#GetPixel
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bravemodels · 2 years ago
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👾 @margheritaroversi for LOEWE SS23 👾 #GetPixelated @loewe Photographer @jules.jpeg Creative Director @jonathan.anderson #bebrave #bravemodels #bravemodelsmilan
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shovondob · 2 years ago
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Pixel Pro 7 is the perfect digital photography solution for busy professionals and hobbyists alike. With its powerful features, intuitive design, and affordable price tag, Pixel Pro 7 is the ultimate digital photography tool. GetPixel Pro 7 today and create stunning photos with ease.
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epochtutorials · 4 years ago
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C# Tutorial: How To Convert a Color Image To Grayscale - Epoch Abuse Here is a C# tutorial on how to convert a color image to 8-bit grayscale using GetPixel method and LockBits method. Complete code and .exe file is available.
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terabitweb · 6 years ago
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Original Post from Trend Micro Author: Trend Micro
By: Augusto Remillano and Kiyoshi Obuchi (Threats Analysts)
Powload’s staying power in the threat landscape shows how far it has come. In fact, the uptick of macro malware in the first half of 2018 was due to Powload, which was distributed via spam emails. Powload was also one of the most pervasive threats in the North American region in 2018, using various techniques to deliver payloads such as the information-stealing Emotet, Bebloh, and Ursnif. Our Powload detections and the number of related cases/incidents and unique samples we analyzed in 2018 also markedly increased compared to 2017. Powload’s evolving techniques, on the other hand, show how far it’ll go. While its use of spam email as a distribution method could be its constant, it has employed different ways of delivering payloads, from bypassing mitigations like a document’s preview mode to using fileless techniques and hijacking email accounts.
Figure 1. Detections for Powload based on data from Trend MicroSmart Protection Network (left) and number of incidents/cases where unique samples of Powload were analyzed (right)
In some of the recent Powload-related incidents we saw, we noticed significant changes to some of the attachments in the spam emails: the use of steganography and targeting of specific countries. Figure 2 shows the difference. For example, the samples we analyzed in early 2018 had more straightforward infection chains. These updates added another stage to the execution of malicious routines as a way to evade detection.
The Powload variants that use these techniques drop and execute the Ursnif and Bebloh data stealers. We did not see any notable differences in the payloads’ routines. The distribution tactics also resemble a spam campaign we uncovered last year, which delivered the same information stealers but distributed via the Cutwail botnet.
Figure 2. Powload’s typical execution flows (top, center) and its attack chain using steganography (bottom)
How Powload uses steganography The use of steganography — hiding code within an image — isn’t new. Hacking groups, for instance, are known to use steganography for retrieving their backdoors. Exploit kits employ it to hide their malvertising traffic, while other threats use it to hide their command-and-control (C&C) communication.
In Powload’s case, it uses steganography to retrieve an image containing malicious code. Based on the code-extraction routines of the Powload variants we analyzed, they abuse a publicly available script (Invoke-PSImage) to create the images containing their malicious codes.
The attachments in the spam emails have malicious macro code embedded inside the document that executes a PowerShell script, which downloads an image hosted online. It then processes the downloaded image to acquire the code hidden inside the image.
Figure 3. Snapshot of code showing a PowerShell script downloading an image and acquiring the hidden code using GetPixel (highlighted)
Figure 4. Screenshot of an image containing the malicious code
Figure 5. Examples of spam email sent to recipients, using purchase order/invoice- (left) and reference material/“signboard”-related social engineering lures to urge users to download and click the attachments
Targeted campaigns? Another trend we observed in Powload-embedded spam emails is the specificity in their targets. By singling out a country — using region-specific brands and vocabulary — to send their spam to, the email content and its attachment can be more convincing to unwitting recipients.
Another drawback is that automated and traditional sandbox solutions whose regional settings aren’t set to the spam email’s targeted country won’t be able to properly analyze the malware.
The methods for region detection vary from the samples we analyzed. Some use the PowerShell command “Get-Culture” to obtain the computer’s regional settings. Others get the value of the xlCountrySetting property (which returns information about the current regional settings) in Excel to determine the affected machine’s location. Some samples, on the other hand, determine the location by accessing a URL (hxxp://ipinfo.io/country), a free tool that returns an IP address’ country.
Figure 6. Snapshot of PowerShell script that checks whether the machine’s regional settings is set to Japan (highlighted)
Figure 7. Snapshot showing how the macro code will only execute its main routine if the xlCountrySetting is equal to 81 (Japan) or 82 (Korea)
Figure 8. PowerShell command that connects to ipinfo[.]io
Addressing Powload’s persistence Powload’s persistence as one of 2018’s most prevalent threats highlights the effectiveness of its latest techniques — despite being relatively old. We expect Powload’s developers to continue to add more malicious routines to their malware, and given how it serves as a catalyst for other threats, we also expect Powload to deliver payloads other than information stealers. Users must always practice cybersecurity hygiene and be more prudent against dubious, unsolicited emails, while businesses should enforce proactive countermeasures to secure their online perimeters.
The following Trend Micro solutions protect users and businesses by blocking the malicious documents and scripts and preventing access to attacker-specified domains: Trend Micro Security, Smart Protection Suites, and Worry-Free Business Security.
Indicators of Compromise (IoCs): Related hashes (SHA-256):
23e85ee19a2f46f4f462e72995b6a91616ea2f315908c1566c36cd0afc3aa200 — detected by Trend Micro as Trojan.X97M.DLOADR.JHKK
667e30b20e0986c7def59f66d871a579a32f150b61f64aefd431864b33dced12 — Trojan.X97M.DLOADR.JHKH
75a46329eed0e0a2948f4c5e35a3fda1e0f3a23d059ba019de33c654ff0e84fa — Trojan.X97M.POWLOAD.NSFGAIDM
81e10dc5acf7b150591d147c1101fed72d90648f1ec40a20798836d07258b804 — Trojan.X97M.POWLOAD.NSFGAIBQ
The post From Fileless Techniques to Using Steganography: Examining Powload’s Evolution appeared first on .
#gallery-0-5 { margin: auto; } #gallery-0-5 .gallery-item { float: left; margin-top: 10px; text-align: center; width: 33%; } #gallery-0-5 img { border: 2px solid #cfcfcf; } #gallery-0-5 .gallery-caption { margin-left: 0; } /* see gallery_shortcode() in wp-includes/media.php */
Go to Source Author: Trend Micro From Fileless Techniques to Using Steganography: Examining Powload’s Evolution Original Post from Trend Micro Author: Trend Micro By: Augusto Remillano and Kiyoshi Obuchi (Threats Analysts) 855 more words
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peace-live · 8 years ago
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「Fall Creators Update」でGetPixel/SetPixel関数が遅くなる問題 ~一部アプリの動作速度に影響/現時点での有効な回避策は確認されていない
https://forest.watch.impress.co.jp/docs/news/1095865.html ピースライブ
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jesusninoc · 7 years ago
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Detectar el color de un píxel en PowerShell
Detectar el color de un píxel en PowerShell
$GDI = Add-Type -MemberDefinition @' [DllImport("user32.dll")] static extern IntPtr GetDC(IntPtr hwnd); [DllImport("user32.dll")] static extern Int32 ReleaseDC(IntPtr hwnd, IntPtr hdc); [DllImport("gdi32.dll")] static extern uint GetPixel(IntPtr hdc,int nXPos,int nYPos); static public int GetPixelColor(int x, int y) { IntPtr hdc = GetDC(IntPtr.Zero); uint pixel = GetPixel(hdc, x, y);…
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jesusninoc · 7 years ago
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Detectar el color de un píxel en Python
Detectar el color de un píxel en Python
import pyautogui im = pyautogui.screenshot() im.getpixel((215,349))
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jesusninoc · 7 years ago
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Comparar dos imágenes con PowerShell indicando el momento en el que empieza la diferencia
#Es necesario que las dos imágenes estén en la misma posición inicial $foto1 = [System.Drawing.Bitmap]::FromFile('C:\Users\juan\Desktop\recono\coche.png') $foto2 = [System.Drawing.Bitmap]::FromFile('C:\Users\juan\Desktop\recono\coche - copia.png') $pixelestotales=0 $pixelesdistintos=0 $primeraposicion=0 for($y=0;$y -lt $foto1.Height;$y+=1) { for($x=0;$x -lt $foto1.Width;$x+=1) {…
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jesusninoc · 7 years ago
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Convert una imagen JPG a caracteres en la consola de PowerShell
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$Cave = [System.Drawing.Bitmap]::FromFile( '.\juan2.jpg' ) $cave $i=0 $a=0 $array = @() for ($y = 0;$y -lt $Cave.Height;$y+=1) { for ($x = 0;$x -lt $Cave.Width;$x+=1) { $col=$Cave.GetPixel($x,$y).Name if ($i -lt $Cave.Width -1) { switch ($col) { "ff000000" { Write-Host "X" -BackgroundColor Black -ForegroundColor White -NoNewLine $array += "X" } default{ Write-Host " " -BackgroundColor white…
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jesusninoc · 8 years ago
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Detectar el color de un píxel de una captura de pantalla con PyAutoGUI
import pyautogui im = pyautogui.screenshot() im.getpixel((215,349))
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