One more (Zero Trust) thing: Cloudflare Intrusion Detection System
Today, we’re very excited to announce our plans for Cloudflare Intrusion Detection System, a new product that monitors your network and alerts when an attack is suspected. With deep integration into Cloudflare One, Cloudflare Intrusion Detection System gives you a bird’s eye view of your entire global network and inspects all traffic for bad behavior, regardless of whether it came from outside or inside your network.
Analyze your network without doing the legwork
Enterprises build firewall rules to keep their networks safe from external and internal threats. When bad actors try to attack a network, those firewalls check if the attack matches a rule pattern. If it does, the firewall steps in and blocks the attack.
Teams used to configure those rules across physical firewall appliances, frequently of different makes and models, deployed to physical locations. Yesterday, we announced Magic Firewall, Cloudflare’s network-level firewall delivered in our data centers around the world. Your team can write a firewall rule once, deploy it to Cloudflare, and our global network will protect your offices and data centers without the need for on-premises hardware.
This is great if you know where attacks are coming from. If you don’t have that level Continue reading
No, that’s not how warrantee expiration works
The NYPost Hunter Biden story has triggered a lot of sleuths obsessing on technical details trying to prove it's a hoax. So far, these claims are wrong. The story is certainly bad journalism aiming to misinform readers, but it has not yet been shown to be a hoax.
In this post, we look at claim the timelines don't match up with the manufacturing dates of the drives. Sleuths claim to prove the drives were manufactured after the events in question, based on serial numbers.
What this post will show is that the theory is wrong. Manufacturers pad warrantee periods. Thus, you can't assume a date of manufacture based upon the end of a warrantee period.
The story starts with Hunter Biden (or associates) dropping off a laptop at a repair shop because of water damage. The repair shop made a copy of the laptop's hard drive, stored on an external drive. Later, the FBI swooped in and confiscated both the laptop and that external drive.
The serial numbers of both devices are listed in the subpoena published by the NYPost:
You can enter these serial numbers in the support pages at Apple (FVFXC2MMHV29) and Western Digital (WX21A19ATFF3) to discover precisely Continue reading
No, font errors mean nothing in that NYPost article
The NYPost has an article on Hunter Biden emails. Critics claim that these don't look like emails, and that there are errors with the fonts, thus showing they are forgeries. This is false. This is how Apple's "Mail" app prints emails to a PDF file. The font errors are due to viewing PDF files within a web browser -- you don't see them in a PDF app.
In this blogpost, I prove this.
I'm going to do this by creating forged email. The point isn't to prove the email wasn't forged, it could easily have been -- the NYPost didn't do due diligence to prove they weren't forged. The point is simply that that these inexplicable problems aren't evidence of forgery. All emails printed by the Mail app to a PDF, then displayed with Scribd, will look the same way.
To start with, we are going to create a simple text file on the computer called "erratarob-conspire.eml". That's what email messages are at the core -- text files. I use Apple's "TextEdit" app on my MacBook to create the file.
Introducing Magic Firewall
Today we’re excited to announce Magic Firewall™, a network-level firewall delivered through Cloudflare to secure your enterprise. Magic Firewall covers your remote users, branch offices, data centers and cloud infrastructure. Best of all, it’s deeply integrated with Cloudflare One™, giving you a one-stop overview of everything that’s happening on your network.
Cloudflare Magic Transit™ secures IP subnets with the same DDoS protection technology that we built to keep our own global network secure. That helps ensure your network is safe from attack and available and it replaces physical appliances that have limits with Cloudflare’s network.
That still leaves some hardware onsite, though, for a different function: firewalls. Networks don’t just need protection from DDoS attacks; administrators need a way to set policies for all traffic entering and leaving the network. With Magic Firewall, we want to help your team deprecate those network firewall appliances and move that burden to the Cloudflare global network.
Firewall boxes are miserable to manage
Network firewalls have always been clunky. Not only are they expensive, they are bound by their own hardware constraints. If you need more CPU or memory, you have to buy more boxes. If you lack capacity, the entire network suffers, directly Continue reading
Yes, we can validate leaked emails
When emails leak, we can know whether they are authenticate or forged. It's the first question we should ask of today's leak of emails of Hunter Biden. It has a definitive answer.
Today's emails have "cryptographic signatures" inside the metadata. Such signatures have been common for the past decade as one way of controlling spam, to verify the sender is who they claim to be. These signatures verify not only the sender, but also that the contents have not been altered. In other words, it authenticates the document, who sent it, and when it was sent.
Crypto works. The only way to bypass these signatures is to hack into the servers. In other words, when we see a 6 year old message with a valid Gmail signature, we know either (a) it's valid or (b) they hacked into Gmail to steal the signing key. Since (b) is extremely unlikely, and if they could hack Google, they could a ton more important stuff with the information, we have to assume (a).
Your email client normally hides this metadata from you, because it's boring and humans rarely want to see it. But it's still there in the original email document. An email Continue reading
Evolution of Excel 4.0 Macro Weaponization – Continued
Introduction
The evolution of the Excel 4.0 (XL4) macro malware proceeds apace, with new variations and techniques regularly introduced. To understand the threat landscape, the VMware NSBU Threat Analysis Unit extended its previous research on XL4 macro malware (see the previous blog) to analyze new trends and techniques.
Against analysis engines, the new samples have some novel evasion techniques, and they perform attacks more reliably. These variants were observed in June and July. Figure 1 depicts the Excel 4.0 macro malware wave.
Figure 1: Malicious XL4 submission: May-Aug 2020
Broadly, the samples can be categorized into three clusters. Based on the variation of the samples in these three clusters, the weaponized documents can be grouped into multiple variants.
Cluster 1: Relative Reference
The samples in this cluster appeared in the month of June. They use FORMULA.FILL for obfuscation and to move the payload around the sheet. The formula uses relative references to access values stored in the sheet. There are variations in this category; Continue reading
Underhanded Code and Automation
So, software is eating the world—and you thought this was going to make things simpler, right? If you haven’t found the tradeoffs, you haven’t looked hard enough. I should trademark that or something! 
While a lot of folks are thinking about code quality and supply chain are common concerns, there are a lot of little “side trails” organizations do not tend to think about. One such was recently covered in a paper on underhanded code, which is code designed to pass a standard review which be used to harm the system later on. For instance, you might see at some spot—
if (buffer_size=REALLYLONGDECLAREDVARIABLENAMEHERE) {
/* do some stuff here */
} /* end of if */Can you spot what the problem might be? In C, the = is different than the ==. Which should it really be here? Even astute reviewers can easily miss this kind of detail—not least because it could be an intentional construction. Using a strongly typed language can help prevent this kind of thing, like Rust (listen to this episode of the Hedge for more information on Rust), but nothing beats having really good code formatting rules, even if they are apparently arbitrary, for catching Continue reading
Factcheck: Regeneron’s use of embryonic stem cells
This week, Trump's opponents misunderstood a Regeneron press release to conclude that the REG-COV2 treatment (which may have saved his life) was created from stem cells. When that was proven false, his opponents nonetheless deliberately misinterpreted events to conclude there was still an ethical paradox. I've read the scientific papers and it seems like this is an issue that can be understood with basic high-school science, so I thought I'd write up a detailed discussion.
The short answer is this:
- The drug is not manufactured in any way from human embryonic tissues.
- The drug was tested using fetal/embryonic cells, but ones almost 50 years old, not new ones.
- Republicans want to stop using new embryos, the ethical issue here is the continued use of old embryos, which Republican have consistently agreed to.
- Yes, the drug is still tainted by the "embryonic stem cell" issue -- just not in any of the ways that people claim it is, and not in a way that makes Republicans inconsistent.
- Almost all medical advances of the last few decades are similarly tainted.
Now let's do the long, complicated answer. This starts with a discussion of the science of Regeneron's REG-COV2 treatment.
A well-known Continue reading
Closing security gaps and eliminating blind spots in the data center: a software-based approach to securing east-west traffic
It’s no secret that traditional firewalls are ill–suited to securing east-west traffic. They’re static, inflexible, and require hair-pinning traffic around the data center. Traditional firewalls have no understanding of application context, resulting in rigid, static policies, and they don’t scale—so they’re unable to handle the massive workloads that make up modern data center traffic. As a result, many enterprises are forced to selectively secure workloads in the data center, creating gaps and blind spots in an organization’s security posture.
A software-based approach to securing east-west traffic changes the dynamic. Instead of hair-pinning traffic, VMware NSX Service-defined Firewall (SDFW) applies security policies to all workloads inside the data center, regardless of the underlying infrastructure. This provides deep context into every single workload.
Anyone interested in learning how the Service-defined Firewall can help them implement micro–segmentation and network segmentation, replace legacy physical hardware, or meet growing compliance needs and stop the lateral spread of threats, should check out the following sessions:
Creating Virtual Security Zones with NSX Firewall Continue reading
Meet compliance requirements cost-efficiently by implementing East-West security at scale
Compliance is more than a necessary evil. Sure, it’s complex, expensive, and largely driven by manual processes, but it’s also a business enabler. Without the ability to prove compliance, you wouldn’t be able to sell your products in certain markets or industries. But meeting compliance requirements can’t be cost-prohibitive: if the barriers are too high, it may not make business sense to target certain markets.
The goal, of course, is to meet and prove compliance requirements in the data center in a simple, cost-effective way. With the intent to provide safety and maintain the privacy of customers, new government and industry regulations are becoming more robust, and many require organizations to implement East-West security through micro-segmentation or network segmentation inside the data center. Of course, this is easier said than done. Bandwidth and latency issues caused by hair–pinning traffic between physical appliances inhibit network segmentation and micro-segmentation at scale.
VMware NSX applies a software-based approach to firewalling that delivers the simplicity and scalability necessary to secure East-West traffic. It does this with no blind spots or gaps in coverage— Continue reading
Intrinsic Security: Take security to the next level
The other guys will have you believe that more is better. You have a problem, just buy a solution and patch the hole. Security operations too siloed? Just cobble together some integrations and hope that everything works together.
VMware thinks differently. We believe that “integrated” is just another word for “complexity.” And clearly, complexity is the enemy of security.
Integrated security is bolted–on security. An example would be taking a hardware firewall and making it a blade in a data center switch. That’s what the other guys do. It makes it more convenient to deploy, but it doesn’t actually improve security.
Security always performs better—and is easier to operate—when it’s designed–in as opposed to bolted–on. At VMware, we call this intrinsic security. When we think about security, being able to build it in means you can leverage the intrinsic attributes of the infrastructure. We are not trying to take existing security solutions and integrate them. We are re-imagining how security could work.
Enterprises that want to learn how we’ve built security directly into Continue reading
Extend Your Fortinet FortiManager to Kubernetes
Companies are leveraging the power of Kubernetes to accelerate the delivery of resilient and scalable applications to meet the pace of business. These applications are highly dynamic, making it operationally challenging to securely connect to databases or other resources protected behind firewalls.
Visibility into Kubernetes Infrastructure is Essential
Lack of visibility has compliance implications. Like any on-premises or cloud-based networked services, Kubernetes production containers must address both organizational and regulatory security requirements. If compliance teams can’t trace the history of incidents across the entire infrastructure, they can’t adequately satisfy their audit requirements. To enable the successful transition of Kubernetes pilot projects to enterprise-wide application rollouts, companies must be able to extend their existing enterprise security architecture into the Kubernetes environment.
In response, Fortinet and Tigera jointly developed a suite of Calico Enterprise solutions for the Fortinet Security Fabric that deliver both north-south and east-west visibility and help ensure consistent control, security, and compliance. Key among these integrations is the FortiManager Calico Kubernetes Controller, which enables Kubernetes cluster management from the FortiManager centralized management platform in the Fortinet Fabric Management Center.
View and Control the Kubernetes Environment with FortiManager
The FortiManager Calico Kubernetes Controller translates FortiManager policies into granular Kubernetes network Continue reading
AppIQ – Unprecedented visibility that Aviatrix CoPilot brings
Earlier in my career, I worked as a Network Engineer in the high-frequency trading industry at a capital market exchange. It was the time when electronic trading was gaining heavy momentum as open outcry was receding. This was thanks mainly in part to vendors such as Arista who leveraged merchant silicon from Broadcom to lead … Continue reading AppIQ – Unprecedented visibility that Aviatrix CoPilot bringsIntroducing API Shield
APIs are the lifeblood of modern Internet-connected applications. Every millisecond they carry requests from mobile applications—place this food delivery order, “like” this picture—and directions to IoT devices—unlock the car door, start the wash cycle, my human just finished a 5k run—among countless other calls.
They’re also the target of widespread attacks designed to perform unauthorized actions or exfiltrate data, as data from Gartner increasingly shows: “by 2021, 90% of web-enabled applications will have more surface area for attack in the form of exposed APIs rather than the UI, up from 40% in 2019, and “Gartner predicted that, by 2022, API abuses will move from an infrequent to the most-frequent attack vector, resulting in data breaches for enterprise web applications”[1][2]. Of the 18 million requests per second that traverse Cloudflare’s network, 50% are directed towards APIs—with the majority of these requests blocked as malicious.
To combat these threats, Cloudflare is making it simple to secure APIs through the use of strong client certificate-based identity and strict schema-based validation. As of today, these capabilities are available free for all plans within our new “API Shield” offering. And as of today, the security benefits also extend to gRPC-based APIs, which use binary Continue reading
Speeding up HTTPS and HTTP/3 negotiation with… DNS
In late June, Cloudflare's resolver team noticed a spike in DNS requests for the 65479 Resource Record thanks to data exposed through our new Radar service. We began investigating and found these to be a part of Apple’s iOS14 beta release where they were testing out a new SVCB/HTTPS record type.
Once we saw that Apple was requesting this record type, and while the iOS 14 beta was still on-going, we rolled out support across the Cloudflare customer base.
This blog post explains what this new record type does and its significance, but there’s also a deeper story: Cloudflare customers get automatic support for new protocols like this.
That means that today if you’ve enabled HTTP/3 on an Apple device running iOS 14, when it needs to talk to a Cloudflare customer (say you browse to a Cloudflare-protected website, or use an app whose API is on Cloudflare) it can find the best way of making that connection automatically.
And if you’re a Cloudflare customer you have to do… absolutely nothing… to give Apple users the best connection to your Internet property.
Negotiating HTTP security and performance
Whenever a user types a URL in the browser box without specifying a Continue reading
Post-Quantum Cryptography: Hype and Reality
Post-quantum cryptography (algorithms resistant to quantum computer attacks) is quickly turning into another steaming pile of hype vigorously explored by various security vendors.
Christoph Jaggi made it his task to debunk at least some of the worst hype, collected information from people implementing real-life solutions in this domain, and wrote an excellent overview article explaining the potential threats, solutions, and current state-of-the art.
You (RFC 6919) OUGHT TO read his article before facing the first vendor presentation on the topic.
Post-Quantum Cryptography: Hype and Reality
Post-quantum cryptography (algorithms resistant to quantum computer attacks) is quickly turning into another steaming pile of hype vigorously explored by various security vendors.
Christoph Jaggi made it his task to debunk at least some of the worst hype, collected information from people implementing real-life solutions in this domain, and wrote an excellent overview article explaining the potential threats, solutions, and current state-of-the art.
You (RFC 6919) OUGHT TO read his article before facing the first vendor presentation on the topic.
Countering the Rise of Adversarial ML
The security community has found an important application for machine learning (ML) in its ongoing fight against cybercriminals. Many of us are turning to ML-powered security solutions like NSX Network Detection and Response that analyze network traffic for anomalous and suspicious activity. In turn, these ML solutions defend us from threats better than other solutions can by drawing on their evolving knowledge of what a network attack looks like.
Attackers are well-aware of the fact that security solutions are using AI and ML for security purposes. They also know that there are certain limitations when it comes to applying artificial intelligence to computer security. This explains why cyber criminals are leveraging ML to their advantage in something known as adversarial machine learning.
In this post I’ll explain just what adversarial machine learning is and what it is not. To start, the label itself can be a bit misleading. It sounds like criminals are actually using ML as part of their attack. But that is not the case. The simple explanation is that they’re using more conventional methods to understand how security solutions are using ML so that they can then figure out how to Continue reading
Detecting Malware Without Feature Engineering Using Deep Learning
Detecting Malware Without Feature Engineering Using Deep Learning
Nowadays, machine learning is routinely used in the detection of network attacks and the identification of malicious programs. In most ML-based approaches, each analysis sample (such as an executable program, an office document, or a network request) is analyzed and a number of features are extracted. For example, in the case of a binary program, one might extract the names of the library functions being invoked, the length of the sections of the executable, and so forth.
Then, a machine learning algorithm is given as input a set of known benign and known malicious samples (called the ground truth). The algorithm creates a model that, based on the values of the features contained in the samples, is the ground truth dataset, and the model is then able to classify known samples correctly. If the dataset from which the algorithm has learned is representative of the real-world domain, and if the features are relevant for discriminating between benign and malicious programs, chances are that the learned model will generalize and allow for the detection of previously unseen malicious samples.
The Role of Feature Engineering
Even though the description Continue reading
Machine Learning, Artificial Intelligence, and How the Two Fit into Information Security
Everywhere I look, someone’s talking about machine learning (ML) or artificial intelligence (AI). These two technologies are shaping important conversations in multiple sectors, especially marketing and sales, and are at risk of becoming overused and misunderstood buzzwords, if they haven’t already. The technologies have also drawn the attention of security professionals over the past few years, with some believing that AI is ready to transform information security.
Despite this hype, there’s still a lot of confusion around AI and ML and their utility for information security. In this blog post, I would like to correct some misperceptions. Let’s start by differentiating machine learning from artificial intelligence in general.
Machine Learning vs. Artificial Intelligence: Understanding the Difference
Artificial intelligence is the science of trying to replicate intelligent, human-like behavior. There are multiple ways of achieving this — machine learning is one of them. For example, a type of AI system that does not involve machine learning is an expert system, in which the skills and decision process of an expert are captured through a series of rules and heuristics.
Machine Learning is a specific type of AI. An ML system analyzes a large data set in Continue reading