Another Example of How Cloud eq Others Computers

March 2, 2017

I have a sticker on my laptop reminding me that “The cloud is just other people’s computers.” (from StickerMule)  There is no cloud magic.  If you extend your global Financial Services operations into the cloud, it needs to be clearly and verifiably aligned with your risk management practices, your compliance obligations, your contracts, and the assumptions of your various constituencies.  That is a tall order.  Scan the rest of this short outline and then remember to critically evaluate the claims of the hypesters & hucksters who sell “cloud” as the solution to virtually any of your challenges.

Amazon reminded all of us of that fact this week when maintenance on some of their cloud servers cascaded into a much larger 2 hour service outage.

No data breach.  No hack.  Nothing that suggests hostile intent.  Just a reminder that the cloud is a huge, distributed pile of “other people’s computers.”  They have all the hardware and software engineering, operations, and life-cycle management challenges that your staff find in their own data centers.  A key difference, though, is that they are also of fantastic scale, massively shared, and their architecture & operations may not align with global Financial Services norms and obligations.

Amazon reported that the following services were unavailable for up to two and half hours Tuesday Morning (28 Feb, 2017):

  • S3 storage
  • The S3 console
  • Amazon Elastic Compute Cloud (EC2) new instance launches
  • Amazon Elastic Block Store (EBS) volumes
  • AWS Lambda

This resulted in major customer outages.

Here is how Amazon described the outage:

  1. “…on the morning of February 28th. The Amazon Simple Storage Service (S3) team was debugging (a billing system) issue…”
  2. “At 9:37AM PST, an authorized S3 team member using an established playbook executed a command which was intended to remove a small number of servers for one of the S3 subsystems that is used by the S3 billing process.”
  3. “Unfortunately, one of the inputs to the command was entered incorrectly and a larger set of servers was removed than intended.”
  4. “The servers that were inadvertently removed supported two other S3 subsystems.”
  5. “One of these subsystems, the index subsystem, manages the metadata and location information of all S3 objects in the region. This subsystem is necessary to serve all GET, LIST, PUT, and DELETE requests.”
  6. “The second subsystem, the placement subsystem, manages allocation of new storage and requires the index subsystem to be functioning properly to correctly operate. The placement subsystem is used during PUT requests to allocate storage for new objects.”
  7. “Removing a significant portion of the capacity caused each of these systems to require a full restart.”
  8. “While these subsystems were being restarted, S3 was unable to service requests.”
  9. “Other AWS services in the US-EAST-1 Region that rely on S3 for storage, including the S3 console, Amazon Elastic Compute Cloud (EC2) new instance launches, Amazon Elastic Block Store (EBS) volumes (when data was needed from a S3 snapshot), and AWS Lambda were also impacted while the S3 APIs were unavailable.”

There is no magic in the cloud. It is engineered and operated by people. Alignment between your corporate culture, your corporate compliance obligations, your contractual obligations, and those of your cloud providers is critical to your success in global Financial Services. If those cloud computers and the activities by armies of humans who manage them are not well aligned with your needs and obligations, then you are simply depending on “hope” — one of the most feeble risk management practices. You are warned — again.

What do you think?

“The embarrassing reason behind Amazon’s huge cloud computing outage this week.”
By Brian Fung, March 2

“Summary of the Amazon S3 Service Disruption in the Northern Virginia (US-EAST-1) Region.”

Make use of OWASP Mobile Top 10

February 14, 2017

OWASP “Mobile Security Project” team updated their Mobile Top 10 Vulnerability list this week. {in the process they broke some of their links, if you hit one, just use the 2015 content for now:}

I was in a meeting yesterday with a group reviewing one facet of an evolving proposal for Office 365 as the primary collaboration and document storage infrastructure for some business operations.

Office 365 in global Financial Services? Yup. Technology pundits-for-sale, tech wannabes, and some who are still intoxicated by their mobile technology have been effective in their efforts to sell “cloud-first.” One outcome of some types of “cloud-enabled” operations is the introduction of mobile client platforms. Even though global Financial Services enterprises tend to hold many hundreds of billions or trillions of other people’s dollars, some sell (even unmanaged) mobile platforms as risk appropriate and within the risk tolerance of all relevant constituencies… My working assumption is that those gigantic piles of assets and the power that can result from them necessarily attract a certain amount of hostile attention. That attention requires that our software, infrastructure, and operations be resistant enough to attack to meet all relevant risk management obligations (contracts, laws, regulations, and more). This scenario seems like a mismatch — but I digress.

So, we were attempting to work through a risk review of Mobile Skype for Business integration. That raised a number of issues, one being the risks associated with the software itself. The mobile application ecosystem is composed of software that executes & stores information locally on mobile devices as well as software running on servers in any number of safe and wildly-unsafe environments. Under most circumstances the Internet is in between. By definition this describes a risk-rich environment.

All hostile parties on earth are also attached to the Internet. As a result, software connected to the Internet must be sufficiently resistant to attack (where “sufficient” is associated with a given business and technology context). Mobile applications are hosted on devices and within operating systems having a relatively short history. I believe that they have tended to prize features and “cool” over effective risk management for much of that history (and many would argue that they continue to do so). As a result, the mobile software ecosystem has a somewhat unique vulnerability profile compared to software hosted in other environments.

The OWASP “Mobile Security Project” team research resulted in the Top 10 mobile vulnerabilities list below. I think it is a useful tool to support those involved in thinking about writing or buying software for that ecosystem. You can use it in a variety of ways. Challenge your vendors to show you evidence (yes, real evidence) that they have dealt with each of these risks. You can do the same with your IT architects or anyone who plays the role of an architect for periods of time — then do it again with your developers and testers later. Business analysts, or those who act as one some of the time should also work through adding these as requirements as needed.  Another way to use this Mobile Top 10 resource is to help you identify and think through the attack surface of an existing or proposed mobile-enabled applications, infrastructure, and operations.

OK, I hope that provides enough context to make use of the resource below.


Mobile Top 10 2016-Top 10

M1 – Improper Platform Usage
This category covers misuse of a platform feature or failure to use platform security controls. It might include Android intents, platform permissions, misuse of TouchID, the Keychain, or some other security control that is part of the mobile operating system. There are several ways that mobile apps can experience this risk.

M2 – Insecure Data Storage  This new category is a combination of M2 + M4 from Mobile Top Ten 2014. This covers insecure data storage and unintended data leakage.

M3 – Insecure Communication This covers poor handshaking, incorrect SSL versions, weak negotiation, cleartext communication of sensitive assets, etc.

M4 – Insecure Authentication This category captures notions of authenticating the end user or bad session management. This can include:
Failing to identify the user at all when that should be required
Failure to maintain the user’s identity when it is required
Weaknesses in session management

M5 – Insufficient Cryptography The code applies cryptography to a sensitive information asset. However, the cryptography is insufficient in some way. Note that anything and everything related to TLS or SSL goes in M3. Also, if the app fails to use cryptography at all when it should, that probably belongs in M2. This category is for issues where cryptography was attempted, but it wasn’t done correctly.

M6 – Insecure Authorization This is a category to capture any failures in authorization (e.g., authorization decisions in the client side, forced browsing, etc.). It is distinct from authentication issues (e.g., device enrolment, user identification, etc.).

If the app does not authenticate users at all in a situation where it should (e.g., granting anonymous access to some resource or service when authenticated and authorized access is required), then that is an authentication failure not an authorization failure.

M7 – Client Code Quality
This was the “Security Decisions Via Untrusted Inputs”, one of our lesser-used categories. This would be the catch-all for code-level implementation problems in the mobile client. That’s distinct from server-side coding mistakes. This would capture things like buffer overflows, format string vulnerabilities, and various other code-level mistakes where the solution is to rewrite some code that’s running on the mobile device.

M8 – Code Tampering
This category covers binary patching, local resource modification, method hooking, method swizzling, and dynamic memory modification.

Once the application is delivered to the mobile device, the code and data resources are resident there. An attacker can either directly modify the code, change the contents of memory dynamically, change or replace the system APIs that the application uses, or modify the application’s data and resources. This can provide the attacker a direct method of subverting the intended use of the software for personal or monetary gain.

M9 – Reverse Engineering
This category includes analysis of the final core binary to determine its source code, libraries, algorithms, and other assets. Software such as IDA Pro, Hopper, otool, and other binary inspection tools give the attacker insight into the inner workings of the application. This may be used to exploit other nascent vulnerabilities in the application, as well as revealing information about back end servers, cryptographic constants and ciphers, and intellectual property.

M10 – Extraneous Functionality Often, developers include hidden backdoor functionality or other internal development security controls that are not intended to be released into a production environment. For example, a developer may accidentally include a password as a comment in a hybrid app. Another example includes disabling of 2-factor authentication during testing.

%d bloggers like this: