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@Undercode_Testing

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@Undercode_News

3️⃣ CVE @Daily_CVE


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by Undercode.help
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▁ ▂ ▄ u𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑Behavior analysis-How a antimalware works
> secure yourself !

🦑𝕃𝔼𝕋'𝕊 𝕊𝕋𝔸ℝ𝕋:


Dr.Web Process Heuristic

The behavior analysis technology Dr.Web Process Heuristic is used to resist the latest and most dangerous malware. Such malware can avoid the traditional signature analysis and heuristic analysis mechanism.

Dr.Web Process Heuristic analyzes each startup process, compares it with the constantly updated Dr.Web cloud service, and judges whether the process is dangerous based on the latest understanding of malware behavior and whether it needs to take action to remove the threat.

🦑This data protection technology can minimize the loss caused by unknown viruses, while taking up very little resources of the protected system.

Dr.Web Process Heuristic monitors any attempts to change the system:

•Identify malicious software processes that maliciously change user files (such as the activity of encryption Trojans);

•Prevent malware from being implanted in other applications;

•Prevent malware from changing important areas of the system;

•Detect and block malicious scripts and processes and suspicious or unreliable scripts and processes;

•Prevent malware from changing the disk boot sector so that it (such as Bootkit) cannot start on the computer;

•Prevent modifications to the registry and prevent Windows Safe Mode from being disabled;

•Prohibit malicious software from changing software startup permissions;

•It is forbidden to secretly load new or unknown drivers;

•Prevent malicious software and some applications from starting automatically, such as software that specifically destroys the operation of anti-virus software, and prohibit it from completing self-starting after registering in the registry;

•It is forbidden to change the registry branch responsible for the virtual device driver to prevent Trojans from posing as virtual devices to the computer;

•Prevent malware from disrupting the normal operation of system services.

Dr.Web Process Dumper

Dr.Web Process Dumper is a packaged threat comprehensive analyzer, greatly improving the detection level of so-called "new threats". These so-called "new threats" are actually known threats hidden in the new packager. Using this analysis technology can avoid adding unnecessary new records to the virus database, thus ensuring the compactness of the Dr.Web virus database, and thus eliminating the need to raise system requirements, while maintaining consistent small traffic updates, while detection and removal Always at a high level.

Dr.Web ShellGuard

Dr.Web ShellGuard prevents vulnerability attacks, that is, exploiting vulnerabilities in malware to control applications and operating systems.

Dr.Web ShellGuard protects the following common applications that can be installed on the Windows operating system:

•Internet browsers (Internet Explorer, Mozilla Firefox, Yandex browser, Google Chrome, Vivaldi Browser, etc.);

•MS Office applications, including MS Office 2016;

•System application;

•Application programs using java, flash and pdf technology;

•media Player.

When analyzing risk operations, the protection system uses Dr.Web ShellGuard technology to analyze not only the sub-rules stored on the computer, but also the latest data collected in the Dr.Web cloud service, including:

•Malware algorithm;

•Clean file information;

•Digital signatures of well-known software manufacturers that have been stolen;

•Digital signatures used in advertising and risk programs;

•Information about websites that are not recommended to visit;

•Protection algorithms for different applications.

@uNDERCODEtESTING
▁ ▂ ▄ u𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁
For this reason, we have This bot on our telegram groups...as private report about malcious...
▁ ▂ ▄ u𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑MULTI BOOTS-GRUB SIMILARS :

>rEFInd. rEFInd is a fork of the rEFIt boot manager for computers based on the Extensible Firmware Interface (EFI) and Unified EFI...

> Visual BCD Editor. Visual BCD Editor - advanced GUI version

> bcdedit utility.

> Grub2Win. ...

> Libreboot. ...

> coreboot. ...

> GRUB4DOS and WINGRUB

> Gag.

🦑all avaible free on github.com

▁ ▂ ▄ u𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁
▁ ▂ ▄ u𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

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🦑Detailed explanation of the upload optimization of large-format files-for experts by undercode
▁ ▂ ▄ u𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑the whole idea

1) The first step is to combine the project background and investigate more optimized solutions.

2) File upload failure is a common problem.

3) The common solution is to slice a large file into multiple small files and upload them in parallel to the request interface. After all requests are answered, all the fragmented files are merged on the server side. When the upload of a fragment fails, you can judge when re-uploading, upload only the part that failed last time, reduce the user's waiting time, and ease the pressure on the server. This is the shard upload file.
🦑Large file upload

So how do you upload large files in pieces?

The flow chart is as follows:
🦑SO Divided into the following steps to achieve:

1. File MD5 encryption

MD5 is the unique identifier of the file. You can use the MD5 of the file to query the upload status of the file.

According to the file modification time, file name, last modification time and other information, generate MD5 of the file through spark-md5 . It should be noted that large-format files need to be read in pieces, and the contents of the read files are added to the hash calculation of spark-md5 until the file is read, and finally the final hash code is returned to the callback callback function. Here you can add a progress bar for file reading as needed.
🦑 The implementation method is as follows:
> md5File (file) {
return new Promise((resolve, reject) => {
let blobSlice =
File.prototype.slice ||
File.prototype.mozSlice ||
File.prototype.webkitSlice
let chunkSize = file.size / 100
let chunks = 100
let currentChunk = 0
let spark = new SparkMD5.ArrayBuffer()
let fileReader = new FileReader()
fileReader.onload = function (e) {
console.log('read chunk nr', currentChunk + 1, 'of', chunks)
spark.append(e.target.result) // Append array buffer
currentChunk++
if (currentChunk < chunks) {
loadNext()
} else {
let cur = +new Date()
console.log('finished loading')
// alert(spark.end() + '---' + (cur - pre)); // Compute hash
let result = spark.end()
resolve(result)
}
}
fileReader.onerror = function (err) {
console.warn('oops, something went wrong.')
reject(err)
}
function loadNext () {
let start = currentChunk * chunkSize
let end =
start + chunkSize >= file.size ? file.size : start + chunkSize
fileReader.readAsArrayBuffer(blobSlice.call(file, start, end))
}
loadNext()
})
}
2. Query file status

After the front end to get MD5 file, query whether there is a name from the background MD5of the folder, if present, are listed in the folder and all files, get a list of sections have been uploaded, and if not, the list of already uploaded slice is empty.
checkFileMD5 (file, fileName, fileMd5Value, onError) {
const fileSize = file.size
const { chunkSize, uploadProgress } = this
this.chunks = Math.ceil(fileSize / chunkSize)
return new Promise(async (resolve, reject) => {
const params = {
fileName: fileName,
fileMd5Value: fileMd5Value,
}
const { ok, data } = await services.checkFile(params)
if (ok) {
this.hasUploaded = data.chunkList.length
uploadProgress(file)
resolve(data)
} else {
reject(ok)
onError()
}
})
}
3. File fragmentation

The core of file upload optimization is file fragmentation. The slice method in the Blob object can cut the file. The File object inherits the Blob object, so the File object also has a slice method.

Define the size variable of each slice file as chunkSize, get the number of slice chunks from the file size FileSize and the slice size chunkSize, use the for loop and file.slice () method to slice the file, the sequence number is 0-n, and The uploaded slice list is compared to get all unuploaded slices and pushed to the request list requestList.