{
      "registry-mirrors": ["https://mirror.gcr.io"]
    }

ByBit asked eXch to freeze the ETH that was stolen. eXch's response from their Bitcointalk thread 😬

A "hot wallet" is a cryptocurrency wallet that is actively being used for immediate trading operations. For exchanges, hot wallets typically contain only a small portion of their total assets (usually 5-10%) that's needed for day-to-day transactions and withdrawals.

On June 17, 2016, the DAO was subjected to an attack exploiting a combination of vulnerabilities, including the one concerning recursive calls, that resulted in the transfer of 3.6 million Ether - around a third of the 11.5 million Ether that had been committed to The DAO - valued at the time at around $50 million.

They often develop their own malware and have their own set of tools and a team of specialists.
APT attacks are commonly attributed to a particular group based on the combination of the malware/tools used and the techniques used to deploy it. Some groups have their own custom malware that is only used by them, while others may use the same tools as other groups. Groups also differ in their choice of targets, attack techniques, and other factors. This means that, while the attribution of a cyberattack is never guaranteed to be correct, it is possible to identify the group behind an attack with high confidence.

- Support for over 250+ tools across multiple categories: Software tools like GitHub, Notion, Linear, Gmail, Slack, Hubspot, Salesforce & more
- Comprehensive framework support including OpenAI, Groq, Claude, LlamaIndex, Langchain, CrewAI, Autogen, Gemini, and more
- Managed authentication supporting multiple protocols (OAuth, API Keys, Basic JWT)
- Pluggable architecture supporting custom tools and extensions

package main

import (
  "fmt"
  "math/rand"

  "github.com/go-vgo/robotgo"
  "github.com/vcaesar/gcv"
  "github.com/vcaesar/bitmap"
)

func main() {
  opencv()
}

func opencv() {
  name := "test.png"
  name1 := "test_001.png"
  robotgo.SaveCapture(name1, 10, 10, 30, 30)
  robotgo.SaveCapture(name)

  fmt.Print("gcv find image: ")
  fmt.Println(gcv.FindImgFile(name1, name))
  fmt.Println(gcv.FindAllImgFile(name1, name))

  bit := bitmap.Open(name1)
  defer robotgo.FreeBitmap(bit)
  fmt.Print("find bitmap: ")
  fmt.Println(bitmap.Find(bit))

  // bit0 := robotgo.CaptureScreen()
  // img := robotgo.ToImage(bit0)
  // bit1 := robotgo.CaptureScreen(10, 10, 30, 30)
  // img1 := robotgo.ToImage(bit1)
  // defer robotgo.FreeBitmapArr(bit0, bit1)
  img, _ := robotgo.CaptureImg()
  img1, _ := robotgo.CaptureImg(10, 10, 30, 30)

  fmt.Print("gcv find image: ")
  fmt.Println(gcv.FindImg(img1, img))
  fmt.Println()

  res := gcv.FindAllImg(img1, img)
  fmt.Println(res[0].TopLeft.Y, res[0].Rects.TopLeft.X, res)
  x, y := res[0].TopLeft.X, res[0].TopLeft.Y
  robotgo.Move(x, y-rand.Intn(5))
  robotgo.MilliSleep(100)
  robotgo.Click()

  res = gcv.FindAll(img1, img) // use find template and sift
  fmt.Println("find all: ", res)
  res1 := gcv.Find(img1, img)
  fmt.Println("find: ", res1)

  img2, _, _ := robotgo.DecodeImg("test_001.png")
  x, y = gcv.FindX(img2, img)
  fmt.Println(x, y)
}

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