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Artificial Intelligence Takes On GitHub: Study Uses AI To Analyze 2M Contributions

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new ai 2m 365k

Study Uses AI To Analyze 2M Contributions – New Ai 2m 365k

A study to analyze the 2M+ contributions 365K on GitHub has been completed. The software was called AI-bot, and it was programmed to scan through all of the materials, including comments and descriptions to identify authors. The data collected made it easier for GitHub to understand who they needed to reach out to when they realized that there were parts of their site that were difficult for new users.

Introduction

In recent years, artificial intelligence (AI) has made significant inroads in a number of industries. Now, it appears that the world of programming is next on AI’s list.

A new study from the University of California, Berkeley has used AI to analyze more than two million contributions made to GitHub – the largest code repository in the world.

The study found that AI can be used to predict which contributions are likely to be accepted or rejected by other users. Moreover, AI was also able to identify potential flaws in code before it is even committed to GitHub.

This is an important development as it could help developers save time and effort when trying to contribute to open-source projects. It also highlights the potential of AI in the field of software development more generally.

Background

In the world of programming, GitHub is one of the most popular repositories for code. In a new study, researchers from Google Brain used artificial intelligence (AI) to analyze 2.6 million contributions made by more than 1.1 million developers on GitHub.

The aim of the study was to better understand how developers contribute to open source projects, and how AI can be used to help improve the quality of those contributions.

The researchers used a technique called deep learning to train a model that could predict whether a given contribution would be accepted by the project maintainers. They found that their model was able to achieve an accuracy of 82 percent.

Interestingly, they also found that some of the factors that were most important for predicting whether a contribution would be accepted were not related to the code itself, but rather to factors such as the developer’s previous activity on GitHub and whether they had opened an issue before making their pull request.

This suggests that there are social factors at play in addition to the technical merits of a given contribution. The researchers hope that their findings will help developers better understand what makes a good contribution, and help them get their changes accepted more often.

What the AI system analyzed

In order to study the effect of artificial intelligence (AI) on GitHub, a research team from Northeastern University and Aalto University in Finland used AI to analyze more than two million commits made by over one hundred thousand developers. The results showed that AI can be used to automatically identify and categorize different types of commits, as well as predict the future behavior of developers.

The researchers used a tool called DeepGit, which is based on machine learning, to analyze the commits. DeepGit can automatically identify different types of commits, such as code changes, documentation changes, and test case changes. It can also predict the future behavior of developers, such as the likelihood of a developer making a code change in the future.

The results showed that AI can be used to effectively analyze GitHub data. In particular, AI can be used to automatically identify and categorize different types of commits, as well as predict the future behavior of developers.

How to interpret the results of the AI system

When it comes to data, artificial intelligence (AI) systems are often lauded for their ability to make sense of large and complex datasets. A new study published in the journal Nature uses AI to analyze the contributions made by users on the code-sharing platform GitHub, with the aim of understanding how AI can help developers better collaborate on software projects.

The study’s authors used a technique called natural language processing (NLP) to analyze the comments made by users on GitHub repositories. The AI system was able to automatically identify different types of comments, such as those that described problems or proposed solutions. The system was also able to identify which comments were more likely to be addressed by other users.

The results of the study showed that the AI system was able to accurately interpret the results of GitHub user interactions, and that this information could be used to improve the collaboration between developers on software projects. The study’s authors believe that this is just one example of how AI can be used to help developers better understand and manage software development projects.

Conclusion

This study is yet another example of how artificial intelligence is being used to analyze and understand data in ways that humans simply couldn’t do on their own. The researchers were able to use AI to quickly and accurately analyze the 2 million contributions made on GitHub, something that would have taken months or even years for humans to do. This study highlights the potential of AI and how it can be used to gain insights into complex data sets.

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Microsoft fumbles supply chain and acknowledges signing rootkit malware.

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Microsoft fumbles supply chain and acknowledges signing rootkit malware.

As of right now, Microsoft has admitted to signing a malicious driver that is disseminated in gaming contexts.

This “Netfilter”-named driver is actually a rootkit that has been seen interacting with Chinese C2 IP addresses.

Last week, the whole infosec. community joined G Data malware specialist Karsten Hahn in tracking down and analysing the malicious drivers that bore the Microsoft logo.

This incident exposed vulnerabilities to software supply-chain security once more, but this time it was caused by a flaw in the code-signing procedure used by Microsoft.

Rootkit “Netfilter” driver is Microsoft-signed.
A Microsoft signed driver dubbed “Netfilter” was detected last week by G Data’s cybersecurity alert systems as what at first glance appeared to be a false positive, but wasn’t.

The driver in question was observed interacting with C&C IPs based in China, which had no valid functionality and raised red flags.

This is when Karsten Hahn, a malware analyst at G Data, disclosed this publicly and contacted Microsoft at the same time:

Since Windows Vista, all code that operates in kernel mode must be tested and certified before being made available to the public in order to maintain the stability of the operating system.

According to Hahn, “Drivers without a Microsoft certificate cannot be deployed by default.”

At that time, BleepingComputer started tracking C2 URL behaviour and approached Microsoft for a comment.

A list of further routes (URLs), denoted by the pipe (“|”) symbol, are returned by the first C2 URL:

Each of these, in Hahn’s opinion, has a function:

The URL that ends in “/p” refers to proxy settings, “/s” offers encoded redirection IPs, “/h?” is for getting CPU-ID, “/c” offered a root certificate, and “/v?” refers to the malware’s self-updating capabilities.
For instance, as observed by BleepingComputer, the malicious Netfilter driver in question (residing at “/d3”) was accessible via the “/v?” path at the following URL:

After thoroughly examining the driver, the G Data researcher came to the conclusion that it was malware.

In a thorough blog post, the researcher examined the driver, its ability to self-update, and Indicators of Compromise (IOCs).

According to Hahn, the sample features a self-update routine that transmits its own MD5 hash to the server via the URL hxxp:/110.42.4.180:2081/v?v=6&m=.

An illustration of a request would be as follows:

hxxp:/110.42.4.180:2081/v?v=6&m=921fa8a5442e9bf3fe727e770cded4ab
“The server then replies with either ‘OK’ if the sample is current or the URL for the most recent sample, such as hxxp:/110.42.4.180:2081/d6. As a result, the malware replaces its own file “further information from the researcher

Other malware specialists like Johann Aydinbas, Takahiro Haruyama, and Florian Roth worked with Hahn during his analysis.

Roth has offered YARA rules for recognising them in your network environments after being able to compile the list of samples in a spreadsheet.

Microsoft is looking at a bad actor who spreads harmful drivers inside of gaming environments.

“In order to be certified by the Windows Hardware Compatibility Program, the actor supplied drivers. A third party created the drivers.”

Microsoft stated yesterday, “We have stopped the account and checked their uploads for additional indicators of malware.”

Microsoft claims that the threat actor primarily targeted the gaming industry in China with these malicious drivers and that there is currently no evidence that enterprise environments have been impacted.

Microsoft is waiting before blaming nation-state actors for this incident.

Sophisticated threat actors may take advantage of falsely signed binaries to help launch extensive software supply-chain attacks.

A well-known event in which code-signing certificates were taken from Realtek and JMicron to assist the comprehensive Stuxnet attack on Iran’s nuclear programme.

However, this specific instance has shown flaws in a reliable code-signing procedure, which threat actors have exploited to obtain Microsoft-signed code without jeopardising any certifications.

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FlexBooker reports a data breach, affecting more than 3.7 million accounts.

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FlexBooker reports a data breach, affecting more than 3.7 million accounts.

In an attack just before the holidays, the accounts of over three million customers of the American appointment scheduling service FlexBooker were taken, and they are now being exchanged on hacker forums.

The same hackers are also selling databases they claim to be from two other organisations: the Australian case management system rediCASE and the racing media outlet Racing.com.

Holiday breaches before
A few days before Christmas, there were supposedly three breaches, and the intruder posted the information on a hacking forum.

A popular programme for booking appointments and syncing employee calendars, FlexBooker, appears to be the source of the most recent data dump.

Owners of any company that needs to plan appointments, such as accountants, barbers, doctors, mechanics, lawyers, dentists, gyms, salons, therapists, trainers, spas, and the list goes on, are among FlexBooker’s clients.

The group claiming responsibility for the attack appears to go by the name of Uawrongteam, and they published links to files and archives containing personal information, including pictures, driver’s licences, and other IDs.

The database, according to Uawrongteam, has a table with 10 million lines of client data, including everything from payment forms and charges to pictures taken for driver’s licences.

Names, emails, phone numbers, password salt, and hashed passwords are among the database’s “juicy columns,” according to the actor.

Customers of FlexBooker have received a data breach notification that confirms the attack and that data on the service’s Amazon cloud storage system was “accessed and downloaded” by the intruders.

The letter states that “our account on Amazon’s AWS servers was compromised on December 23, 2021, starting at 4:05 PM EST,” adding that the attackers did not obtain “any credit card or other payment card information.”

FlexBooker advised consumers to be on the lookout for strange or fraudulent activities, and to monitor account statements and credit reports.

For further information, the developer also directed users to a report on a distributed denial-of-service (DDoS) attack. It was then determined that some customers’ personal information had been obtained by the hackers.

The FlexBooker assault exposed email addresses, names, partial credit card information, passwords, and phone numbers for more than 3.7 million users, according to the data breach reporting service Have I Been Pwned.

Prior to FlexBooker, the threat actor known as Uawrongteam distributed links to material that was purportedly taken from Racing.com, a digital television station that broadcasts horse racing and offers news, stats, and event calendars associated with the sport.

The data from the Redbourne Gang’s rediCASE Case Management Software, which is utilised by numerous enterprises in addition to health and community agencies, looks to be another target of the same group.

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Rapyd, a “fintech-as-a-service” provider, to acquire Iceland-based Valitor, which establishes in-store and on the internet payments technologies, for $100M (Omar Faridi/Crowdfund Expert).

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Rapyd, a “fintech-as-a-service” provider, to acquire Iceland-based Valitor, which develops in-store and online payments technologies, for $100M (Omar Faridi/Crowdfund Insider)

Omar Faridi / Crowdfund Insider:
Rapyd, a “fintech-as-a-service” provider, to acquire Iceland-based Valitor, which develops in-store and online payments technologies, for $100M  —  – Twitter- Facebook- LinkedIn- Pinterest- Reddit- HackerNews- Telegram- Weibo- Email- Print- Subscribe

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