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Security: Domain Name System, Department of Homeland Security, and Underclocking the ESP8266 Leads to WIFI Weirdness

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  • A DNS hijacking wave is targeting companies at an almost unprecedented scale

    The attacks, which security firm FireEye said have been active since January 2017, use three different ways to manipulate the Domain Name System records that allow computers to find a company's computers on the Internet. By replacing the legitimate IP address for a domain such as with a booby-trapped address, attackers can cause to carry out a variety of malicious activities, including harvesting user’s login credentials. The techniques detected by FireEye are particularly effective, because they allow attackers to obtain valid TLS certificates that prevent browsers from detecting the hijacking.

  • Worries mount as cybersecurity agency struggles amid shutdown

    Former Department of Homeland Security (DHS) officials and lawmakers fear the shutdown, now in its 20th day, could have both short- and long-term effects, hurting the new Cybersecurity and Infrastructure Security Agency’s (CISA) efforts to get off the ground and potentially pushing existing talent out the door.

  • Underclocking the ESP8266 Leads to WIFI Weirdness

    Now it was time for another of those basic questions. What would happen if you did the same thing to a second ESP8266? Much to his surprise, [CNLohr] discovered that the two devices could still communicate successfully as long as their BBPLL clock speed was the same. From an outsider’s perspective it looked like gibberish, but to the two ESPs which had been slowed by the same amount, everything worked as expected even though the 802.11 standards say it shouldn’t.

    So what can you do with this? The most obvious application is a “stealth” WiFi connection between ESP8266s which wouldn’t show up to normal devices, a communications channel invisible to all but the most astute eavesdropper. [CNLohr] has made all the source code to pull this trick off public on GitHub, and it should be interesting to see what kind of applications (if any) hackers find for this standards-breaking behavior.

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    As a data scientist consultant, I want to make impact with my machine learning models. However, this is easier said than done. When starting a new project, it starts with playing around with the data in a Jupyter notebook. Once you’ve got a full understanding of what data you’re dealing with and have aligned with the client on what steps to take, one of the outcomes can be to create a predictive model. You get excited and go back to your notebook to make the best model possible. The model and the results are presented and everyone is happy. The client wants to run the model in their infrastructure to test if they can really create the expected impact. Also, when people can use the model, you get the input necessary to improve it step by step. But how can we quickly do this, given that the client has some complicated infrastructure that you might not be familiar with?
  • What is Small Scale Scrum?
    Agile is fast becoming a mainstream way industries act, behave, and work as they look to improve efficiency, minimize costs, and empower staff. Most software developers naturally think, act, and work this way, and alignment towards agile software methodologies has gathered pace in recent years. VersionOne’s 2018 State of Agile report shows that scrum and its variants remain the most popular implementation of agile. This is in part due to changes made to the Scrum Guide’s wording in recent years that make it more amenable to non-software industries.
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Security: Updates, Reproducible Builds and More

  • Security updates for Wednesday
  • Reproducible Builds: Weekly report #194
    Here’s what happened in the Reproducible Builds effort between Sunday January 6 and Saturday January 12 2019...
  • ES File Explorer Has A Hidden Web Server; Data Of 500 Million Users At Risk
  • The Evil-Twin Framework: A tool for testing WiFi security
    The increasing number of devices that connect over-the-air to the internet over-the-air and the wide availability of WiFi access points provide many opportunities for attackers to exploit users. By tricking users to connect to rogue access points, hackers gain full control over the users' network connection, which allows them to sniff and alter traffic, redirect users to malicious sites, and launch other attacks over the network.. To protect users and teach them to avoid risky online behaviors, security auditors and researchers must evaluate users' security practices and understand the reasons they connect to WiFi access points without being confident they are safe. There are a significant number of tools that can conduct WiFi audits, but no single tool can test the many different attack scenarios and none of the tools integrate well with one another. The Evil-Twin Framework (ETF) aims to fix these problems in the WiFi auditing process by enabling auditors to examine multiple scenarios and integrate multiple tools. This article describes the framework and its functionalities, then provides some examples to show how it can be used.
  • KDE Plasma5 – Jan ’19 release for Slackware
    Here is your monthly refresh for the best Desktop Environment you will find for Linux. I just uploaded “KDE-5_19.01” to the ‘ktown‘ repository. As always, these packages are meant to be installed on a Slackware-current which has had its KDE4 removed first. These packages will not work on Slackware 14.2. It looks like Slackware is not going to be blessed with Plasma5 any time soon, so I will no longer put an artificial limitation on the dependencies I think are required for a solid Plasma5 desktop experience. If Pat ever decides that Plasma5 has a place in the Slackware distro, he will have to make a judgement call on what KDE functionality can stay and what needs to go.

MongoDB "open-source" Server Side Public License rejected

MongoDB is open-source document NoSQL database with a problem. While very popular, cloud companies, such as Amazon Web Services (AWS), IBM Cloud, Scalegrid, and ObjectRocket has profited from it by offering it as a service while MongoDB Inc. hasn't been able to monetize it to the same degree. MongoDB's answer? Relicense the program under its new Server Side Public License (SSPL). Open-source powerhouse Red Hat's reaction? Drop MongoDB from Red Hat Enterprise Linux (RHEL) 8. Red Hat's Technical and Community Outreach Program Manager Tom Callaway explained, in a note stating MongoDB is being removed from Fedora Linux, that "It is the belief of Fedora that the SSPL is intentionally crafted to be aggressively discriminatory towards a specific class of users." Debian Linux had already dropped MongoDB from its distribution. Read more