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Security firm identifies hacker behind Collection 1 leak, as Collection 2-5 become public

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The threat intel team at Recorded Future, a US-based cyber-security firm, claims to have identified the hacker who assembled and then sold a massive collection of email addresses and passwords known as Collection #1.

The company’s experts believe a hacker going online by the pseudonym of “C0rpz” is the person who rigorously and meticulously collected billions of user records over the past three years. This includes records from companies that were hacked in the past and whose data was posted or sold online.

Recorded Future says that C0rpz isn’t only responsible for assembling and selling Collection #1, a data trove of 773 million unique email addresses and just under 22 million unique passwords that grabbed headlines at the start of the year, but many more other data collections.

Researchers say Collection #1 was part of a larger package containing seven other “collections” in total.

  • “ANTIPUBLIC #1” (102.04 GB)
  • “AP MYR & ZABUGOR #2” (19.49 GB)
  • “Collection #1” (87.18 GB)
  • “Collection #2” (528.50 GB)
  • “Collection #3” (37.18 GB)
  • “Collection #4” (178.58 GB)
  • “Collection #5” (40.56 GB)

Of the seven, the AntiPublic collection had already leaked online and had been shared among other hackers since April 2017. The rest appear to be new items, that hadn’t been seen online until this month.

In total, these databases appear to contain more than 3.5 billion user records, in combinations such as email addresses and passwords, usernames and passwords, and cell phone numbers and passwords.

Recorded Future says C0rpz sold this data to other hackers, who are now disseminating it for free via online sharing portal MEGA and via torrent magnet links.

Some of the hackers who bought this data from C0rpz are Sanix, another hacker who infosec journalist Brian Krebs first identified as the source of Collection #1, and Clorox, the person who initially shared Collection #1 for free on Raid Forums at the start of the month, inadvertently exposing this huge data trove to security researchers and journalists.

“Neither of three actors has ever been on our radar,” Andrei Barysevich, Director of Advanced Collection at Recorded Future, told ZDNet in an email today. “However, we did find a previous online footprint on all actors, which does not suggest that these actors are sophisticated.”

Barysevich also told ZDNet that his team didn’t find “any proof” that the named three, including C0rpz, are hackers, responsible for actual breaches at any company.

“We believe they have merely aggregated the data over the time,” Barysevich told us.

But Recorded Future experts aren’t 100 percent sure in their attribution of these data collections to C0rpz –as no attribution that involves self-aggrandizing and braggadocio hackers can truly ever be 100 percent. Experts are also looking into another possible source of the leak, which they did not name yet.

“On January 10, 2019, an actor on a well-known Russian-speaking hacker forum posted both a magnet link and a direct download link to a database containing 100 billion user accounts hosted on a personal website,” Recorded Future said in a report published earlier today. “The following week, the actor made clear that the data dump referenced in Troy Hunt’s [Collection #1] article was included in their dump as well.”

To be fair, it doesn’t really matter who assembled, sold, or shared this data in the end. All this data was previously available for years. The difference was that in past, this data was shared in individual packages, per site of origin.

It’s only become a recent trend for data hoarders (hackers who collected data from hacked sites) to assemble these smaller leaks and breaches into gigantic packages.

This became a trend because more and more companies are getting hacked, and the value of individual leaks became smaller. Data sellers adapted and started merging leaks together to continue to make a profit.

There are likely hundreds of similar mega-packages being shared on hacking forums out of the public eye as we speak, which have not made the light of day yet.

Eventually, they will. When that happens, cyber-crime groups will collect these aggregated leaks, extract any new user records they don’t have, and use this information to spam our email inboxes, attempt brute-force attacks against our online accounts, or, even worse, use these details for extortion or financial fraud.

It is highly likely that most of our data has already leaked online by now. All, we, the users, can do is protect our accounts with strong passwords that are unique per site, enable multi-factor authentication wherever possible, and avoid entrusting our data to any company that asks for our details for no good reason.

Now, if we could only get journalists to stop blowing these “collections” out of proportion every time one of them surfaces online.

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Retrospective thoughts on KubeCon Europe 2022

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I’m not going to lie. As I sit on a plane flying away from Valencia, I confess to have been taken aback by the scale of Kubecon Europe this year. In my defence, I wasn’t alone the volume of attendees appeared to take conference organisers and exhibitors by surprise, illustrated by the notable lack of water, (I was told) t-shirts and (at various points) taxis.

Keynotes were filled to capacity, and there was a genuine buzz from participants which seemed to fall into two camps: the young and cool, and the more mature and soberly dressed.

My time was largely spent in one-on-one meetings, analyst/press conferences and walking the stands, so I can’t comment on the engineering sessions. Across the piece however, there was a genuine sense of Kubernetes now being about the how, rather than the whether. For one reason or another, companies have decided they want to gain the benefits of building and deploying distributed, container-based applications.

Strangely enough, this wasn’t being seen as some magical sword that can slay the dragons of legacy systems and open the way to digital transformation the kool-aid was as absent as the water. Ultimately, enterprises have accepted that, from an architectural standpoint and for applications in general, the Kubernetes model is as good as any available right now, as a non-proprietary, well-supported open standard that they can get behind.

Virtualisation-based options and platform stacks are too heavyweight; serverless architectures are more applicable to specific use cases. So, if you want to build an application and you want it to be future-safe, the Kubernetes target is the one to aim for.

Whether to adopt Kubernetes might be a done deal, but how to adopt certainly is not. The challenge is not with Kubernetes itself, but everything that needs to go around it to make resulting applications enterprise-ready.

For example, they need to operate in compliance environments; data needs to be managed, protected, and served into an environment that doesn’t care too much about the state; integration tools are required with external and legacy systems; development pipelines need to be in place, robust and value-focused; IT Operations need a clear view of what’s running whereas a bill of materials, and the health of individual clusters; and disaster recovery is a must.

Kubernetes doesn’t do these things, opening the door to an ecosystem of solution vendors and (often CNCF-backed) open source projects. I could drill into these areas Service Mesh, GitOps, orchestration, observability, and backup but the broader point is that they are all evolving and coalescing around the need. As they increase in capability, barriers to adoption reduce and the number of potential use cases grows.

All of which puts the industry at an interesting juncture. It’s not that tooling isn’t ready: organizations are already successfully deploying applications based on Kubernetes. In many cases, however, they are doing more work than they need developers need insider knowledge of target environments, interfaces need to be integrated rather than using third-party APIs, higher-order management tooling (such as AIOps) has to be custom-deployed rather than recognising the norms of Kubernetes operations.

Solutions do exist, but they tend to be coming from relatively new vendors that are feature rather than platform players, meaning that end-user organisations have to choose their partners wisely, then build and maintain development and management platforms themselves rather than using pre-integrated tools from a singe vendor.

None of this is a problem per se, but it does create overheads for adopters, even if they gain earlier benefits from adopting the Kubernetes model. The value of first-mover advantage has to be weighed against that of investing time and effort in the current state of tooling: as a travel company once told me, “we want to be the world’s best travel site, not the world’s best platform engineers.”

So, Kubernetes may be inevitable, but equally, it will become simpler, enabling organisations to apply the architecture to an increasingly broad set of scenarios. For organisations yet to make the step towards Kubernetes, now may still be a good time to run a proof of concept though in some ways, that sip has sailed perhaps focus the PoC on what it means for working practices and structures, rather than determining whether the concepts work at all.

Meanwhile and perhaps most importantly, now is a very good moment for organisations to look for what scenarios Kubernetes works best “out of the box”, working with providers and reviewing architectural patterns to deliver proven results against specific, high-value needs these are likely to be by industry and by the domain (I could dig into this, but did I mention that I’m sitting on a plane? ).

Jon Collins from Kubecon 2022

Kubernetes might be a done deal, but that doesn’t mean it should be adopted wholesale before some of the peripheral detail is ironed out.

The post Retrospective thoughts on KubeCon Europe 2022 appeared first on GigaOm.

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Security

Retrospective thoughts on Kubecon

Published

on

I’m not going to lie. As I sit on a plane flying away from Valencia, I confess to have been taken aback by the scale of Kubecon Europe this year. In my defence, I wasn’t alone the volume of attendees appeared to take conference organisers and exhibitors by surprise, illustrated by the notable lack of water, (I was told) t-shirts and (at various points) taxis.

Keynotes were filled to capacity, and there was a genuine buzz from participants which seemed to fall into two camps: the young and cool, and the more mature and soberly dressed.

My time was largely spent in one-on-one meetings, analyst/press conferences and walking the stands, so I can’t comment on the engineering sessions. Across the piece however, there was a genuine sense of Kubernetes now being about the how, rather than the whether. For one reason or another, companies have decided they want to gain the benefits of building and deploying distributed, container-based applications.

Strangely enough, this wasn’t being seen as some magical sword that can slay the dragons of legacy systems and open the way to digital transformation the kool-aid was as absent as the water. Ultimately, enterprises have accepted that, from an architectural standpoint and for applications in general, the Kubernetes model is as good as any available right now, as a non-proprietary, well-supported open standard that they can get behind.

Virtualisation-based options and platform stacks are too heavyweight; serverless architectures are more applicable to specific use cases. So, if you want to build an application and you want it to be future-safe, the Kubernetes target is the one to aim for.

Whether to adopt Kubernetes might be a done deal, but how to adopt certainly is not. The challenge is not with Kubernetes itself, but everything that needs to go around it to make resulting applications enterprise-ready.

For example, they need to operate in compliance environments; data needs to be managed, protected, and served into an environment that doesn’t care too much about the state; integration tools are required with external and legacy systems; development pipelines need to be in place, robust and value-focused; IT Operations need a clear view of what’s running whereas a bill of materials, and the health of individual clusters; and disaster recovery is a must.

Kubernetes doesn’t do these things, opening the door to an ecosystem of solution vendors and (often CNCF-backed) open source projects. I could drill into these areas Service Mesh, GitOps, orchestration, observability, and backup but the broader point is that they are all evolving and coalescing around the need. As they increase in capability, barriers to adoption reduce and the number of potential use cases grows.

All of which puts the industry at an interesting juncture. It’s not that tooling isn’t ready: organizations are already successfully deploying applications based on Kubernetes. In many cases, however, they are doing more work than they need developers need insider knowledge of target environments, interfaces need to be integrated rather than using third-party APIs, higher-order management tooling (such as AIOps) has to be custom-deployed rather than recognising the norms of Kubernetes operations.

Solutions do exist, but they tend to be coming from relatively new vendors that are feature rather than platform players, meaning that end-user organisations have to choose their partners wisely, then build and maintain development and management platforms themselves rather than using pre-integrated tools from a singe vendor.

None of this is a problem per se, but it does create overheads for adopters, even if they gain earlier benefits from adopting the Kubernetes model. The value of first-mover advantage has to be weighed against that of investing time and effort in the current state of tooling: as a travel company once told me, “we want to be the world’s best travel site, not the world’s best platform engineers.”

So, Kubernetes may be inevitable, but equally, it will become simpler, enabling organisations to apply the architecture to an increasingly broad set of scenarios. For organisations yet to make the step towards Kubernetes, now may still be a good time to run a proof of concept though in some ways, that sip has sailed perhaps focus the PoC on what it means for working practices and structures, rather than determining whether the concepts work at all.

Meanwhile and perhaps most importantly, now is a very good moment for organisations to look for what scenarios Kubernetes works best “out of the box”, working with providers and reviewing architectural patterns to deliver proven results against specific, high-value needs these are likely to be by industry and by the domain (I could dig into this, but did I mention that I’m sitting on a plane? ).

Jon Collins from Kubecon 2022

Kubernetes might be a done deal, but that doesn’t mean it should be adopted wholesale before some of the peripheral detail is ironed out.

The post Retrospective thoughts on Kubecon appeared first on GigaOm.

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Defeating Distributed Denial of Service Attacks

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It seems like every day the news brings new stories of cyberattacks. Whether ransomware, malware, crippling viruses, or more frequently of late—distributed denial of service (DDoS) attacks. According to Infosec magazine, in the first half of 2020, there was a 151% increase in the number of DDoS attacks compared to the same period the previous year. That same report states experts predict as many as 15.4 million DDoS attacks within the next two years.

These attacks can be difficult to detect until it’s too late, and then they can be challenging to defend against. There are solutions available, but there is no one magic bullet. As Alastair Cooke points out in his recent “GigaOm Radar for DDoS Protection” report, there are different categories of DDoS attacks.

And different types of attacks require different types of defenses. You’ll want to adopt each of these three defense strategies against DDoS attacks to a certain degree, as attackers are never going to limit themselves to a single attack vector:

Network Defense: Attacks targeting the OS and network operate at either Layer 3 or Layer 4 of the OSI stack. These attacks don’t flood the servers with application requests but attempt to exhaust TCP/IP resources on the supporting infrastructure. DDoS protection solutions defending against network attacks identify the attack behavior and absorb it into the platform.

Application Defense: Other DDoS attacks target the actual website itself or the web server application by overwhelming the site with random data and wasting resources. DDoS protection against these attacks might handle SSL decryption with hardware-based cryptography and prevent invalid data from reaching web servers.

Defense by Scale: There have been massive DDoS attacks, and they show no signs of stopping. The key to successfully defending against a DDoS attack is to have a scalable platform capable of deflecting an attack led by a million bots with hundreds of gigabits per second of network throughput.

Table 1. Impact of Features on Metrics
[chart id=”1001387″ show=”table”]

DDoS attacks are growing more frequent and more powerful and sophisticated. Amazon reports mitigating a massive DDoS attack a couple of years ago in which peak traffic volume reached 2.3 Tbps. Deploying DDoS protection across the spectrum of attack vectors is no longer a “nice to have,” but a necessity.

In his report, Cooke concludes that “Any DDoS protection product is only part of an overall strategy, not a silver bullet for denial-of-service hazards.” Evaluate your organization and your needs, read more about each solution evaluated in the Radar report, and carefully match the right DDoS solutions to best suit your needs.

Learn More About the Reports: Gigaom Key Criteria for DDoS, and Gigaom Radar for DDoS

The post Defeating Distributed Denial of Service Attacks appeared first on GigaOm.

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