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FIVE BLIND SPOTS THAT LEAVE YOU OPEN TO SUPPLY CHAIN VULNERABILITIES

 * Published by Chase Snyder on June 2, 2022

Software supply chain attacks have received increased attention over the past
year with high-profile examples such as the SolarWinds SUNBURST attack, the
Kaseya VSA (REvil) attack, or the Log4j vulnerability making headlines and
impacting thousands of enterprises. It isn't that a handful of examples happen
to make the news: Supply chain attacks are growing more common. Gartner predicts
that by 2025, 45% of organizations worldwide will have experienced attacks on
their software supply chain.

Furthermore, the sheer variety in how software supply chain attacks can be
executed adds complexity to the process of risk mitigation, detection, response,
and resilience against them. From intentionally introduced malware in enterprise
software to accidental vulnerabilities in ubiquitous open-source code, the
software supply chain is dark and full of terrors.

We'll explore five real-world examples of supply chain attacks and third-party
risk introduced through the software supply chain. We'll provide advice on how
to improve your security posture against these attacks. You'll learn how to:

 * Improve your readiness and security hygiene to reduce the likelihood of a
   supply chain attack working against you
 * Increase your ability to detect early indicators of a supply chain attack in
   progress
 * Accelerate your response capabilities against both sophisticated and basic
   supply chain attacks
 * Boost your overall ability to monitor and manage third-party risk from
   software vendors

How to Monitor Third-Party Supply Chain Risk


WHAT IS A SOFTWARE SUPPLY CHAIN ATTACK AND WHY ARE BUSINESSES UNIQUELY
VULNERABLE

According to the U.S. Cybersecurity and Infrastructure Security Agency (CISA),
"a software supply chain attack occurs when a cyber threat actor infiltrates a
software vendor's network and employs malicious code to compromise the software
before the vendor sends it to their customers. The compromised software then
compromises the customer's data or system."

Your organization's software supply chain consists of all the companies you buy
software from, all of the open-source repositories their developers pull code
from, all the service organizations you allow into your environment, and more.
All of these sources represent an enormous and difficult-to-secure cyber attack
surface.

Even in cases where an attacker exploits a vulnerability in a supply-chain
dependency, rather than introducing their own malicious code, the software
supply chain serves as an amplifier. This enables attackers to stay stealthy
while breaking into a wider range of targets, making third-party risk introduced
through the software supply chain above and beyond sophisticated attacks such as
SUNBURST. The overlapping blind spots inside the enterprise contribute to the
enormity of this challenge for defenders.

CISA says that organizations are uniquely vulnerable to software supply chain
attacks for two major reasons:

 1. Many third-party software products require privileged access.
 2. Third-party software products require frequent communication between the
    vendor's network and the vendor's software product located on customer
    networks.

Supply chain attacks exploit this privileged access and open communication
channels between vendor and customer as an initial intrusion path. Some supply
chain attacks simultaneously target many devices or workloads within target
organizations at once.

As a preventive measure, most organizations conduct due-diligence security
assessments of software they plan to use. This is important for weeding out
basic security holes but is insufficient for catching and stopping more advanced
adversaries. By monitoring network behavior, particularly inside of your
environment, organizations can catch the advanced attackers that sneak through.


ENTERPRISE SOFTWARE SUPPLY CHAIN ATTACKS: THE SUNBURST MODEL

The Attack: The SolarWinds SUNBURST attack is the biggest supply chain attack in
recent memory to exploit a major, well-established software provider. The
attackers first compromised SolarWinds, then inserted malicious code into the
build server for the SolarWinds Orion infrastructure monitoring and management
software. From that moment, SolarWinds customers who updated their software
received the malicious code. All told, 18,000 customers were potentially
impacted.

Far beyond SolarWinds, the software supply chain attack surface is getting
bigger. There was a 24% increase in the number of applications used by
enterprises from 2016 to 2022, according to Okta, an identity and access
management provider. On average, Okta reports that their large customers (over
2,000 employees) use an average of 187 applications, each of which represents a
potential intrusion pathway for supply chain attackers. It must be noted here
that Okta itself was the victim of a software supply chain attack that was
disclosed in March, 2022.

The Blind Spot: Application Servers and Software Update Pathways
Enterprise software-based supply chain attacks are very likely to use the update
mechanism as a delivery pathway. This was the case in SUNBURST as well as in the
legendary NotPetya attack which abused the update servers of Ukrainian
productivity software MeDocs to deliver ransomware that nearly destroyed global
shipping giant Maersk.

The Solution: Behavioral Analysis of Application Servers
After a device downloads a malicious software update, it is likely to start
behaving differently than normal. Sophisticated attackers may build in a period
of dormancy so that defenders have a harder time attributing the new malicious
behavior to the software update. If the first compromised device is a dedicated
server for enterprise software such as SolarWinds Orion, then it likely has a
fairly narrow range of expected behaviors, at least compared to a workstation.
Any aberration would stick out like a sore thumb to a sufficiently sophisticated
behavioral analysis system.

Unfortunately, dedicated servers are also less likely to be monitored
effectively by endpoint detection and response agents or activity logging
processes. Even devices that are being monitored may yield threat signals that
are difficult to interpret without the appropriate context. Security teams and
security tool developers need to develop greater understanding of the types of
observable behavior that are most likely to indicate a threat.

Furthermore, watching for behavioral changes in devices that receive software
updates from outside your organization can reveal other risks that may not be
related to intentional supply chain attacks. Since third-party software often
requires frequent communication back to the vendor and regular updates, it is
vital to monitor these communications and other behavior of the app servers to
detect the early signs of malicious behavior indicating a supply chain attack.

Software makers sometimes publish a software bill of materials (SBOM) to
disclose components and open source packages that are present in commercial
software. It would be valuable for security teams to also request disclosure of
any commercial software's expected network behavior.


OPEN SOURCE SOFTWARE VULNERABILITY: THE LOG4SHELL MODEL

The Vulnerability: Log4Shell (CVE-2021-44228) is a vulnerability in a widely
used piece of open-source software called Log4j. The vulnerability allows
attackers to gain remote code execution capabilities on any device where the
Log4j library is being used by an internet-accessible server in a way that
allows an attacker to transmit values to the Log4j library. For example,
Minecraft used Log4j in such a way that chat messages within Minecraft servers
might be ingested by Log4j, leaving a pathway open for attackers.

This open-source library may be present on any of the three billion or more
devices that run Java. When the vulnerability was first disclosed,
low-sophistication attackers immediately started exploiting it to install
cryptocurrency miners. As time went on, more sophisticated attacks began using
Log4Shell for everything from ransomware to distribution of DDOS malware.

Open-source software is also a common target for attackers to intentionally
introduce malicious code. Attackers may simply submit code to open source
projects and hope that it is not caught by code reviewers. They may also use a
technique called "dependency confusion" to publish open-source software.

Learn More: Detect Log4Shell in Encrypted Traffic

The Blind Spot: Unknown, Unmanaged Hardware and Software Components
If you have unmanaged devices or shadow IT in your environment that runs Java
with the Log4j package, you may be vulnerable. Unless you have a complete
inventory of all networked devices in your environment, you may be exposed.
Because Log4j is such a widely used open-source component, it may be present in
innumerable devices and applications. To effectively secure your organization,
you need a mechanism for discovering every device in your environment, and for
detecting Log4Shell activity to and from that device, indicating that it is
actively under attack or already compromised.

The Solution: Real-time inventory of all software running in your environment
Most organizations conduct some level of due diligence before bringing new
third-party software into their environment. Often, this involves getting a SBOM
from the software vendor. In theory, this allows defenders to keep an inventory
of all software running in the environment, including potentially vulnerable
open source components such as Log4j.

In practice, an SBOM can go out of date quickly, or may not be supplied by the
vendor at all. A continuously updated asset inventory driven by real-time
visibility into the devices and workloads operating on your network gives you a
better chance of discovering vulnerable or compromised devices on your network,
so you can stop the attack from successfully exfiltrating or encrypting your
data for ransom.


MANAGED SERVICES AND SOFTWARE RANSOMWARE ATTACK: THE KASEYA VSA MODEL

The Attack: In the highly publicized Kaseya VSA attack of 2021, conducted by the
REvil ransomware group, a remote monitoring and management software was hijacked
with the intent of attacking downstream targets. Kaseya VSA software is used by
managed service providers (MSPs) who remotely maintain and monitor IT systems
for their own customers. By exploiting a vulnerability in Kaseya VSA, the REvil
ransomware group was able to distribute ransomware two steps downstream in the
IT environments of customers of MSPs using Kaseya's VSA software. The attack is
thought to have impacted up to 1,500 companies.

The Blind Spot: Internet-Facing Devices, Devices Under Remote Management, and
Communication Pathways with Remote Managed Service Providers
In order to employ MSPs for services such as remote IT monitoring, businesses
need to give the MSP access to internal IT systems. This requires a certain
level of trust and risk acceptance. No matter how much vendor assessment due
diligence you do ahead of time, it is impossible to verify with 100% certainty
that an MSP will not expose you to a cyberattack.

The Solution: Monitor Network Behavior of Devices and Data Flows Accessed by
MSPs
Beyond the due diligence, you should also actively monitor any channels that the
MSP can use to communicate in and out of your environment. Devices that an MSP
has access to should have their behavior observed and analyzed, particularly if
the devices have privileged access to sensitive data. This may be a challenge,
as the reason that many companies onboard MSPs is that they don't have the
staffing or resources to manage their own systems in house.

Organizations that cannot closely monitor the access paths of an MSP need to be
aware of the risk that they are accepting by giving a third party privileged
access to the network. This risk represented by MSP connections grows rapidly as
advanced attackers get better at accessing and misusing these connections, and
as MSP usage increases. These shifts must be taken into account in risk
calculations by security teams at companies of all sizes.


CLOUD INFRASTRUCTURE AND MALICIOUS INSIDERS (IAAS, PAAS, SAAS): THE CAPITAL ONE
MODEL

The Attack: An Amazon employee used insider knowledge of Amazon Web Services
(AWS) vulnerabilities in specific AWS products being used by Capital One. The
Amazon employee stole an estimated 100 million credit card applications
containing private, personally identifiable information from the bank.

The Blind Spots: Cloud Infrastructure & User Behavior
Any business that uses a public cloud provider such as AWS, Google Cloud
Platform, or Microsoft Azure is placing a great deal of trust in their cloud
provider and accepting the risk that, should their cloud provider be
compromised, their own data may be as well. In the case of the Capital One hack,
an insider from Amazon understood both the holes in AWS, and how they could be
exploited against AWS customers.

The Solution: Monitor Network Behavior in IaaS, PaaS, and SaaS Solutions
Whether a malicious insider is using legitimate credentials to steal data, or an
outsider has gained access to credentials, the fact remains that behavioral
analysis is the best, and often the only way to catch them.

When a legitimate service in a dynamic, growing business starts doing something
malicious, it can be difficult to catch—it isn't as if an intruder has loudly
broken in and started smashing things. The behaviors in such an attack may be
much more subtle, but can still lead to enormous damage.

One of CISA's recommendations for defending against supply chain attacks is to
develop baselines for business-critical devices and data flows, and to use AI/ML
behavior analysis to detect anomalous deviations from those baselines. When a
user logs in from an unusual location, at an unusual time, or accesses a data
set they don't normally access, that can serve as an early warning that your
enterprise is under attack.

Malicious employees are not always thought of in the context of supply chain
attacks. However, if an employee of a contractor or software vendor chooses to
attack you, as happened to CapitalOne, your ability to detect their behavior
early could enable you to prevent them from stealing data, which averts an
extended incident response and public disclosure. Behavioral monitoring of IaaS,
PaaS, and SaaS systems is a vital component of a defense in depth strategy
against supply chain attacks that attempt to use the cloud as an intrusion
vector.


BRING YOUR OWN DEVICE: THE PRE-LOADED MALWARE PROBLEM

The Attack: The move to remote work caused a spike in the use of employee
personal devices for work purposes. That means more personal smartphones and
laptops connecting to sensitive company resources.

Android devices have been discovered to contain pre-loaded malware straight from
the manufacturer many times over the past several years. The Chinese technology
company Huawei, known for producing budget Android phones, is banned from
getting network equipment licenses in the U.S. due to security concerns. The
same phenomenon has been observed in cheap IoT devices.

It's also true that many devices include software used to harvest information
about user behavior and send it back to the parent company for use in
advertising targeting. From malicious attackers to data-hungry advertisers, the
software and hardware supply chain is rife with individuals and businesses
looking for ways to gather monetizable data. Enterprises hoping to keep control
of their own data face a growing challenge in their own technology supply chain.

The Blind Spot: BYOD and unmanaged, unsanctioned devices
One of the biggest challenges in keeping devices with pre-loaded malware out of
your environment is knowing that they're there in the first place. Most
organizations do not have a complete inventory of devices connected to their
network, nor the software they are running.

The Solution: Network intelligence driven asset inventory
When a new supply chain attack is disclosed, the first step to secure your
organization is to find out if any of the affected devices are present in your
environment. This can be an incredibly difficult and drawn-out process, during
which attackers can expand their access in your environment and cause real harm.


HOW TO REDUCE YOUR SUPPLY CHAIN RISK

No matter how effective your prevention strategy may seem, it is always
necessary to have steps in place to detect and respond to the presence and
exploitation of vulnerable software in your environment. Some steps recommended
by CISA to mitigate and stay resilient in the case of a successful exploit in
your environment include:

CISA Recommendations:

 * Maintain an information system component inventory
 * Identify your critical data and baseline how that data flows between
   processes or systems.
 * Deploy analytics based on artificial intelligence and machine learning to
   detect anomalies in data flows which may be early indicators of a threat.
 * Apply basic network segmentation to isolate different parts of the
   enterprise.
 * Monitor endpoints and/or servers for unexplained deviations from your
   software inventory.

Learn More: Third-Party Security Risk

 * Posted in Cybersecurity, Industry Trends
 * See other posts by Chase Snyder


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do about them.

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