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libp2p nodes vulnerable to OOM attack

High severity GitHub Reviewed Published Aug 24, 2023 in libp2p/go-libp2p • Updated Nov 5, 2023

Package

gomod github.com/libp2p/go-libp2p (Go)

Affected versions

<= 0.27.3

Patched versions

0.27.4

Description

Summary

In go-libp2p, by using signed peer records a malicious actor can store an arbitrary amount of data in a remote node’s memory. This memory does not get garbage collected and so the victim can run out of memory and crash.

It is feasible to do this at scale. An attacker would have to transfer ~1/2 as much memory it wants to occupy (2x amplification factor).

The attacker can perform this attack over time as the target node’s memory will not be garbage collected.

This can occur because when a signed peer record is received, only the signature validity check is performed but the sender signature is not checked. Signed peer records from randomly generated peers can be sent by a malicious actor. A target node will accept the peer record as long as the signature is valid, and then stored in the peer store.

There is cleanup logic in the peer store that cleans up data when a peer disconnects, but this cleanup is never triggered for the fake peer (from which signed peer records were accepted) because it was never “connected”.

Impact

If users of go-libp2p in production are not monitoring memory consumption over time, it could be a silent attack i.e. the attacker could bring down nodes over a period of time (how long depends on the node resources i.e. a go-libp2p node on a virtual server with 4 gb of memory takes about 90 sec to bring down; on a larger server, it might take a bit longer.)

Patches

Update your go-libp2p dependency to the latest release, v0.30.0 at the time of writing.

If you'd like to stay on the 0.27.x release, we strongly recommend users to update to go-libp2p 0.27.7. Though this OOM issue was fixed in 0.27.4, there were subsequent patch releases afterwards (important fixes for other issues unrelated to the OOM).

Workarounds

None

References

@p-shahi p-shahi published to libp2p/go-libp2p Aug 24, 2023
Published to the GitHub Advisory Database Aug 24, 2023
Reviewed Aug 24, 2023
Published by the National Vulnerability Database Aug 25, 2023
Last updated Nov 5, 2023

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS score

0.128%
(49th percentile)

Weaknesses

CVE ID

CVE-2023-40583

GHSA ID

GHSA-gcq9-qqwx-rgj3

Source code

Credits

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