Internet DRAFT - draft-mattsson-t2trg-amplification-attacks
draft-mattsson-t2trg-amplification-attacks
Network Working Group J. Preuß Mattsson
Internet-Draft G. Selander
Intended status: Informational Ericsson
Expires: 13 May 2023 C. Amsüss
Energy Harvesting Solutions
9 November 2022
Amplification Attacks Using the Constrained Application Protocol (CoAP)
draft-mattsson-t2trg-amplification-attacks-01
Abstract
Protecting Internet of Things (IoT) devices against attacks is not
enough. IoT deployments need to make sure that they are not used for
Distributed Denial-of-Service (DDoS) attacks. DDoS attacks are
typically done with compromised devices or with amplification attacks
using a spoofed source address. This document gives examples of
different theoretical amplification attacks using the Constrained
Application Protocol (CoAP). The goal with this document is to raise
awareness and to motivate generic and protocol-specific
recommendations on the usage of CoAP. Some of the discussed attacks
can be mitigated by not using NoSec or by using the Echo option.
About This Document
This note is to be removed before publishing as an RFC.
Status information for this document may be found at
https://datatracker.ietf.org/doc/draft-mattsson-t2trg-amplification-
attacks/.
Discussion of this document takes place on the Thing-to-Thing (t2trg)
Research Group mailing list (mailto:t2trg@irtf.org), which is
archived at https://mailarchive.ietf.org/arch/browse/t2trg/.
Subscribe at https://www.ietf.org/mailman/listinfo/t2trg/.
Source for this draft and an issue tracker can be found at
https://github.com/EricssonResearch/coap-actuators.
Status of This Memo
This Internet-Draft is submitted in full conformance with the
provisions of BCP 78 and BCP 79.
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Amplification Attacks using CoAP . . . . . . . . . . . . . . 3
2.1. Simple Amplification Attacks . . . . . . . . . . . . . . 4
2.2. Amplification Attacks using Observe . . . . . . . . . . . 6
2.3. Amplification Attacks using Group Requests . . . . . . . 8
2.4. MITM Amplification Attacks . . . . . . . . . . . . . . . 9
3. Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
4. Security Considerations . . . . . . . . . . . . . . . . . . . 12
5. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 12
6. Informative References . . . . . . . . . . . . . . . . . . . 12
Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . 14
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 14
1. Introduction
One important protocol used to interact with Internet of Things (IoT)
sensors and actuators is the Constrained Application Protocol (CoAP)
[RFC7252]. CoAP can be used without security in the so called NoSec
mode but any Internet-of-Things (IoT) deployment valuing security and
privacy would use a security protocol such as DTLS [RFC9147], TLS
[RFC8446], or OSCORE [RFC8613] to protect CoAP, where the choice of
security protocol depends on the transport protocol and the presence
of intermediaries. The use of CoAP over UDP and DTLS is specified in
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[RFC7252] and the use of CoAP over TCP and TLS is specified in
[RFC8323]. OSCORE protects CoAP end-to-end with the use of COSE
[RFC8152] and the CoAP Object-Security option [RFC8613] and can
therefore be used over any transport. Group OSCORE
[I-D.ietf-core-oscore-groupcomm] can be used to protect CoAP Group
Communication [I-D.ietf-core-groupcomm-bis].
Protecting Internet of Things (IoT) devices against attacks is not
enough. IoT deployments need to make sure that they are not used for
Distributed Denial-of-Service (DDoS) attacks. DDoS attacks are
typically done with compromised devices or with amplification attacks
using a spoofed source address. DDoS attacks is a huge and growing
problem for services and critical infrastructure [DDoS-Infra] and
mitigations are costly.
The document gives examples of different theoretical amplification
attacks using CoAP. When transported over UDP, the CoAP NoSec mode
is susceptible to source IP address spoofing and as a single request
can result in multiple responses from multiple servers, CoAP can have
very large amplification factors. The goal with this document is to
raise awareness and understanding of amplification attacks and to
motivate mitigations suitable for constrained devices and networks.
Some of the discussed attacks can be mitigated by not using NoSec or
by using the Echo option [RFC9175].
2. Amplification Attacks using CoAP
In a Denial-of-Service (DoS) attack, an attacker sends a large number
of requests or responses to a target endpoint. The denial-of-service
might be caused by the target endpoint receiving a large amount of
data, sending a large amount of data, doing heavy processing, or
using too much memory, etc. In a Distributed Denial-of-Service
(DDoS) attack, the request or responses come from a large number of
sources.
In an amplification attack, the amplification factor is the ratio
between the total size of the data sent to the target and the total
size of the data received from the attacker. Note that in the
presence of intermediaries, the size of the data received by the
target might be different than the size of the data sent to the
target and the size of the data received from the attacker might be
different than the size of the data sent from the attacker.
In the attacks described in this section, the attacker sends one or
more requests, and the target receives one or more responses. An
amplification attack alone can be a denial-of-service attack on a
CoAP server by making it send a large amount of data. But often
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amplification attacks are combined with the attacker spoofing the
source IP address of the targeted victim. By requesting as much
information as possible from several servers an attacker can multiply
the amount of traffic and create a distributed denial-of-service
attack on the target. When transported over UDP, the CoAP NoSec mode
is susceptible to source IP address spoofing.
Amplification attacks with CoAP are unfortunately not only theory.
Powerful CoAP amplification attacks made headlines in 2018, reaching
55 Gbps on average, and with the largest one clocking at 320 Gbps
[DDoS-ZDNET]. But in 2019, they were hardly seen anymore
[DDoS-2019]. In 2020, the FBI cyber division mentioned CoAP in a
public notification warning that cyber actors are increasingly likely
to abuse network protocols for DDoS attacks [DDoS-FBI]. CoAP
amplification attacks made a comeback in 2020 and CoAP was behind a
significant part of global DDoS attacks in Q4 2020 and Q1 2021, but
not at all in Q2 and Q3 of 2021 [DDoS-2021]. It seems unclear
exactly how the attacks were done, why they stopped, and how likely
CoAP amplifications attacks are to come back in the future.
The amplification factor and the bandwidth depend on the layer in the
protocol stack that is used for the calculation. The amplification
factor and bandwidth can e.g., be calculated using whole IP packets,
UPD payloads, or CoAP payloads. The bandwidth decreases and the
amplification factor typically increases higher up in the protocol
stack. The bandwidth should be calculated using the layer that is
considered to be under attack.
The following sections give examples of different theoretical
amplification attacks using CoAP.
2.1. Simple Amplification Attacks
An amplification attack using a single response is illustrated in
Figure 1. If the response is c times larger than the request, the
amplification factor is c.
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Client Foe Server
| | |
| +----->| Code: 0.01 (GET)
| | GET | Uri-Path: random quote
| | |
|<------------+ Code: 2.05 (Content)
| | 2.05 | Payload: "just because you own half the county
| | | doesn't mean that you have the power
| | | to run the rest of us. For twenty-
| | | three years, I've been dying to tell
| | | you what I thought of you! And now...
| | | well, being a Christian woman, I can't
| | | say it!"
Figure 1: Amplification attack using a single response
An attacker can increase the bandwidth by sending several GET
requests. An attacker can also increase or control the amplification
factor by creating or updating resources. By creating new resources,
an attacker can increase the size of /.well-known/core. An
amplification attack where the attacker influences the amplification
factor is illustrated in Figure 2.
Client Foe Server
| | |
| +----->| Code: 0.02 (POST)
| | POST | Uri-Path: /member/
| | | Payload: hampsterdance.hevc
| | |
.... ....
| +----->| Code: 0.02 (GET)
| | GET | Uri-Path: /member/
| | |
|<------------+ Code: 2.05 (Content)
| | 2.05 | Payload: hampsterdance.hevc
| | |
| +----->| Code: 0.02 (GET)
| | GET | Uri-Path: /member/
| | |
|<------------+ Code: 2.05 (Content)
| | 2.05 | Payload: hampsterdance.hevc
.... ....
Figure 2: Amplification attack using several requests and a chosen
amplification factor
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2.2. Amplification Attacks using Observe
Amplification factors can be significantly worse when combined with
observe [RFC7641] and group requests [I-D.ietf-core-groupcomm-bis].
As a single request can result in multiple responses from multiple
servers, the amplification factors can be very large.
An amplification attack using observe is illustrated in Figure 3. If
each notification response is c times larger than the registration
request and each request results in n notifications, the
amplification factor is c * n. By registering the same client
several times using different Tokens or port numbers, the bandwidth
can be increased. By updating the observed resource, the attacker
may trigger notifications and increase the size of the notifications.
By using conditional attributes
[I-D.ietf-core-conditional-attributes] an attacker may increase the
frequency of notifications and therefore the amplification factor.
The maximum period attribute pmax indicates the maximum time, in
seconds, between two consecutive notifications (whether or not the
resource state has changed). If it is predictable when notifications
are sent as confirmable and which Message ID are used the
acknowledgements may be spoofed.
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Client Foe Server
| | |
| +----->| Code: 0.01 (GET)
| | GET | Token: 0x83
| | | Observe: 0
| | | Uri-Path: temperature
| | | Uri-Query: pmax="0.1"
| | |
| +----->| Code: 0.01 (GET)
| | GET | Token: 0x84
| | | Observe: 0
| | | Uri-Path: temperature
| | | Uri-Query: pmax="0.1"
| | |
.... ....
|<------------+ Code: 2.05 (Content)
| | 2.05 | Token: 0x83
| | | Observe: 217362
| | | Payload: "299.7 K"
| | |
|<------------+ Code: 2.05 (Content)
| | 2.05 | Token: 0x84
| | | Observe: 217362
| | | Payload: "299.7 K"
| | |
.... ....
|<------------+ Code: 2.05 (Content)
| | 2.05 | Token: 0x83
| | | Observe: 217363
| | | Payload: "299.7 K"
| | |
|<------------+ Code: 2.05 (Content)
| | 2.05 | Token: 0x84
| | | Observe: 217363
| | | Payload: "299.7 K"
.... ....
Figure 3: Amplification attack using observe, registering the
same client several times, and requesting notifications at least
10 times every second
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2.3. Amplification Attacks using Group Requests
An amplification attack using a group request is illustrated in
Figure 4. The group request is sent over multicast or broadcast and
in this case a single request results in m responses from m different
servers. If each response is c times larger than the request, the
amplification factor is c * m. Note that the servers usually do not
know the variable m.
Client Foe Server
| | |
| +----->| Code: 0.01 (GET)
| | GET | Token: 0x69
| | | Uri-Path: </c>
| | |
|<------------+ Code: 2.05 (Content)
| | 2.05 | Token: 0x69
| | | Payload: { 1721 : { ...
| | |
|<------------+ Code: 2.05 (Content)
| | 2.05 | Token: 0x69
| | | Payload: { 1721 : { ...
| | |
.... ....
Figure 4: Amplification attack using multicast
An amplification attack using a multicast request and observe is
illustrated in Figure 5. In this case a single request results in n
responses each from m different servers giving a total of n * m
responses. If each response is c times larger than the request, the
amplification factor is c * n * m.
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Client Foe Server
| | |
| +----->| Code: 0.01 (GET)
| | GET | Token: 0x44
| | | Observe: 0
| | | Uri-Path: temperature
| | | Uri-Query: pmax="0.1"
| | |
|<------------+ Code: 2.05 (Content)
| | 2.05 | Token: 0x44
| | | Observe: 217
| | | Payload: "301.2 K"
| | |
|<------------+ Code: 2.05 (Content)
| | 2.05 | Token: 0x44
| | | Observe: 363
| | | Payload: "293.4 K"
| | |
.... ....
|<------------+ Code: 2.05 (Content)
| | 2.05 | Token: 0x44
| | | Observe: 218
| | | Payload: "301.2 K"
| | |
|<------------+ Code: 2.05 (Content)
| | 2.05 | Token: 0x44
| | | Observe: 364
| | | Payload: "293.4 K"
| | |
.... ....
Figure 5: Amplification attack using multicast and observe
2.4. MITM Amplification Attacks
TLS and DTLS without Connection ID [RFC9146][RFC9147] validate the IP
address and port of the other peer, binds them to the connection, and
do not allow them to change. DTLS with Connection ID allows the IP
address and port to change at any time. As the source address is not
protected, an MITM attacker can change the address. Note that an
MITM attacker is a more capable attacker then an attacker just
spoofing the source address. It can be discussed if and how much
such an attack is reasonable for DDoS, but DTLS 1.3 states that "This
attack is of concern when there is a large asymmetry of request/
response message sizes." [RFC9147].
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DTLS 1.2 with Connection ID [RFC9146] requires that "the receiver
MUST NOT replace the address" unless "there is a strategy for
ensuring that the new peer address is able to receive and process
DTLS records" but does not give more details than that. It seems
like the receiver can start using the new peer address and test that
it is able to receive and process DTLS records at some later point.
DTLS 1.3 with Connection ID [RFC9147] requires that "implementations
MUST NOT update the address" unless "they first perform some
reachability test" but does not give more details than that. OSCORE
[RFC8613] does not discuss address updates, but it can be assumed
that most servers send responses to the address it received the
request from without any reachability test. A difference between
(D)TLS and OSCORE is that in DTLS the updated address is used for all
future records, while in OSCORE a new address is only used for
responses to a specific request.
An MITM amplification attack updating the client's source address in
an observe registration is illustrated in Figure 6. This attack is
possible in OSCORE and DTLS with Connection ID. The server will send
notifications to the Victim until it at some unspecified point
requires an acknowledgement [RFC7641]. In DTLS 1.2 the reachability
test might be done at a later point. In OSCORE a reachability test
is likely not done.
Client Victim Foe Server
| | | |
+------------>S----->| Code: 0.01 (GET)
| GET | | | Observe: 0
| | | | Uri-Path: humidity
| | | |
|<------------D<-----+ Reachability test (DTLS)
+------------>S----->|
| | | |
.... .... ....
| |<------------+ Code: 2.05 (Content)
| | | 2.05 | Observe: 263712
| | | | Payload: "68 %"
| | | |
| |<------------+ Code: 2.05 (Content)
| | | 2.05 | Observe: 263713
| | | | Payload: "69 %"
.... .... ....
Figure 6: MITM Amplification attack by updating the client's
source address in a observe registration request
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Where 'S' means the MITM attacker is changing the source address of
the message and 'D' means the MITM attacker is changing the
destination address of the message.
An MITM amplification attack updating the server's source address is
illustrated in Figure 7. This attack is possible in DTLS with
Connection ID. In DTLS 1.2 the reachability test might be done at a
later point.
Client Foe Victim Server
| | | |
+------------------->| Code: 0.01 (POST)
| POST | | | Uri-Path: video/
| | | |
|<-----S<------------| Code: 2.01 (Created)
| | | 2.01 |
| | | |
+----->D------------>| Reachability test (DTLS)
|<-----S<------------+
| | | |
.... .... ....
+------------>| | Code: 0.01 (POST)
| POST | | | Uri-Path: video/
| | | | Payload: survailance_1139.hevc
| | | |
+------------>| | Code: 0.01 (POST)
| POST | | | Uri-Path: video/
| | | | Payload: survailance_1140.hevc
.... .... ....
Figure 7: MITM Amplification attack by updating the server's
source address in a response
3. Summary
CoAP has always considered amplification attacks, but most of the
requirements in [RFC7252], [RFC7641], [RFC9175], and
[I-D.ietf-core-groupcomm-bis] are "SHOULD" instead of "MUST", it is
undefined what a "large amplification factor" is, [RFC7641] does not
specify how many notifications that can be sent before a potentially
spoofable acknowledgement must be sent, and in several cases the
"SHOULD" level is further softened by "If possible" and "generally".
[I-D.ietf-core-conditional-attributes] does not have any
amplification attack considerations.
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QUIC [RFC9000] mandates that "an endpoint MUST limit the amount of
data it sends to the unvalidated address to three times the amount of
data received from that address" without any exceptions. This
approach should be seen as current best practice for non-constrained
devices.
While it is clear when a QUIC implementation violates the requirement
in [RFC9000], it is not clear when a CoAP implementation violates the
requirement in [RFC7252], [RFC7641], [RFC9175], and
[I-D.ietf-core-groupcomm-bis].
In CoAP, an address can be validated with a security protocol or by
using the Echo Option [RFC9175]. Restricting the bandwidth per
server is not enough as the number of servers the attacker can use is
typically unknown. For multicast requests, anti-amplification limits
and the Echo Option do not really work unless the number of servers
sending responses is known. Even if the responses have the same size
as the request, the amplification factor from m servers is m, where m
is typically unknown. While DoS attacks from CoAP servers accessible
over the Internet pose the largest threat, an attacker on a local
network (e.g., a compromised node) might use local CoAP servers to
attack targets on the Internet or on the local network.
4. Security Considerations
The whole document can be seen as security considerations for CoAP.
5. IANA Considerations
This document has no actions for IANA.
6. Informative References
[DDoS-2019]
"DDoS Attacks 2019: A look back at the Developments over
the Year", Link11 , December 2019,
<https://www.link11.com/en/blog/threat-landscape/ddos-
attacks-2019-a-look-back-at-the-developments-over-the-
year/>.
[DDoS-2021]
"Quarterly DDoS and Application Attack Report", Radware ,
October 2021,
<https://www.radware.com/2021q3-ddos-report/>.
[DDoS-FBI] "Private Industry Notification", FBI Cyber Division , July
2020, <https://image.communications.cyber.nj.gov/lib/
fe3e15707564047c7c1270/m/2/FBI+PIN+-+7.21.2020.pdf>.
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[DDoS-Infra]
"Critical Infrastructure Under Attack", Dark Reading ,
November 2021, <https://www.darkreading.com/attacks-
breaches/critical-infrastructure-under-attack-/a/
d-id/1340960>.
[DDoS-ZDNET]
"The CoAP protocol is the next big thing for DDoS
attacks", ZDNet , December 2018,
<https://www.zdnet.com/article/the-coap-protocol-is-the-
next-big-thing-for-ddos-attacks/>.
[I-D.ietf-core-conditional-attributes]
Koster, M., Soloway, A., and B. Silverajan, "Conditional
Attributes for Constrained RESTful Environments", Work in
Progress, Internet-Draft, draft-ietf-core-conditional-
attributes-05, 24 October 2022,
<https://www.ietf.org/archive/id/draft-ietf-core-
conditional-attributes-05.txt>.
[I-D.ietf-core-groupcomm-bis]
Dijk, E., Wang, C., and M. Tiloca, "Group Communication
for the Constrained Application Protocol (CoAP)", Work in
Progress, Internet-Draft, draft-ietf-core-groupcomm-bis-
07, 11 July 2022, <https://www.ietf.org/archive/id/draft-
ietf-core-groupcomm-bis-07.txt>.
[I-D.ietf-core-oscore-groupcomm]
Tiloca, M., Selander, G., Palombini, F., Mattsson, J. P.,
and J. Park, "Group OSCORE - Secure Group Communication
for CoAP", Work in Progress, Internet-Draft, draft-ietf-
core-oscore-groupcomm-16, 24 October 2022,
<https://www.ietf.org/archive/id/draft-ietf-core-oscore-
groupcomm-16.txt>.
[RFC7252] Shelby, Z., Hartke, K., and C. Bormann, "The Constrained
Application Protocol (CoAP)", RFC 7252,
DOI 10.17487/RFC7252, June 2014,
<https://www.rfc-editor.org/info/rfc7252>.
[RFC7641] Hartke, K., "Observing Resources in the Constrained
Application Protocol (CoAP)", RFC 7641,
DOI 10.17487/RFC7641, September 2015,
<https://www.rfc-editor.org/info/rfc7641>.
[RFC8152] Schaad, J., "CBOR Object Signing and Encryption (COSE)",
RFC 8152, DOI 10.17487/RFC8152, July 2017,
<https://www.rfc-editor.org/info/rfc8152>.
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[RFC8323] Bormann, C., Lemay, S., Tschofenig, H., Hartke, K.,
Silverajan, B., and B. Raymor, Ed., "CoAP (Constrained
Application Protocol) over TCP, TLS, and WebSockets",
RFC 8323, DOI 10.17487/RFC8323, February 2018,
<https://www.rfc-editor.org/info/rfc8323>.
[RFC8446] Rescorla, E., "The Transport Layer Security (TLS) Protocol
Version 1.3", RFC 8446, DOI 10.17487/RFC8446, August 2018,
<https://www.rfc-editor.org/info/rfc8446>.
[RFC8613] Selander, G., Mattsson, J., Palombini, F., and L. Seitz,
"Object Security for Constrained RESTful Environments
(OSCORE)", RFC 8613, DOI 10.17487/RFC8613, July 2019,
<https://www.rfc-editor.org/info/rfc8613>.
[RFC9000] Iyengar, J., Ed. and M. Thomson, Ed., "QUIC: A UDP-Based
Multiplexed and Secure Transport", RFC 9000,
DOI 10.17487/RFC9000, May 2021,
<https://www.rfc-editor.org/info/rfc9000>.
[RFC9146] Rescorla, E., Ed., Tschofenig, H., Ed., Fossati, T., and
A. Kraus, "Connection Identifier for DTLS 1.2", RFC 9146,
DOI 10.17487/RFC9146, March 2022,
<https://www.rfc-editor.org/info/rfc9146>.
[RFC9147] Rescorla, E., Tschofenig, H., and N. Modadugu, "The
Datagram Transport Layer Security (DTLS) Protocol Version
1.3", RFC 9147, DOI 10.17487/RFC9147, April 2022,
<https://www.rfc-editor.org/info/rfc9147>.
[RFC9175] Amsüss, C., Preuß Mattsson, J., and G. Selander,
"Constrained Application Protocol (CoAP): Echo, Request-
Tag, and Token Processing", RFC 9175,
DOI 10.17487/RFC9175, February 2022,
<https://www.rfc-editor.org/info/rfc9175>.
Acknowledgements
The authors would like to thank Carsten Bormann, Klaus Hartke, Jaime
Jiménez, Ari Keränen, Matthias Kovatsch, Achim Kraus, Sandeep Kumar,
and András Méhes for their valuable comments and feedback.
Authors' Addresses
John Preuß Mattsson
Ericsson AB
SE-164 80 Stockholm
Sweden
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Email: john.mattsson@ericsson.com
Göran Selander
Ericsson AB
SE-164 80 Stockholm
Sweden
Email: goran.selander@ericsson.com
Christian Amsüss
Energy Harvesting Solutions
Email: c.amsuess@energyharvesting.at
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