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Empire: LupinOne Vulnhub Walkthrough
Empire: LupinOne is a Vulnhub easy-medium machine designed by icex64 and Empire Cybersecurity. This lab is appropriate for seasoned CTF players who want to put
The post Empire: LupinOne Vulnhub Walkthrough appeared first on Hacking Articles.
Empire: LupinOne Vulnhub Walkthrough
Empire: LupinOne is a Vulnhub easy-medium machine designed by icex64 and Empire Cybersecurity. This lab is appropriate for seasoned CTF players who want to put
The post Empire: LupinOne Vulnhub Walkthrough appeared first on Hacking Articles.
Hacking Articles Tips Tricks Videos Tutorials
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KitPloit - PenTest Tools!
Spamscanner - Spam Scanner Is The Best Anti-Spam, Email Filtering, And Phishing Prevention Service
https://blogger.googleusercontent.com/img/a/AVvXsEjxXIyI9IEj85buS3iQCYG9lPZCCCJIFGdXxsyUU1SCLXBk2FWJbdmncwyiMw2hppAe3S9933ZDEKZNrnyAN_Bj8r9ESJpHiz3p3eOYf493Ec1mOseLgoe_i17nppaBgozR5ahG_JKJN5QqXg2ttUxczuSAY1UZefO6GcYua5DqDf0UzA5x5tUNp1ul5Q=w640-h216 Spam Scanner is the best anti-spam, email filtering, and phishing prevention service.
Spam Scanner is a drop-in replacement and the best alternative to SpamAssassin, rspamd, SpamTitan, and more. ForewordSpam Scanner is a tool and service built by @niftylettuce after hitting countless roadblocks with existing spam-detection solutions. In other words, it's our current plan for spam.
Our goal is to build and utilize a scalable, performant, simple, easy to maintain, and powerful API for use in our service at Forward Email to limit spam and provide other measures to prevent attacks on our users.
Initially we tried using SpamAssassin, and later evaluated rspamd – but in the end we learned that all existing solutions (even ones besides these) are overtly complex, missing required features or documentation, incredibly challenging to configure; high-barrier to entry, or have proprietary storage backends (that could store and read your messages without your consent) that limit our scalability.
To us, we value privacy and the security of our data and users – specifically we have a "Zero-Tolerance Policy" on storing logs or metadata of any kind, whatsoever (see our Privacy Policy for more on that). None of these solutions honored this privacy policy (without removing essential spam-detection functionality), so we had to create our own tool – thus "Spam Scanner" was born.
The solution we created provides several Features and is completely configurable to your liking. You can learn more about the actual Algorithm below. Contributors are welcome. FeaturesSpam Scanner includes modern, essential, and performant features that to help reduce spam, phishing, and executable attacks. Naive Bayes ClassifierOur Naive Bayesian classifier is available in this repository, the npm package, and is updated frequently as it gains upstream, anonymous, SHA-256 hashed data from Forward Email.
It was trained with an extremely large dataset of spam, ham, and abuse reporting format ("ARF") data. This dataset was compiled privately from multiple sources. Spam Content DetectionProvides an out of the box trained Naive Bayesian classifier (uses naivebayes and natural under the hood), which is sourced from hundreds of thousands of spam and ham emails. This classifier relies upon tokenized and stemmed words (with respect to the language of the email as well) into two categories ("spam" and "ham"). Phishing Content DetectionRobust phishing detection approach which prevents domain swapping, IDN homograph attacks, and more. Executable Link and Attachment DetectionLink and attachment detection techniques that checks links in the message, "Content-Type" headers, file extensions, magic number, and prevents homograph attacks on file names – all against a list of executable file extensions. Virus DetectionUsing ClamAV, it scans email attachments (including embedded CID images) for trojans, viruses, malware, and/or other malicious threats. NSFW Image DetectionWe have plans to add NSFW image detection and opt-in toxicity detection as well. AlgorithmIn a nutshell, here is how the Spam Scanner algorithm works:
1.
A message is passed to Spam Scanner, known as the "source".
2.
In parallel and asynchronously, the source is passed to functions that detect the following:
* Classification
* Phishing
* Executables
* Arbitrary
* Viruses
3.
After all functions complete, if any returned a value indicating it i[...]
Spamscanner - Spam Scanner Is The Best Anti-Spam, Email Filtering, And Phishing Prevention Service
https://blogger.googleusercontent.com/img/a/AVvXsEjxXIyI9IEj85buS3iQCYG9lPZCCCJIFGdXxsyUU1SCLXBk2FWJbdmncwyiMw2hppAe3S9933ZDEKZNrnyAN_Bj8r9ESJpHiz3p3eOYf493Ec1mOseLgoe_i17nppaBgozR5ahG_JKJN5QqXg2ttUxczuSAY1UZefO6GcYua5DqDf0UzA5x5tUNp1ul5Q=w640-h216 Spam Scanner is the best anti-spam, email filtering, and phishing prevention service.
Spam Scanner is a drop-in replacement and the best alternative to SpamAssassin, rspamd, SpamTitan, and more. ForewordSpam Scanner is a tool and service built by @niftylettuce after hitting countless roadblocks with existing spam-detection solutions. In other words, it's our current plan for spam.
Our goal is to build and utilize a scalable, performant, simple, easy to maintain, and powerful API for use in our service at Forward Email to limit spam and provide other measures to prevent attacks on our users.
Initially we tried using SpamAssassin, and later evaluated rspamd – but in the end we learned that all existing solutions (even ones besides these) are overtly complex, missing required features or documentation, incredibly challenging to configure; high-barrier to entry, or have proprietary storage backends (that could store and read your messages without your consent) that limit our scalability.
To us, we value privacy and the security of our data and users – specifically we have a "Zero-Tolerance Policy" on storing logs or metadata of any kind, whatsoever (see our Privacy Policy for more on that). None of these solutions honored this privacy policy (without removing essential spam-detection functionality), so we had to create our own tool – thus "Spam Scanner" was born.
The solution we created provides several Features and is completely configurable to your liking. You can learn more about the actual Algorithm below. Contributors are welcome. FeaturesSpam Scanner includes modern, essential, and performant features that to help reduce spam, phishing, and executable attacks. Naive Bayes ClassifierOur Naive Bayesian classifier is available in this repository, the npm package, and is updated frequently as it gains upstream, anonymous, SHA-256 hashed data from Forward Email.
It was trained with an extremely large dataset of spam, ham, and abuse reporting format ("ARF") data. This dataset was compiled privately from multiple sources. Spam Content DetectionProvides an out of the box trained Naive Bayesian classifier (uses naivebayes and natural under the hood), which is sourced from hundreds of thousands of spam and ham emails. This classifier relies upon tokenized and stemmed words (with respect to the language of the email as well) into two categories ("spam" and "ham"). Phishing Content DetectionRobust phishing detection approach which prevents domain swapping, IDN homograph attacks, and more. Executable Link and Attachment DetectionLink and attachment detection techniques that checks links in the message, "Content-Type" headers, file extensions, magic number, and prevents homograph attacks on file names – all against a list of executable file extensions. Virus DetectionUsing ClamAV, it scans email attachments (including embedded CID images) for trojans, viruses, malware, and/or other malicious threats. NSFW Image DetectionWe have plans to add NSFW image detection and opt-in toxicity detection as well. AlgorithmIn a nutshell, here is how the Spam Scanner algorithm works:
1.
A message is passed to Spam Scanner, known as the "source".
2.
In parallel and asynchronously, the source is passed to functions that detect the following:
* Classification
* Phishing
* Executables
* Arbitrary
* Viruses
3.
After all functions complete, if any returned a value indicating it i[...]
Massive Users Account Takeovers(Chaining Vulnerabilities to IDOR)
https://medium.com/@varmaanu001/massive-users-account-takeovers-chaining-vulnerabilities-to-idor-ea4e1b6407d2?source=rss------bug_bounty-5
https://medium.com/@varmaanu001/massive-users-account-takeovers-chaining-vulnerabilities-to-idor-ea4e1b6407d2?source=rss------bug_bounty-5
Hello hunters 👋✌ this is my 7th writeup 🧾,Continue reading on Medium » (https://medium.com/@varmaanu001/massive-users-account-takeovers-chaining-vulnerabilities-to-idor-ea4e1b6407d2?source=rss------bug_bounty-5)
Hello everyone I am HAC and Today we will be doing jerry from HacktheboxContinue reading on Medium » (https://hac7323.medium.com/jerry-from-hackthebox-6fa04931d8d4?source=rss------bug_bounty-5)
Massive Users Account Takeovers(Chaining Vulnerabilities to IDOR)
Hello hunters 👋✌ this is my 7th writeup 🧾,Continue reading on Medium »
Read more...
Hello hunters 👋✌ this is my 7th writeup 🧾,Continue reading on Medium »
Read more...
Jerry From Hackthebox
Hello everyone I am HAC and Today we will be doing jerry from HacktheboxContinue reading on Medium »
Read more...
Hello everyone I am HAC and Today we will be doing jerry from HacktheboxContinue reading on Medium »
Read more...
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Hacking on Medium
Jerry From Hackthebox
https://cdn-images-1.medium.com/max/683/1*QynF5wxjTv44OqHsJKFatg.png
Hello everyone I am HAC and Today we will be doing jerry from Hackthebox
Continue reading on Medium »
Jerry From Hackthebox
https://cdn-images-1.medium.com/max/683/1*QynF5wxjTv44OqHsJKFatg.png
Hello everyone I am HAC and Today we will be doing jerry from Hackthebox
Continue reading on Medium »