CVE-2019-25076

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The TSS (Tuple Space Search) algorithm in Open vSwitch 2.x through 2.17.2 and 3.0.0 allows remote attackers to cause a denial of service (delays of legitimate traffic) via crafted packet data that requires excessive evaluation time within the packet classification algorithm for the MegaFlow cache, aka a Tuple Space Explosion (TSE) attack.

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North Korean state-sponsored hacker group Lazarus adds new RAT to its malware toolset

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Security researchers have discovered a new remote access Trojan (RAT) being used in attack campaigns this year by Lazarus, a threat actor tied to the North Korean government. The new RAT has been used alongside other malware implants attributed to Lazarus and it’s mainly used in the first stages of an attack.

Dubbed MagicRAT, the new Lazarus malware program was developed using Qt, a framework commonly used to develop graphical user interfaces for cross-platform applications. Since the Trojan doesn’t have a GUI, researchers from Cisco Talos believe the reason for using Qt was to make detection harder.

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Ransomware attacks on retailers rose 75% in 2021

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Retailers are fast becoming the favorite targets for ransomware criminals, with two out of three companies in the sector being attacked last year, according to a new report from cybersecurity firm Sophos. Attackers were able to successfully encrypt files in more than half of the attacks.

Of 422 retail IT professionals surveyed internationally, 77% said their organizations were hit by ransomware attacks in 2021. This is a 75% rise from 2020, the Sophos report noted.

“Retailers continue to suffer one of the highest rates of ransomware attacks of any industry. With more than three in four suffering an attack in 2021, it certainly brings a ransomware incident into the category of when, not if,” said Chester Wisniewski, principal research scientist at Sophos, in a statement accompanying the report.  

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Facebook Has No Idea What Data It Has

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This is from a court deposition:

Facebook’s stonewalling has been revealing on its own, providing variations on the same theme: It has amassed so much data on so many billions of people and organized it so confusingly that full transparency is impossible on a technical level. In the March 2022 hearing, Zarashaw and Steven Elia, a software engineering manager, described Facebook as a data-processing apparatus so complex that it defies understanding from within. The hearing amounted to two high-ranking engineers at one of the most powerful and resource-flush engineering outfits in history describing their product as an unknowable machine.

The special master at times seemed in disbelief, as when he questioned the engineers over whether any documentation existed for a particular Facebook subsystem. “Someone must have a diagram that says this is where this data is stored,” he said, according to the transcript. Zarashaw responded: “We have a somewhat strange engineering culture compared to most where we don’t generate a lot of artifacts during the engineering process. Effectively the code is its own design document often.” He quickly added, “For what it’s worth, this is terrifying to me when I first joined as well.”

[…]

Facebook’s inability to comprehend its own functioning took the hearing up to the edge of the metaphysical. At one point, the court-appointed special master noted that the “Download Your Information” file provided to the suit’s plaintiffs must not have included everything the company had stored on those individuals because it appears to have no idea what it truly stores on anyone. Can it be that Facebook’s designated tool for comprehensively downloading your information might not actually download all your information? This, again, is outside the boundaries of knowledge.

“The solution to this is unfortunately exactly the work that was done to create the DYI file itself,” noted Zarashaw. “And the thing I struggle with here is in order to find gaps in what may not be in DYI file, you would by definition need to do even more work than was done to generate the DYI files in the first place.”

The systemic fogginess of Facebook’s data storage made answering even the most basic question futile. At another point, the special master asked how one could find out which systems actually contain user data that was created through machine inference.

“I don’t know,” answered Zarashaw. “It’s a rather difficult conundrum.”

I’m not surprised. These systems are so complex that no humans understand them anymore. That allows us to do things we couldn’t do otherwise, but it’s also a problem.

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