  InterPlanetary File System~(IPFS) is one of the most promising decentralized
off-chain storage mechanisms, particularly relevant for blockchains, aiming to
store the content forever, thus it is crucial to understand its composition,
deduce actor intent and investigate its operation and impact. Beyond the
network functionality that IPFS offers, assessing the quality of nodes, i.e.
analysing and categorising node software and data, is essential to mitigate
possible risks and exploitation of IPFS. To this end, in this work we took
three daily snapshots of IPFS nodes within a month and analysed each node (by
IP address) individually, using threat intelligence feeds. The above enabled us
to quantify the number of potentially malicious and/or abused nodes. The
outcomes lead us to consider using a filter to isolate malicious nodes from the
network, an approach we implemented as a prototype and used for assessment of
effectiveness.
