained from number fields. Finally, we discuss how this influences cryptography based on cyclic infrastructures. Definition 2.1. Let R ∈ R >0 be a positive real number. A cyclic infrastructure (X, d) of circumference R is a non-empty finite set X with an injective map d : X → R/RZ, called the distance function.Definition 2.2. We say that a cyclic infrastructure (X, d) of circumference R is discrete if R ∈ Z and d(X) ⊆ Z/RZ.One can interpret finite cyclic groups as discrete cyclic infrastructures as follows: Let G = g be a finite cyclic group of order m and d : G → Z/mZ be the discrete logarithm map 1 (to the base g), i.e. we have g d(h) = h for every h ∈ g . By 1 The discrete logarithm of an element h ∈ g is sometimes, in particular in Elementary Number Theory, also called the index of h with respect to g.