Insider’s Secrets To Bug Bounty Success: Pro Tips, Tactics, And Faqs – Home » Blog » LockBit 3.0 Ransomware Learns From Defenders, Launches Bug Bounty Program, Demands ‘Hack Me’
LockBit is one of the largest ransomware-as-a-service (RaaS) operations in history, and its evolution exemplifies the continued commoditization of attacks and underground innovation. Since LockBit 3.0 (also known as LockBit Black) was released in June 2022, the latest version has continued to make headlines – most recently for exploiting vulnerabilities in Log4j and abusing popular antivirus systems to avoid detection. As ransomware threats continue to evolve, reports like this highlight the importance of defense in depth.
Insider’s Secrets To Bug Bounty Success: Pro Tips, Tactics, And Faqs
Known as “ABCD” when it launched in September 2019, LockBit quickly evolved into a RaaS affiliate program, a subscription-based business model that allows criminals of all skill levels to purchase directly from the developer. Ransomware, these developers can earn a certain percentage of ransomware. All ransoms.
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LockBit 2.0 was relaunched in mid-2021 with improved features and hailed by its creators as “the world’s fastest encryption software”. Finally, researchers tested it and found the claim to be true. LockBit 2.0 quickly grew in popularity and was used by threat actors to perform dual extortion attempts against Windows computers and Linux servers (ESXi servers). ZDNet reports that “LockBit’s operators will use any method available to compromise the network while it is still operational.” In February 2022, the FBI warned organizations to strengthen their ransomware defenses against LockBit 2.0, an attack chain that follows variants. :
Meanwhile, the highly organized LockBit group continues to innovate and modernize its operations, joining forces with other ransomware gangs, promoting underground hackathons to attract new talent, and even recruiting corporate insiders to gain initial access to employer networks. The announced dissolution of competitor Conti appears to have further strengthened LockBit’s market position. According to the KSH report, LockBit was responsible for 40% of the ransomware attacks analyzed in May 2022. After product improvements and a beta testing period, LockBit 3.0 was released at the end of June 2022 with “Make ransomware great again” and new rules. commitment of associate members and victim organizations.
Threat researchers around the world continue to work on obtaining and analyzing LockBit 3.0 samples and sharing the results to help organizations strengthen their defenses against ransomware. Based on collaborative efforts, media coverage, and lab analysis, three notable features of LockBit 3.0 are:
These recent revelations highlight the need for threat detection controls and policies to immediately identify and block suspicious activity related to Log4j or other critical vulnerabilities. For example, configuring a policy to detect and block instances of java.exe used as the parent process of cmd.exe or powershell.exe is one way to block Log4j and similar exploits, since java.exe is unlikely to start these processes. if it were legitimate. in the scene. In addition, continuous monitoring of all running and running programs and their associated permissions greatly increases resistance to attackers attempting to run the data portion of ransomware, manipulate security and recovery controls, or bridge vulnerabilities.
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Ransomware attackers continue to refine their methods, and as LockBit 3.0 demonstrates, each product release offers a chance to change the game.
Work hard to prevent malware from succeeding at every step of the cyber kill chain, but never at the expense of the end user. Deploying the right multi-layered defenses, including privileged endpoint security controls, can help balance security and productivity—protecting endpoints while transparently and automatically increasing end-user access to break the cyber attack chain and forcing the attacker to look elsewhere . .
What it looks like: Consistent least privilege enforcement (for both initial system access and ongoing endpoint operations – workstations and servers), multi-layered core endpoint controls such as credential theft prevention, targeted data based on a ransomware center strategy, control applications , MFA, continuous threat detection and response, consistent OS and software patching, and network segmentation help organizations detect and defend against all types of ransomware attacks.
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East African customers have trusted Diamond Trust Bank (DTB) for banking services for over 70 years… Here’s another debug automation blog that explains the thinking behind crawling and listing JavaScript files. Modern web applications are largely built on JavaScript. From API calls to most business logic, many key functions are now built on the client side. However, if we fully understand the target’s client-side logic, we can uncover some unique vulnerabilities.
There are a number of great open source tools specifically designed to browse and list JavaScript archives. Every fault finder approaches their goal with a unique thought process, so everyone will find different vulnerabilities. As I have been researching several web applications, I would like to know how to apply my existing approach. My thought process was, what if I could automate my approach based on my requirements?
Note: All the above tools are open source tools. We can use them to our own detriment, not to attack others.
Offsecdawn/mini_recon You cannot perform this operation at this time. You have logged in on another tab or window. Exit to another tab or… github.com
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Let me explain my approach with screenshots. I have included comments where necessary to make them easy to understand. The screenshot below shows how to extract only the FQDN (domain) value from a given URL.
After extracting the domain value from a given URL, pass the value to the hackcrawler to crawl and extract all possible links and JavaScript files under that path. The results are stored in the system
Tomnomnom creates several gf patterns to identify patterns in files. This tool is useful when a bug hunter wants to identify patterns such as AWS_keys, firebase URLs or details, etc. The great flexibility of gf allows each bug hunter to create his pattern according to his own needs.
As a bug hunter, everyone knows how important it is to find subdomains. Because modern applications interact with multiple internal domains, it’s a good strategy to find out which subdomains are referenced internally by JavaScript. Because most of the time, a hidden subdomain is always running, which can also lead to the internal achievement of the goal.
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JSFinder.py is an open source tool that extracts subdomains related to our main domain from all JavaScript archives.
Content discovery is one of the most important tasks in bounty hunting, as it detects sensitive information, installation files, backup files, etc. reveals. Most of the time, hunters use a predetermined checklist to search for content. However, I strongly recommend that everyone create their own directory list based on their goals. Because compared to a general vocabulary list, the chance of success is higher.
The JavaScript archive in the target helps a lot in identifying the library path. Since these routes will be used regularly and depending on the destination, these routes will also be unique.
JavaScript files are considered the treasure of modern web applications. Sometimes developers can accidentally leave sensitive information such as API keys and database connection details in client scripts. Therefore, secrets and sensitive information should be found in JavaScript files.
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As mentioned above, kernels also do a good job of identifying sensitive information in JavaScript files. The tool includes many templates created by security researchers. I recommend everyone to explore this tool.
Since most hunters know the purpose of each tool, I don’t want to waste time explaining what each tool does. I just explained how to find the errors. I hope everyone finds the right path for them! ! !
Warning: You may not misuse this information for unauthorized access. However, you can try these hacks on your own computer at your own risk. Hacking (without permission) into a computer that is not yours is illegal.
Tomnomnom/gfA wraps grep to avoid typing common patterns. I use grep a lot. When checking the repository, look at… github.com
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Hakluke/hakrawlerhakrawler is a Go web crawler designed to easily and quickly explore web application endpoints and resources. github.com
Machinexa2/JScanner A simple but powerful tool for detecting, finding vulnerabilities and secrets using custom and predefined regular expressions. Search… github.com
Project/Kernel Discovery Fast and customizable vulnerability scanner based on a simple YAML-based DSL. Security Engineers *install*… github.com
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