Indicators of Compromise (IoCs) and Their Role in Attack Defence
draft-paine-smart-indicators-of-compromise-00
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draft-paine-smart-indicators-of-compromise-00
Internet Engineering Task Force K. Paine
Internet-Draft UK National Cyber Security Centre
Intended status: Informational O. Whitehouse
Expires: September 7, 2020 NCC Group
March 6, 2020
Indicators of Compromise (IoCs) and Their Role in Attack Defence
draft-paine-smart-indicators-of-compromise-00
Abstract
Indicators of Compromise (IoCs) are an important technique in attack
defence (often called cyber defence). This document outlines the
different types of IoC, their associated benefits and limitations,
and discusses their effective use. It also contextualises the role
of IoCs in defending against attacks through describing a recent case
study. This draft does not pre-suppose where IoCs can be found or
should be detected - as they can be discovered and deployed in
networks, endpoints or elsewhere - rather, engineers should be aware
that they need to be detectable (either by endpoint security
appliances or network-based defences, or ideally both) to be
effective.
Status of This Memo
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This Internet-Draft will expire on September 7, 2020.
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
1.1. Requirements Language . . . . . . . . . . . . . . . . . . 3
2. What are IoCs? . . . . . . . . . . . . . . . . . . . . . . . 3
3. Why use IoCs? . . . . . . . . . . . . . . . . . . . . . . . . 4
3.1. IoCs can be used even with limited resource . . . . . . . 4
3.2. IoCs have a multiplier effect on attack defence effort . 4
3.3. IoCs are easily shareable . . . . . . . . . . . . . . . . 5
3.4. IoCs can be attributed to specific threat actors . . . . 5
3.5. IoCs can provide significant time savings . . . . . . . . 5
3.6. IoCs allow for discovery of historic attacks . . . . . . 6
3.7. IoCs underpin and enable multiple of the layers of the
modern defence-in-depth strategy . . . . . . . . . . . . 6
4. Pain, Fragility and Precision . . . . . . . . . . . . . . . . 7
4.1. Pyramid of Pain . . . . . . . . . . . . . . . . . . . . . 7
4.2. Fragility . . . . . . . . . . . . . . . . . . . . . . . . 9
4.3. Precision . . . . . . . . . . . . . . . . . . . . . . . . 9
4.4. Comprehensive Coverage . . . . . . . . . . . . . . . . . 9
5. Defence in Depth . . . . . . . . . . . . . . . . . . . . . . 10
6. Case Study: APT33 . . . . . . . . . . . . . . . . . . . . . . 11
6.1. Overall TTP . . . . . . . . . . . . . . . . . . . . . . . 12
6.2. IoCs . . . . . . . . . . . . . . . . . . . . . . . . . . 12
7. Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . 13
8. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 13
9. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 13
10. Security Considerations . . . . . . . . . . . . . . . . . . . 13
11. Informative References . . . . . . . . . . . . . . . . . . . 13
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 15
1. Introduction
This draft aims to describe, and illustrate the purpose of,
Indicators of Compromise (IoCs), which are widely used in attack
defence (often called cyber defence). The concept of the 'Pyramid of
Pain' [PoP] will also be introduced to show the properties of the
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broad range of defences that IoCs can provide. Furthermore, this
draft will describe a real intrusion set, APT33, for which IoCs were
identified and used for defence. This document is not a
comprehensive report of APT33 and is intended to be read alongside
APT33 open source material (for example, [Symantec]).
1.1. Requirements Language
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
"SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this
document are to be interpreted as described in RFC 2119 [RFC2119].
2. What are IoCs?
Indicators of Compromise (IoCs) are artefacts observed about an
attacker; their techniques, tactics, procedures or associated tooling
and infrastructure. These indicators can be observed at a
combination of network or host levels and can, with varying degrees
of confidence, help to identify an occurrence of an intrusion or
associated activity to a known intrusion set. These IoCs are used by
network defenders (blue teams) to protect their networks. Examples
of IoCs can include:
o IP addresses
o domain names
o TLS Server Name Indicator values
o certificate information
o signatures such as binary code patterns and strings
o hashes of malicious binaries or scripts
o attack tools, such as mimikatz [Mimikatz]
o attack techniques, such as Kerberos golden tickets [GoldenTicket]
IoCs are often found initially through manual investigation and then
shared at scale so a variety of individuals and organisations can
defend themselves. They can be found in a range of locations,
including in networks and at endpoints, but wherever they exist, they
need to be made available to security appliances to ensure that they
can be deployed quickly and widely. For IoCs to provide defence-in-
depth (see Section 5), which is one of their key strengths, they
should be deployed on both the network and on endpoints through
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solutions that have sufficient privilege to act on them, to cope with
different points of failure.
IoCs can be of varying quality. An IoC without context is not much
use for network defence - a defender could do different things with
an IoC (e.g. monitor it, block it, log it) depending on this context.
Without the associated context, for example the threat actor it
relates to, the last time it was seen in use, its expected lifetime
or other related IoCs, the usefulness of an IoC is greatly reduced.
On the other hand, an IoC delivered with context is much more useful
to a network defender, who can then make an informed choice on how to
use it to protect their network.
3. Why use IoCs?
3.1. IoCs can be used even with limited resource
IoCs are scalable and easy to deploy which makes them a really
valuable asset for smaller entities. IoCs are also inexpensive to
use. For example, take a small manufacturing subcontractor in a
supply chain that produces a critical, highly specialised, component.
The small manufacturer represents an attractive target because there
would be disproportionate impact on both the supply chain and the
prime contractor if it were compromised. In addition, it is likely
to have comparatively smaller resource to manage the risks it faces.
It is reasonable to assume that this small manufacturer will have
only basic security (in the form of firewalls, similar network
protection devices, or an outsource agreement), however it can still
leverage IoCs to great effect. IoCs can be deployed to give a
baseline protection against known threats by small entities without
access to a significant defensive team or the threat intelligence
relationships necessary to perform resource-intensive investigation.
In addition, as detailed further in Section 3.2, the prime contractor
can also supply IoCs to the subcontractor to provide an uplift in
defensive capability in order to protect the prime contractor.
Affording some level of protection to organisations across a spectrum
of resource, maturity, and sophistication is a major part of the
appeal for IoCs.
3.2. IoCs have a multiplier effect on attack defence effort
The correspondence is one-to-many: simply blocking one IoC may
protect thousands of users within an organisation. Discovering one
IoC can be intensive, but sharing IoCs via well-established routes
such as the Malware Information Sharing Platform (MISP) [MISP] will
protect thousands of organisations and end users. The shareability
and reproducibility of IoCs is a huge advantage; it allows a threat
defender to look for things consistently and automate the process of
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defending their networks. It doesn't require intensive training (as
needed to, for example, manually analyse tipped machine learning
events), nor does it require time-intensive resource to deploy IoCs.
In the case of an ongoing email phishing campaign, IoCs can be
monitored, discovered and deployed quickly and easily. If they are
deployed quickly via a mechanism such as a protective DNS filtering
service, they can be more effective still, as the same email campaign
is mitigated before a recipient clicks the link or before malicious
payloads can call out for instructions. While this approach can
therefore be faster than some traditional defences, the most
important benefit is that other parties can be protected without
additional effort.
3.3. IoCs are easily shareable
This is due to two major factors: firstly, because lists of
identifiers are easy to distribute, and secondly, due to standards
such as Structured Threat Information Expression (STIX) [STIX] that
provide a well-defined format for sharing. This allows IoCs to give
blanket coverage for organisations and allow widespread mitigation in
a timely fashion. They can be shared with systems administrators -
from small to large organisations, from large teams to a single
individual - allowing them to implement defences on their network.
3.4. IoCs can be attributed to specific threat actors
Deployment of various modern system security services, such as
endpoint detection and response or firewall filtering, comes with an
inherent trade-off between breadth of protection and risk of false
positives (see Section 4). An organisation can examine their own
risk, impact and threat - they can perform their own information
assurance and threat modelling - and work to manage those threats
they wish to. This means an organisation can prioritise or accept
trade-offs against a subset of malicious actors; tying IoCs to threat
actors allows organisations to focus their defences against
particular risks. Organisations should have the technical freedom
and the capability to choose their risk posture and defence methods.
3.5. IoCs can provide significant time savings
Not only are there time savings from sharing IoCs, saving duplication
of investigation effort, but deploying them automatically at scale is
seamless for many enterprises. Where automatic deployment of IoCs is
working well, organisations and users get blanket protection with
minimal human intervention and minimal effort, a key goal of attack
defence. Conversely, protecting a complex network without automatic
deployment of IoCs could mean updating every single endpoint or
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network device consistently and reliably to the same security level.
The work this entails (including polling for logs, locating assets
and devices, and manually checking patch levels) introduces
complexity and a need for skilled analysts. While it is still
necessary to invest effort to eliminate false positives when widely
deploying IoCs, the cost and effort involved can be far smaller than
the work entailed in reliably patching all endpoint and network
devices - for example, particularly on legacy systems that may be
particularly complicated, or even impossible, to update.
3.6. IoCs allow for discovery of historic attacks
A network defender can use recently acquired IoCs in conjunction with
historic data, such as logged DNS queries or email attachment hashes,
to hunt for signs of past compromise. Not only can this technique
help to build up a clear picture of past attacks, but it also allows
for retrospective mitigation of the effects of any previous
intrusion. This use case is reliant on historic data not having been
compromised itself, by a technique such as Timestomp [Timestomp], or
being incomplete due to third party policies, but is nonetheless
valuable for detecting past attacks.
3.7. IoCs underpin and enable multiple of the layers of the modern
defence-in-depth strategy
Firewalls, Intrusion Detection Systems and Security Incident Event
Management platforms all employ IoCs to identify and mitigate
threats. Anti-Virus (AV) products, as part of a multi-faceted
approach, deploy IoCs via catalogues or libraries to all supported
client endpoints. Of course, IoCs do not address all attack defence
challenges - but they form a vital tier of any organisation's layered
defence.
As an example, open source malware can be deployed by many different
actors, each with their own "Tactics, Techniques and Procedures"
(TTPs) and infrastructure. However, if the same executable is used,
the hash remains the same - and this IoC can be deployed in endpoints
through AV to protect regardless of TTP and infrastructure. Should
this defence fail however, other defences can prevent malicious
actors progressing further through the attack chain - for instance,
by blocking known malicious domain name look-ups and thereby
preventing the malware calling out to its command and control
infrastructure.
A different malicious actor changes the intrusion set deployed across
different campaigns, but their access vector remains consistent and
well-known. Therefore, this TTP and pattern of activity can be
recognised and proactively defended against. For example, if their
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access vector consistently exploits a vulnerability in software,
regular and estate-wide patching can prevent the attack from taking
place. Should these pre-emptive measures fail however, other IoCs
observed across multiple campaigns can be used to prevent the attack
at different stages in the attack chain. Hence, IoCs can underpin
multiple layers of any modern defence-in-depth strategy.
4. Pain, Fragility and Precision
The variety of IoC types inherently embody a set of trade-offs
between the risk of false positives (misidentifying non-malicious
traffic as malicious) and the risk of failing to identify attacks.
The pain of modifying attacks to subvert known IoCs inversely
correlates with both the fragility of various IoCs as a tool for
attack defence, and the precision with which IoCs identify an attack.
Research is needed to elucidate the exact nature of these trade-offs
between pain, fragility and precision.
4.1. Pyramid of Pain
IoCs form a "Pyramid of Pain" [PoP] that can be used for prevention,
detection and mitigation. This represents how much pain it is: to an
adversary to change and for the defender to gather. The layers of
the PoP range from hashes to TTPs and the pain ranges from
recompiling code to creating a new attack strategy.
On the lowest (and least painful) level are hashes of malicious
files. These are easy for a defender to gather and can be given to
firewalls, for example, to block malicious downloads. To subvert
this defence, an adversary need only recompile code with some trivial
changes, thereby changing the hash. IoCs aren't the only route for
doing this blocking but are a quick, less intrusive and more
convenient method.
The next two levels are IPs and domain names. These are blockable,
with varying false positive rates (see Section 4.4), and often cause
more pain to an adversary to subvert; they may have to change IP
ranges, find a new provider, and change their code if the IP address
is hard-coded (rather than resolved). Domain names are more granular
than IP addresses and are more painful for an adversary to change.
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/\
/ \ MORE PAIN
/ \ LESS FRAGILE
/ \ LESS PRECISE
/ TTPs \
/ \ / \
============== |
/ \ |
/ Tools \ |
/ \ |
====================== |
/ \ |
/ network/host artefacts \ |
/ \ |
============================== |
/ \ |
/ domain names \ |
/ \ |
====================================== |
/ \ |
/ IP addresses \ |
/ \ \ /
==============================================
/ \ LESS PAIN
/ Hash values \ MORE FRAGILE
/ \ MORE PRECISE
======================================================
Figure 1
Network and host artefacts, such as changed timestamps of files left
on the endpoint (see [Timestomp]) or a beaconing pattern on the
network, are harder still to change, as they relate specifically to
the attack taking place and may not be under the direct control of
the attacker.
Tools and TTPs form the top two layers of the pyramid; these layers
describe a threat actor's methodology - the way they perform the
attack. An example could be deployment of malicious code to perform
reconnaissance of a victim's network, which pivots laterally to a
valuable endpoint, then downloads a ransomware payload. Tools refer
to the software used to conduct the attack, whereas TTPs relate to
the broader attack strategy being used. Information on TTPs and
Tools take intensive effort to diagnose on the part of the defender,
but they are fundamental to the attacker and campaign and hence
incredibly painful for the adversary to change.
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4.2. Fragility
For a network defender, the PoP can also be thought of in terms of
fragility. The less painful it is for the attacker to change the
IoC, the more fragile that IoC is as an attack defence tool. It
should be relatively simple to get a hash of the various file
attachments (and then deploy this through AV or other means) or to
get an email subject for a particular campaign. However, when
thinking in terms of fragility, the hash IoCs or email subjects are
fragile and can be changed; in reality, they will be changed easily
between campaigns. IPs and domain names can also be changed between
campaigns, but it is harder - and if the IoCs didn't change but
weren't blocked, that's a missed opportunity.
4.3. Precision
The PoP can be also considered in terms of how precise the defence
can be, with the false positive rate roughly increasing as we move up
the pyramid. A hash (e.g. MD5, SHA1 or SHA2) can specify a
particular executable, so the false positive is nil. On the other
hand, TTPs or fuzzier rules may apply to various binaries, and even
benign software may share the same identifying methodology. This
corresponds with the consequences for fragility mentioned above, as
the more precise IoCs, such as hashes, are also the most fragile.
4.4. Comprehensive Coverage
IoCs provide the defender with a range of options across the PoP
layers, balancing between precision and fragility to give high
confidence events that are practical and useful. Broad coverage of
the PoP is important as it allows the defender to cycle between high
precision but high fragility options and more robust but less precise
indicators. As fragile indicators are changed, the more robust IoCs
allow for continued detection and faster rediscovery. This is why
it's important to collect as many IoCs as possible across the whole
PoP.
At the top of the PoP, TTPs identified through anomaly detection and
machine learning are more likely to have false positives, which gives
lower confidence and, vitally, requires better trained analysts to
understand and implement the defences. Hashes, at the bottom, are
precise and easy to deploy but are fragile and easily changed within
and across campaigns by malicious actors.
In the middle of the pyramid, IoCs related to network information
(such as domains and IP addresses) can be particularly useful. They
allow for broad coverage, without requiring each and every endpoint
security solution to be updated. This means they can shine in
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contexts where ensuring endpoint security isn't possible such as
"Bring Your Own Device" (BYOD), IoT and legacy environments. Using
these network level IoCs can also protect against a compromised
endpoint as, even if the compromise passes unnoticed, the IoCs can
still be checked against network traffic, allowing detection of the
attack. For example, in a BYOD environment, enforcing security
policies on the device can be difficult, so non-endpoint IoCs and
solutions are needed to allow detection of compromise even with no
endpoint coverage.
Covering a broad range of IoCs gives defenders a wide range of
benefits: easy to deploy, high confidence enough to be effective,
painful enough to change and disruptive to bad actors. The
combination of these factors cements IoCs as a particularly valuable
tool for defenders with limited resources.
5. Defence in Depth
Endpoint Detection and Response (EDR) or Anti-Virus (AV) are often
the first port of call for protection from intrusion but aren't a
panacea. One issue is that there are many environments where it is
not possible to keep them updated, or in some cases, deploy them at
all. For example, the Owari botnet, a Mirai variant [Owari],
exploited Internet of Things (IoT) devices where such solutions could
not be deployed. It is because of such gaps, where endpoint
solutions can't be relied on (see [CLESS]), that a defence-in-depth
approach is commonly advocated, using a blended approach that
includes both network and endpoint defences.
If an attack happens, then you hope an endpoint solution will pick it
up. If it doesn't, it could be for many good reasons: the endpoint
solution could be quite conservative and aim for a low false-positive
rate, it might not have ubiquitous coverage or it might only be able
to defend the initial step of the kill chain. In the worst cases,
the attack specifically disables the endpoint solution or the malware
is brand new and so won't be recognised. Going up the pyramid, IP
addresses are next, and here we have ACLs (access control lists) that
can go on firewalls - or your favourite DNS filtering service for
protection. Using IPs will blanket-defend a range of endpoints, from
printers [IoT] to "Bring Your Own Device" (BYOD) to capable
endpoints. Going further through the pyramid, domains are next -
these are more granular.
One example of how IoCs provide a layer of a defence-in-depth
solution is Protective DNS (PDNS), a free and voluntary DNS filtering
service provided by the UK NCSC for UK public sector organisations
[PDNS]. In 2018, this service blocked access to 57.4 million DNS
queries for 118,527 unique reasons (out of 68.7 billion total
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queries) for the organisations signed up to the service [ACD2019]. 28
million of them were for domain generation algorithms (DGAs),
including 15 known DGAs. IoCs such as malicious domains can be put
on PDNS straight away and can then be used to prevent access to those
known malicious domains across the entire estate of over 460 separate
public sector entities that use NCSC's PDNS [Annual2019]. Coverage
can be patchy with endpoints, as the roll-out of protections isn't
uniform or necessarily fast - but if the IoC is on PDNS, a consistent
defence is maintained. This offers protection, regardless of whether
the context is a BYOD environment or a managed enterprise system.
Other IoCs, like Server Name Indicator values in TLS or the server
certificate information, also provide IoC protections.
Similar to the AV scenario, large scale services face risk decisions
around balancing threat against business impact from false positives.
Organisations need to be able to retain the ability to be more
conservative with their own defences, while still benefiting from
them. For instance, a commercial DNS filtering service is intended
for broad deployment, so will have a risk tolerance similar to AV
products; whereas DNS filtering intended for government users (e.g.
PDNS) can be more conservative, but will still have a relatively
broad deployment if intended for the whole of government. A
government department or specific company, on the other hand, might
accept the risk of disruption and arrange firewalls or other network
protection devices to completely block anything related to particular
threats, regardless of the confidence, but rely on a DNS filtering
service for everything else.
Other network defences can make use of this blanket coverage from
IoCs, like middlebox mitigation, proxy defences, and application
layer firewalls, but they're out of scope for this draft. Note too
that DNS goes through firewalls, proxies and possibly to a DNS
filtering service; it doesn't have to be unencrypted, but these
appliances must be able to decrypt it to do anything useful with it,
like blocking queries for known bad URIs.
6. Case Study: APT33
To contextualise IoCs, we describe a real world case study: a current
campaign by the threat actor APT33, also known as Elfin and Refined
Kitten (see [Symantec]). APT33 has been assessed by industry to be a
state-sponsored group [FireEye], yet in this case study, IoCs still
gave defenders an effective tool against such a sophisticated and
powerful adversary. The group has been active since at least 2015
and is known to target a range of sectors including petrochemical,
government, engineering and manufacturing. Activity has been seen in
countries across the globe, but predominantly in the USA and Saudi
Arabia.
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6.1. Overall TTP
The techniques employed by this actor exhibit a relatively low level
of sophistication: typically, spear phishing is used with document
lures that imitate legitimate publications. Once inside a target
network, the actor will attempt to pivot to other machines to gather
documents and gain access to administrative credentials. In some
cases, users are tricked into providing credentials that are then
used to enable the use of RULER, a freely available tool that allows
exploitation of an email client. The attacker, in possession of a
target's password, uses RULER to access the target's mail account,
and embed a malicious script which will be triggered when the mail
client is next opened, resulting in the execution of malicious code
(often additional malware retrieved from the Internet) (see
[FireEye2]).
When a destructive tool is deployed, it relies on overwriting the
master boot record (MBR) of the hard drives in as many PCs as
possible. This type of tool, known as a wiper, results in data loss
and renders devices unusable until the operating system is
reinstalled. In some cases, the actor is able to use administrator
credentials to invoke execution across a large swathe of a company's
IT estate at once; where this isn't possible the actor may attempt to
spread the wiper to as many PCs as possible manually, or by using
wormlike capabilities against unpatched vulnerabilities on the
internal network.
6.2. IoCs
As a result of investigations by both industry and NCSC in
partnership, a set of IoCs were compiled that could then be shared
out with government and industry to enable network defenders to
search for these indicators in their networks. Detection of these
IoCs is likely indicative of APT33 targeting and could indicate
potential compromise and subsequent use of destructive malware.
Network defenders could also initiate processes to block these IoCs
and foil future attacks. This set of IoCs comprised:
o 9 fragile indicators including hashes and email subject lines
o 5 IP addresses
o 7 domains
These IoCs mostly cover the bottom few levels of the PoP, with the
network level IoCs giving resilience not provided by the fragile
indicators. Not only can these IoCs be used to check historical data
for evidence of past compromise, but they can also be deployed to
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block further infection and/or to detect infection in a timely
manner, thereby contributing to preventing the loss of user and
system data.
7. Conclusions
IoCs are versatile and powerful. IoCs underpin and enable multiple
of the layers of the modern defence-in-depth strategy. IoCs are easy
to share, providing a multiplier effect on attack defence effort and
they save vital time. Network-level IoCs offer protection,
especially valuable when an endpoint-only solution isn't sufficient.
These properties, along with their ease of use, make IoCs a key
component of any attack defence strategy and particularly valuable
for defenders with limited resources.
For IoCs to be useful, they don't have to be unencrypted or visible
in networks - but crucially they do need to be made available, along
with their context, to entities that need them. It is also important
that this availability and eventual usage copes with multiple points
of failure, as per the defence-in-depth strategy, of which IoCs are a
key part.
8. Acknowledgements
Thanks to all those who have been involved with improving cyber
defence in the IETF and IRTF communities.
9. IANA Considerations
This memo includes no request to IANA.
10. Security Considerations
This draft is all about system security.
11. Informative References
[ACD2019] Levy, I. and M. S, "Active Cyber Defence - The Second
Year", 2019, <https://www.ncsc.gov.uk/report/active-cyber-
defence-report-2019>.
[Annual2019]
NCSC, "Annual Review 2019", 2019,
<https://www.ncsc.gov.uk/annual-review/2019/ncsc/docs/
ncsc_2019-annual-review.pdf>.
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[CLESS] Taddei, A., Wueest, C., Roundy, K., and D. Lazanski,
"Capabilities and Limitations of an Endpoint-only Security
Solution", 2019, <https://datatracker.ietf.org/doc/draft-
taddei-smart-cless-introduction/>.
[FireEye] O'Leary, J., Kimble, J., Vanderlee, K., and N. Fraser,
"Insights into Iranian Cyber Espionage: APT33 Targets
Aerospace and Energy Sectors and has Ties to Destructive
Malware", 2017, <https://www.fireeye.com/blog/threat-
research/2017/09/apt33-insights-into-iranian-cyber-
espionage.html>.
[FireEye2]
FireEye, "OVERRULED: Containing a Potentially Destructive
Adversary", 2018, <https://www.fireeye.com/blog/threat-
research/2018/12/overruled-containing-a-potentially-
destructive-adversary.html>.
[GoldenTicket]
Soria-Machado, M., Abolins, D., Boldea, C., and K. Socha,
"Kerberos Golden Ticket Protection", 2014,
<https://cert.europa.eu/static/WhitePapers/UPDATED - CERT-
EU_Security_Whitepaper_2014-007_Kerberos_Golden_Ticket_Pro
tection_v1_4.pdf>.
[IoT] NCC Group, "Security Impact of IoT on the Enterprise",
2019, <https://www.nccgroup.trust/globalassets/our-
research/uk/whitepapers/2019/11/iot-whitepaper-matt.pdf>.
[Mimikatz]
Mulder, J., "Mimikatz Overview, Defenses and Detection",
2016, <https://www.sans.org/reading-
room/whitepapers/detection/mimikatz-overview-defenses-
detection-36780>.
[MISP] MISP, "MISP", 2019, <https://www.misp-project.org/>.
[Owari] NCSC, "Owari botnet own-goal takeover", 2018,
<https://www.ncsc.gov.uk/report/weekly-threat-report-8th-
june-2018>.
[PDNS] NCSC, "Protective DNS", 2019,
<https://www.ncsc.gov.uk/information/pdns>.
[PoP] Bianco, D., "The Pyramid of Pain", 2014, <https://detect-
respond.blogspot.com/2013/03/the-pyramid-of-pain.html>.
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[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", BCP 14, RFC 2119,
DOI 10.17487/RFC2119, March 1997,
<https://www.rfc-editor.org/info/rfc2119>.
[STIX] OASIS Cyber Threat Intelligence, "STIX", 2019,
<https://oasis-open.github.io/cti-documentation/stix/
intro>.
[Symantec]
Symantec, "Elfin: Relentless", 2019,
<https://www.symantec.com/blogs/threat-intelligence/elfin-
apt33-espionage>.
[Timestomp]
OASIS Cyber Threat Intelligence, "Timestomp", 2019,
<https://attack.mitre.org/techniques/T1099/>.
Authors' Addresses
Kirsty Paine
UK National Cyber Security Centre
Email: kirsty.p@ncsc.gov.uk
Ollie Whitehouse
NCC Group
Email: ollie.whitehouse@nccgroup.com
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