  IOTA is a distributed ledger technology that relies on a peer-to-peer (P2P)
network for communications. Recently an auto-peering algorithm was proposed to
build connections among IOTA peers according to their "Mana" endowment, which
is an IOTA internal reputation system. This paper's goal is to detect potential
vulnerabilities and evaluate the resilience of the P2P network generated using
IOTA auto-peering algorithm against eclipse attacks. In order to do so, we
interpret IOTA's auto-peering algorithm as a random network formation model and
employ different network metrics to identify cost-efficient partitions of the
network. As a result, we present a potential strategy that an attacker can use
to eclipse a significant part of the network, providing estimates of costs and
potential damage caused by the attack. On the side, we provide an analysis of
the properties of IOTA auto-peering network ensemble, as an interesting class
of homophile random networks in between 1D lattices and regular Poisson graphs.
